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Mark Florimond Steel

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Eduardo Ley & Mark F.J. Steel, 2009. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression This article was published online on 30 March 2009. An error was subsequently identified. This not," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 651-674.

    Mentioned in:

    1. On the effect of prior assumptions in Bayesian model averaging with applications to growth regression (Journal of Applied Econometrics 2009) in ReplicationWiki ()
  2. Koop, Gary & Steel, Mark F J, 1991. "To Criticize the Critics: An Objective Bayesian Analysis of Stochastic Trends: A Comment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(4), pages 365-370, Oct.-Dec..

    Mentioned in:

    1. A comment on: ‘To criticize the critics: An objective bayesian analysis of stochastic trends’, By Peter C. B. Phillips (Journal of Applied Econometrics 1991) in ReplicationWiki ()
  3. Miguel A. Juárez & Mark F. J. Steel, 2010. "Non‐gaussian dynamic bayesian modelling for panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1128-1154, November/.

    Mentioned in:

    1. Non-Gaussian dynamic Bayesian modelling for panel data (Journal of Applied Econometrics 2010) in ReplicationWiki ()
  4. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.

    Mentioned in:

    1. Model uncertainty in cross-country growth regressions (Journal of Applied Econometrics 2001) in ReplicationWiki ()
  5. Eduardo Ley & Mark F. J. Steel, 2009. "Comments on ‘Jointness of growth determinants’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 248-251, March.

    Mentioned in:

    1. Comments on ‘Jointness of growth determinants’ (Journal of Applied Econometrics 2009) in ReplicationWiki ()

Working papers

  1. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 81568, University Library of Munich, Germany.

    Cited by:

    1. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Online Appendix to "Intertemporal Substitution in Labor Supply: A Meta-Analysis"," Online Appendices 23-196, Review of Economic Dynamics.
    2. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Steven Lehrer & Tian Xie, 2020. "The Bigger Picture: Combining Econometrics with Analytics Improve Forecasts of Movie Success," Working Paper 1449, Economics Department, Queen's University.
    4. Nimonka Bayale & Brigitte Kanga Kouassi, 2022. "The Devil is in the Details: On the Robust Determinants of Development Aid in G5 Sahel Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(4), pages 646-680, December.
    5. Jose Olmo & Marcos Sanso‐Navarro, 2021. "Modeling the spread of COVID‐19 in New York City," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1209-1229, October.
    6. Andros Kourtellos & Charalambos G. Tsangarides, 2015. "Robust Correlates of Growth Spells: Do Inequality and Redistribution Matter?," Working Paper series 15-20, Rimini Centre for Economic Analysis.
    7. Prakhar Bansal & Rahul Kumar & Somesh Kumar, 2021. "Disease Detection in Apple Leaves Using Deep Convolutional Neural Network," Agriculture, MDPI, vol. 11(7), pages 1-23, June.
    8. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    9. Josef Bajzik & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2023. "Do Shareholder Activism Announcements Affect Stock Prices? A Meta-Analysis," Working Papers 2023/17, Czech National Bank.
    10. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2020. "Remittances and economic growth: A meta-analysis," World Development, Elsevier, vol. 134(C).
    11. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    12. Taisuke Imai & Tom A Rutter & Colin F Camerer, 2021. "Meta-Analysis of Present-Bias Estimation using Convex Time Budgets," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1788-1814.
    13. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
    14. Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021. "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers 457, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    15. Zhong, Qing & Nelson, Jake R. & Tong, Daoqin & Grubesic, Tony H., 2022. "A spatial optimization approach to increase the accuracy of rooftop solar energy assessments," Applied Energy, Elsevier, vol. 316(C).
    16. Grover, Arti & Lall, Somik & Timmis, Jonathan, 2023. "Agglomeration economies in developing countries: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    17. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    18. Yin‐Wong Cheung & Shi He, 2022. "RMB misalignment: What does a meta‐analysis tell us?," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1038-1086, September.
    19. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    20. Enrique Labrada & Luis Huesca, "undated". "Data management in household income and expenditure surveys: Working with extended families using Stata," Mexican Stata Conference 2023 19, Stata Users Group.
    21. Sallie Yea & Stephanie Chok, 2018. "Unfreedom Unbound: Developing a Cumulative Approach to Understanding Unfree Labour in Singapore," Work, Employment & Society, British Sociological Association, vol. 32(5), pages 925-941, October.
    22. Zhang, Xinyu & Liu, Chu-An, 2023. "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, vol. 235(1), pages 280-301.
    23. Song, Yunquan & Liang, Xijun & Zhu, Yanji & Lin, Lu, 2021. "Robust variable selection with exponential squared loss for the spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    24. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    25. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    26. Inkoo Cho & Noah Williams, 2024. "Collusive Outcomes Without Collusion," Papers 2403.07177, arXiv.org.
    27. Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," IZA Discussion Papers 15433, Institute of Labor Economics (IZA).
    28. Kevin Huynh, 2024. "Weighted-Average Least Squares for Negative Binomial Regression," Papers 2404.11324, arXiv.org.
    29. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    30. Chris Doucouliagos & Jakob de Haan & Jan-Egbert Sturm, 2022. "What drives financial development? A Meta-regression analysis [A new database of financial reforms]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 840-868.
    31. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    32. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    33. In, YeonJun & Jung, Jae-Yoon, 2022. "Simple averaging of direct and recursive forecasts via partial pooling using machine learning," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1386-1399.
    34. Nima Zarrabi & Stuart Snaith & Jerry Coakley, 2022. "Exchange rate forecasting using economic models and technical trading rules," The European Journal of Finance, Taylor & Francis Journals, vol. 28(10), pages 997-1018, July.
    35. Huihang Liu & Xinyu Zhang, 2023. "Frequentist model averaging for undirected Gaussian graphical models," Biometrics, The International Biometric Society, vol. 79(3), pages 2050-2062, September.
    36. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    37. David Kaplan, 2021. "On the Quantification of Model Uncertainty: A Bayesian Perspective," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 215-238, March.
    38. Mihaela-Eugenia VASILACHE, 2018. "Forecasting the Trend of Art Market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 6(1), pages 82-93, June.
    39. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    40. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    41. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    42. Zhang, Jitao & Yang, Yongliang, 2023. "Can environmental disclosure improve price efficiency? The perspective of price delay," Finance Research Letters, Elsevier, vol. 52(C).
    43. Alfredo Altuzarra & Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2022. "Identification of Homogeneous Groups of Actors in a Local AHP-Multiactor Context with a High Number of Decision-Makers: A Bayesian Stochastic Search," Mathematics, MDPI, vol. 10(3), pages 1-20, February.
    44. Diana Zigraiova & Tomas Havranek & Jiri Novak, 2020. "How puzzling is the forward premium puzzle? A meta-analysis," Working Papers 46, European Stability Mechanism.
    45. Mandon, Pierre & Woldemichael, Martha Tesfaye, 2023. "Has Chinese aid benefited recipient countries? Evidence from a meta-regression analysis," World Development, Elsevier, vol. 166(C).
    46. Umer, Hamza & Kurosaki, Takashi & Iwasaki, Ichiro, 2022. "Unearned Endowment and Charity Recipient Lead to Higher Donations: A Meta-Analysis of the Dictator Game Lab Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    47. Manger, Mark S. & Matthews, J. Scott, 2021. "Knowing when to splurge: Precautionary saving and Chinese-Canadians," Journal of Asian Economics, Elsevier, vol. 76(C).
    48. Josef Bajzik, 2023. "Does Shareholder Activism Have a Long-Lasting Impact on Company Value? A Meta-Analysis," Working Papers 2023/10, Czech National Bank.
    49. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    50. Atif Maqbool Khan & Jacek Kwiatkowski & Magdalena Osińska & Marcin Błażejowski, 2021. "Factors of Renewable Energy Consumption in the European Countries—The Bayesian Averaging Classical Estimates Approach," Energies, MDPI, vol. 14(22), pages 1-24, November.
    51. Havranek, Tomas & Gechert, Sebastian & Irsova, Zuzana & Kolcunova, Dominika, 2021. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," CEPR Discussion Papers 15687, C.E.P.R. Discussion Papers.
    52. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
    53. Christoforos Andreou & Elena Andreou & Stephanie Michael & George Syrichas, 2021. "The Shadow Economy in Cyprus: Evidence from the Electricity Consumption and Currency Demand Methods," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 15(1), pages 46-74, June.
    54. Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
    55. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021. "Weighted-average least squares (WALS): Confidence and prediction intervals," EIEF Working Papers Series 2108, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
    56. Grover,Arti Goswami & Lall,Somik V. & Timmis,Jonathan David, 2021. "Agglomeration Economies in Developing Countries : A Meta-Analysis," Policy Research Working Paper Series 9730, The World Bank.
    57. Josef Bajzik & Jan Janku & Simona Malovana & Klara Moravcova & Ngoc Anh Ngo, 2023. "Monetary Policy Has a Long-Lasting Impact on Credit: Evidence from 91 VAR Studies," Working Papers 2023/19, Czech National Bank.
    58. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
    59. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
    60. Josef Bajzik & Dominika Ehrenbergerova & Tomas Havranek, 2021. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," Working Papers IES 2021/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2021.
    61. Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2023. "Meta-Analysis of Social Science Research: A Practitioner´s Guide," Working Papers IES 2023/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2023.
    62. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MPRA Paper 102598, University Library of Munich, Germany.
    63. Aristidou, Chrystalleni & Lee, Kevin & Shields, Kalvinder, 2022. "Fundamentals, regimes and exchange rate forecasts: Insights from a meta exchange rate model," Journal of International Money and Finance, Elsevier, vol. 123(C).
    64. Gonzalo García‐Donato & Stefano Cabras & María Eugenia Castellanos, 2023. "Model uncertainty quantification in Cox regression," Biometrics, The International Biometric Society, vol. 79(3), pages 1726-1736, September.
    65. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    66. Marvin Schütt, 2024. "Wind Turbines and Property Values: A Meta-Regression Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 1-43, January.
    67. Michail Filippidis & George Filis & Georgios Magkonis & Panagiotis Tzouvanas, 2023. "Evaluating robust determinants of the WTI/Brent oil price differential: A dynamic model averaging analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 807-825, June.
    68. Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana, 2024. "Student Employment and Education: A Meta-Analysis," Economics of Education Review, Elsevier, vol. 100(C).
    69. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," EconStor Preprints 260586, ZBW - Leibniz Information Centre for Economics.
    70. Magdalena Florek & Jakub Gazda, 2021. "Traditional Food Products—Between Place Marketing, Economic Importance and Sustainable Development," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    71. Engsted, Tom & Schneider, Jesper W., 2023. "Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective," SocArXiv nztk8, Center for Open Science.
    72. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    73. Claudia Schmidt & Steven C. Deller & Stephan J. Goetz, 2024. "Women farmers and community well‐being under modeling uncertainty," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 275-299, March.
    74. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
    75. Mišák, Vojtěch, 2024. "Does heat cause homicides? A meta-analysis," International Review of Law and Economics, Elsevier, vol. 78(C).
    76. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020. "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series 2003, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
    77. Zhang, Xiaomeng & Zhang, Xinyu, 2023. "Optimal model averaging based on forward-validation," Journal of Econometrics, Elsevier, vol. 237(2).
    78. Yang Feng & Qingfeng Liu, 2020. "Nested Model Averaging on Solution Path for High-dimensional Linear Regression," Papers 2005.08057, arXiv.org.
    79. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted-average least squares (WALS) estimator," EIEF Working Papers Series 2203, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
    80. Hippolyte Balima & Anna Sokolova, 2021. "IMF programs and economic growth: A meta-analysis," Post-Print hal-03557677, HAL.
    81. Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
    82. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2023. "Does Shareholder Activism Create Value? A Meta-Analysis," EconStor Preprints 272232, ZBW - Leibniz Information Centre for Economics.
    83. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2023. "Optimal Local Model Averaging for Divergent-Dimensional Functional-Coefficient Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202309, University of Kansas, Department of Economics, revised Sep 2023.
    84. Jorge Miguel Bravo & Mercedes Ayuso & Robert Holzmann & Edward Palmer, 2021. "Intergenerational Actuarial Fairness when Longevity Increases: Amending the Retirement Age," CESifo Working Paper Series 9408, CESifo.
    85. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
    86. Jiawen Luo & Shengjie Fu & Oguzhan Cepni & Rangan Gupta, 2024. "Climate Risks and Forecastability of US Inflation: Evidence from Dynamic Quantile Model Averaging," Working Papers 202420, University of Pretoria, Department of Economics.
    87. Cheung, Stephen L. & Tymula, Agnieszka & Wang, Xueting, 2021. "Quasi-Hyperbolic Present Bias: A Meta-Analysis," IZA Discussion Papers 14625, Institute of Labor Economics (IZA).
    88. Luis Gabriel Carmona & Kai Whiting & Helmut Haberl & Tânia Sousa, 2021. "The use of steel in the United Kingdom's transport sector: A stock–flow–service nexus case study," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 125-143, February.
    89. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," EconStor Preprints 223060, ZBW - Leibniz Information Centre for Economics.
    90. Bakas, Dimitrios & Magkonis, Georgios & Oh, Eun Young, 2022. "What drives volatility in Bitcoin market?," Finance Research Letters, Elsevier, vol. 50(C).
    91. Mehmet Selman Colak & Yavuz Kilic & Huseyin Ozturk & Mehmet Emre Samci, 2024. "An Application to Model Uncertainty in Modelling Non-Performing Loans," CBT Research Notes in Economics 2404, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    92. Enrique Acebo & José-Ángel Miguel-Dávila & Mariano Nieto, 2021. "The Impact of University–Industry Relationships on Firms’ Performance: A Meta-Regression Analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 276-293.
    93. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    94. Iván Arribas & Emili Tortosa-Ausina & TingTing Zhu, 2021. "Optimal capital structure, model uncertainty, and European SMEs," Working Papers 2021/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    95. Farid Gasmi & Laura Recuero Virto & Denis Couvet, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems," Post-Print hal-04547896, HAL.
    96. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
    97. Yulia Marchenko, 2023. "Bayesian Model Averaging," UK Stata Conference 2023 05, Stata Users Group.
    98. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems," Economic Systems, Elsevier, vol. 47(4).
    99. Lucchetti, Riccardo & Pedini, Luca & Pigini, Claudia, 2022. "No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation," Economic Modelling, Elsevier, vol. 107(C).
    100. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    101. Ramírez-Hassan, Andrés & Carvajal-Rendón, Daniela A., 2021. "Specification uncertainty in modeling internet adoption: A developing city case analysis," Utilities Policy, Elsevier, vol. 70(C).
    102. Marcin Blazejowski & Jacek Kwiatkowski, 2023. "BACE: A gretl Package for Model Averaging in Limited Dependent Variable Models," gretl working papers 9, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    103. Nima Nonejad, 2021. "Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1387-1411, August.
    104. Askarov, Zohid & Doucouliagos, Hristos & Paldam, Martin & Stanley, T.D., 2022. "Rewarding good political behavior: US aid, democracy, and human rights," European Journal of Political Economy, Elsevier, vol. 71(C).
    105. Matthias Breuer & Harm H. Schütt, 2023. "Accounting for uncertainty: an application of Bayesian methods to accruals models," Review of Accounting Studies, Springer, vol. 28(2), pages 726-768, June.
    106. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    107. Djula Borozan & Luka Borozan, 2019. "Examining the Industrial Energy Consumption Determinants: A Panel Bayesian Model Averaging Approach," Energies, MDPI, vol. 13(1), pages 1-17, December.
    108. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    109. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2022. "Empirical analysis of the anthropogenic pressure on the mangrove blue carbon-economic growth relationship," TSE Working Papers 22-1307, Toulouse School of Economics (TSE).
    110. Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Inflation-output trade-off: Old measures, new determinants?," Journal of Macroeconomics, Elsevier, vol. 65(C).
    111. Martina Luskova, 2024. "The Effect of Face Masks on Covid Transmission: A Meta-Analysis," Working Papers IES 2024/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
    112. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    113. Nikolas Kuschnig & Gregor Zens & Jesús Crespo Cuaresma, 2021. "Hidden in Plain Sight: Influential Sets in Linear Models," CESifo Working Paper Series 8981, CESifo.
    114. Yulia Marchenko, 2023. "Bayesian model averaging," 2023 Stata Conference 17, Stata Users Group.
    115. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks - Implications for their ecosystems," TSE Working Papers 23-1399, Toulouse School of Economics (TSE).
    116. Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
    117. Michael Pfarrhofer & Philipp Piribauer, 2018. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models," Papers 1805.10822, arXiv.org.
    118. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
    119. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
    120. Dimiski, Anastasia, 2023. "How does pre-school attendance affect school performance? An application of Gini-BMA methodology on PISA 2018 dataset," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    121. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2021. "Online Appendix to "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias"," Online Appendices 20-200, Review of Economic Dynamics.
    122. Xuan Liu & Jianbao Chen, 2021. "Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances," Mathematics, MDPI, vol. 9(12), pages 1-20, June.
    123. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    124. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank.
    125. Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.
    126. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

  2. Vallejos, Catalina & Steel, Mark F. J., 2014. "Bayesian Survival Modelling of University Outcomes," MPRA Paper 57185, University Library of Munich, Germany.

    Cited by:

    1. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    2. Diego Opazo & Sebastián Moreno & Eduardo Álvarez-Miranda & Jordi Pereira, 2021. "Analysis of First-Year University Student Dropout through Machine Learning Models: A Comparison between Universities," Mathematics, MDPI, vol. 9(20), pages 1-27, October.
    3. Samuel I. Watson & Richard J. Lilford & Jianxia Sun & Julian Bion, 2021. "Estimating the effect of health service delivery interventions on patient length of stay: A Bayesian survival analysis approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1164-1186, November.
    4. Moritz Berger & Thomas Welchowski & Steffen Schmitz-Valckenberg & Matthias Schmid, 2019. "A classification tree approach for the modeling of competing risks in discrete time," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 965-990, December.
    5. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2018. "The Economics of University Dropouts and Delayed Graduation: A Survey," IZA Discussion Papers 11421, Institute of Labor Economics (IZA).
    6. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

  3. Rubio, Francisco Javier & Steel, Mark F. J., 2014. "Bayesian modelling of skewness and kurtosis with two-piece scale and shape transformations," MPRA Paper 57102, University Library of Munich, Germany.

    Cited by:

    1. Mark F. J. Steel & Francisco J. Rubio, 2015. "Discussion," International Statistical Review, International Statistical Institute, vol. 83(2), pages 218-222, August.

  4. Ley, Eduardo & Steel, Mark F.J., 2011. "Mixtures of g-priors for bayesian model averaging with economic applications," DES - Working Papers. Statistics and Econometrics. WS ws112116, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    2. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
    3. Minerva Mukhopadhyay & Tapas Samanta, 2017. "A mixture of g-priors for variable selection when the number of regressors grows with the sample size," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 377-404, June.
    4. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    5. Devereux, John & Dwyer, Gerald P., 2016. "What determines output losses after banking crises?," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 69-94.
    6. Havranek, Tomas & Horvath, Roman & Irsova, Zuzana & Rusnak, Marek, 2015. "Cross-country heterogeneity in intertemporal substitution," Journal of International Economics, Elsevier, vol. 96(1), pages 100-118.
    7. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    8. Xindong Xue & W. Robert Reed & Robbie C.M. van Aert, 2024. "Social Capital and Economic Growth: A Meta-Analysis," Working Papers in Economics 24/08, University of Canterbury, Department of Economics and Finance.
    9. Maryam Barzegar Marvasti & Somayeh Razzaghi, 2020. "Investigating the Determinants of Financial Development in OPEC Countries: An Application of Bayesian Model Averaging Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 342-352.
    10. Joseph, Andreas & Osbat, Chiara, 2016. "How you export matters: the disassortative structure of international trade," Working Paper Series 1958, European Central Bank.
    11. Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    12. Kaffine, Daniel T. & Davis, Graham A., 2017. "A multi-row deletion diagnostic for influential observations in small-sample regressions," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 133-145.
    13. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    14. Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
    15. Wang, Shengquan & Chen, Langnan, 2019. "Driving factors of equity bubbles," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 304-317.
    16. Roberto Leon-Gonzalez & Thanabalasingam Vinayagathasan, 2013. "Robust Determinants of Growth in Asian Developing Economies: A Bayesian Panel Data Model Averaging Approach," GRIPS Discussion Papers 13-12, National Graduate Institute for Policy Studies.
    17. Krzysztof Beck, 2020. "Determinants of Intra-Industry Trade: An Investigation with Bma for the European Union," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 5(6), pages 19-22, September.
    18. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    19. Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
    20. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    21. Crespo Cuaresma, Jesus & von Schweinitz, Gregor & Wendt, Katharina, 2019. "On the empirics of reserve requirements and economic growth," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 253-274.
    22. Feldkircher, Martin & Horvath, Roman & Rusnak, Marek, 2014. "Exchange market pressures during the financial crisis: A Bayesian model averaging evidence," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 21-41.
    23. Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
    24. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    25. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    26. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Determinants of Investment under Incentive Regulation: The Case of Norwegian Electricity Distribution Networks," Working Papers EPRG 1312, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    27. Andros Kourtellos & Christa Marr & Chih Ming Tan, 2014. "Robust Determinants of Intergenerational Mobility in the Land of Opportunity," University of Cyprus Working Papers in Economics 07-2014, University of Cyprus Department of Economics.
    28. Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2018. "Methodologies for the Assessment of Current Account Benchmarks," European Economy - Discussion Papers 086, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    29. Leamer, Edward E., 2016. "S-values and Bayesian weighted all-subsets regressions," European Economic Review, Elsevier, vol. 81(C), pages 15-31.
    30. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    31. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    32. Jordi Maas, 2014. "Forecasting inflation using time-varying Bayesian model averaging," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(3), pages 149-182, August.
    33. Dimitris Fouskakis & Ioannis Ntzoufras, 2020. "Bayesian Model Averaging Using Power-Expected-Posterior Priors," Econometrics, MDPI, vol. 8(2), pages 1-15, May.
    34. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    35. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    36. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    37. Gülden Poyraz & Ahmet İncekara, 2021. "On Determinants of Exchange Market Pressure in Turkey: The Role of Model Uncertainty," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 63(63), pages 199-211, June.
    38. Beck Krzysztof, 2017. "Bayesian Model Averaging and Jointness Measures: Theoretical Framework and Application to the Gravity Model of Trade," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 393-412, September.
    39. Konstantins Benkovskis & Benjamin Bluhm & Elena Bobeica & Chiara Osbat & Stefan Zeugner, 2017. "What drives export market shares? It depends! An empirical analysis using Bayesian Model Averaging," Working Papers 2017/02, Latvijas Banka.
    40. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    41. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.
    42. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    43. Bettina Grün & Paul Hofmarcher, 2021. "Identifying groups of determinants in Bayesian model averaging using Dirichlet process clustering," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 1018-1045, September.
    44. Jesús Crespo Cuaresma & Martin Feldkircher, 2012. "Drivers of Output Loss during the 2008–09 Crisis: A Focus on Emerging Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 46-64.
    45. Catalina A. Vallejos & Mark F. J. Steel, 2017. "Bayesian survival modelling of university outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 613-631, February.
    46. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    47. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    48. Krzysztof Beck & Michał Możdżeń, 2020. "Institutional Determinants of Budgetary Expenditures. A BMA-Based Re-Evaluation of Contemporary Theories for OECD Countries," Sustainability, MDPI, vol. 12(10), pages 1-31, May.

  5. Griffin, Jim & Steel, Mark F.J., 2008. "Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes," MPRA Paper 11071, University Library of Munich, Germany.

    Cited by:

    1. Zhongxian Men & Tony S. Wirjanto & Adam W. Kolkiewicz, 2021. "Multiscale Stochastic Volatility Model with Heavy Tails and Leverage Effects," JRFM, MDPI, vol. 14(5), pages 1-28, May.
    2. Emanuele Taufer & Nikolai Leonenko & Marco Bee, 2009. "Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models," DISA Working Papers 0907, Department of Computer and Management Sciences, University of Trento, Italy, revised 02 Dec 2009.
    3. Raknerud, Arvid & Skare, Øivind, 2012. "Indirect inference methods for stochastic volatility models based on non-Gaussian Ornstein–Uhlenbeck processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3260-3275.
    4. Szczepocki Piotr, 2020. "Application of iterated filtering to stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck process," Statistics in Transition New Series, Statistics Poland, vol. 21(2), pages 173-187, June.
    5. Behme, Anita & Chong, Carsten & Klüppelberg, Claudia, 2015. "Superposition of COGARCH processes," Stochastic Processes and their Applications, Elsevier, vol. 125(4), pages 1426-1469.
    6. Zhongxian Men & Tony S. Wirjanto & Adam W. Kolkiewicz, 2016. "A Multiscale Stochastic Conditional Duration Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 1-28, December.
    7. Anzarut, Michelle & Mena, Ramsés H., 2019. "A Harris process to model stochastic volatility," Econometrics and Statistics, Elsevier, vol. 10(C), pages 151-169.

  6. Ley, Eduardo & Steel, Mark F.J., 2008. "On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression," MPRA Paper 6773, University Library of Munich, Germany, revised 06 Jan 2008.

    Cited by:

    1. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    2. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    3. Jesús Crespo-Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "The Determinants of Economic Growth in European Regions," CESifo Working Paper Series 2519, CESifo.
    4. Roman Horváth, 2012. "Does Trust Promote Growth?," Working Papers 319, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    5. Moral-Benito, Enrique, 2009. "Determinants of Economic Growth: A Bayesian Panel Data Approach," Policy Research Working Paper Series 4830, The World Bank.
    6. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    7. Beata K. Bierut & Piot Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," KAE Working Papers 2019-043, Warsaw School of Economics, Collegium of Economic Analysis.
    8. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," EconomiX Working Papers 2018-51, University of Paris Nanterre, EconomiX.
    9. Ca' Zorzi, Michele & Dieppe, Alistair & Chudik, Alexander, 2009. "Current account benchmarks for central and eastern Europe: a desperate search?," Working Paper Series 995, European Central Bank.
    10. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," Working Papers hal-04141675, HAL.
    11. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    12. Ley, Eduardo & Steel, Mark F. J., 2006. "Jointness in Bayesian variable selection with applications to growth regression," Policy Research Working Paper Series 4063, The World Bank.
    13. Jesus Crespo Cuaresma, 2010. "Natural Disasters and Human Capital Accumulation," The World Bank Economic Review, World Bank, vol. 24(2), pages 280-302, July.
    14. Huigang Chen & Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides, 2011. "Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model," IMF Working Papers 2011/230, International Monetary Fund.
    15. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    16. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
    17. Theo Eicher & Chris Papageogiou & Adrian E Raftery, 2007. "Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants," Working Papers UWEC-2007-25-P, University of Washington, Department of Economics.
    18. João Sousa & Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Eveidence from the euro area, the U.K and the U.S," NIPE Working Papers 21/2011, NIPE - Universidade do Minho.
    19. Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides & Huigang Chen, 2009. "Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods," IMF Working Papers 2009/074, International Monetary Fund.
    20. Prüfer, P. & Tondl, G., 2008. "The FDI-Growth Nexus in Latin America : The Role of Source Countries and Local Conditions," Other publications TiSEM 73b28850-1597-4bcb-a76c-1, Tilburg University, School of Economics and Management.
    21. Roman Horváth & Kateøina Šmídková & Jan Zápal & Marek Rusnák, 2012. "Dissent Voting Behavior of Central Bankers: What Do We Really Know?," Working Papers IES 2012/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    22. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    23. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    24. Jesús Crespo Cuaresma & Martin Feldkircher, 2013. "Spatial Filtering, Model Uncertainty And The Speed Of Income Convergence In Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 720-741, June.
    25. Jesús Crespo Cuaresma & Tomáš Slacík, 2008. "Determinants of Currency Crises: A Conflict of Generations?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 126-141.
    26. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    27. Antonakakis, Nikolaos & Tondl, Gabriele, 2012. "Do determinants of FDI to developing countries differ among OECD investors? Insights from Bayesian model averaging," Discussion Papers 1/12, Europa-Kolleg Hamburg, Institute for European Integration.
    28. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    29. Shahram Amini & Christopher F. Parmeter, 2011. "Bayesian Model Averaging in R," Working Papers 2011-9, University of Miami, Department of Economics.
    30. Shahram Amini & Christopher F. Parmeter, 2011. "A Review of the `BMS' Package for R," Working Papers 2011-8, University of Miami, Department of Economics.
    31. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, vol. 8(2), pages 1-29, May.
    32. Andreas Sachs, 2012. "What really drives unemployment? A bayesian approach to determine the impact of institutions on the unemployment rate," Economics Bulletin, AccessEcon, vol. 32(1), pages 1008-1019.
    33. Ignacio Hernando & Irene Pablos & Daniel Santabárbara & Javier Vallés, 2018. "Private saving. New cross-country evidencebased on bayesian techniques," Working Papers 1802, Banco de España.
    34. Anastasios Petropoulos & Vasilis Siakoulis & Dionysios Mylonas & Aristotelis Klamargias, 2018. "A combined statistical framework for forecasting default rates of Greek Financial Institutions' credit portfolios," Working Papers 243, Bank of Greece.
    35. Bussière, Matthieu & Ca' Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2010. "Methodological advances in the assessment of equilibrium exchange rates," Working Paper Series 1151, European Central Bank.

  7. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.

    Cited by:

    1. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    2. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.
    3. Villa, Cristiano & Rubio, Francisco J., 2018. "Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 197-219.

  8. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.

    Cited by:

    1. Sylvia Frühwirth-Schnatter & Andrea Weber & Rudolf Winter-Ebmer, 2010. "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering," Economics working papers 2010-11, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.

  9. Ley, Eduardo & Steel, Mark F. J., 2006. "Jointness in Bayesian variable selection with applications to growth regression," Policy Research Working Paper Series 4063, The World Bank.

    Cited by:

    1. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
    2. Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016. "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series 7645, The World Bank.
    3. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    4. Piotr Wójcik & Bartłomiej Wieczorek, 2020. "We have just explained real convergence factors using machine learning," Working Papers 2020-38, Faculty of Economic Sciences, University of Warsaw.
    5. Joseph, Andreas & Osbat, Chiara, 2016. "How you export matters: the disassortative structure of international trade," Working Paper Series 1958, European Central Bank.
    6. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    7. Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    8. Cristobal Young, 2019. "The Difference Between Causal Analysis and Predictive Models: Response to “Comment on Young and Holsteen (2017)â€," Sociological Methods & Research, , vol. 48(2), pages 431-447, May.
    9. Eduardo Ley & Mark F.J. Steel, 2009. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression This article was published online on 30 March 2009. An error was subsequently identified. This not," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 651-674.
    10. Jan R. Magnus & Wendun Wang, 2014. "Concept-Based Bayesian Model Averaging and Growth Empirics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(6), pages 874-897, December.
    11. Jesús Rodríguez López & Diego Martínez López & Diego Romero de Ávila Torrijos, 2006. "Persistence in inequalities across the Spanish regions," Working Papers 06.07, Universidad Pablo de Olavide, Department of Economics.
    12. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
    13. Andrzej Cieślik & Oleg Gurshev, 2021. "Factor Endowments, Economic Integration, Round-Tripping, and Inward FDI: Evidence from the Baltic Economies," JRFM, MDPI, vol. 14(8), pages 1-26, July.
    14. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    15. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    16. Melián-González, Arturo & Moreno-Gil, Sergio & Araña, Jorge E., 2011. "Gay tourism in a sun and beach destination," Tourism Management, Elsevier, vol. 32(5), pages 1027-1037.
    17. Luca Onorante & Adrian E. Raftery, 2014. "Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window," Papers 1410.7799, arXiv.org.
    18. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    19. Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
    20. Crespo Cuaresma, Jesus & von Schweinitz, Gregor & Wendt, Katharina, 2019. "On the empirics of reserve requirements and economic growth," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 253-274.
    21. Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
    22. Theo Eicher & Chris Papageogiou & Adrian E Raftery, 2007. "Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants," Working Papers UWEC-2007-25-P, University of Washington, Department of Economics.
    23. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    24. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    25. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    26. Aedın Doris & Donal O’Neill & Olive Sweetman, 2011. "GMM estimation of the covariance structure of longitudinal data on earnings," Stata Journal, StataCorp LP, vol. 11(3), pages 439-459, September.
    27. Jesus Crespo Cuaresma & Gernot Doppelhofer & Florian Huber & Philipp Piribauer, 2015. "Growing Together? Projecting Income Growth in Europe at the Regional Level," Department of Economics Working Papers wuwp198, Vienna University of Economics and Business, Department of Economics.
    28. Blazejowski, Marcin & Kwiatkowski, Jacek, 2020. "Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl," MPRA Paper 98387, University Library of Munich, Germany.
    29. Giuseppe De Luca & Jan R. Magnus, 2011. "Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues," Stata Journal, StataCorp LP, vol. 11(4), pages 518-544, December.
    30. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    31. Duval, Romain & Furceri, Davide & Miethe, Jakob, 2020. "Robust political economy correlates of major product and labor market reforms in advanced economies: Evidence from BAMLE for logit models," Munich Reprints in Economics 84714, University of Munich, Department of Economics.
    32. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
    33. Eicher, Theo S. & Papageorgiou, Chris & Roehn, Oliver, 2007. "Unraveling the fortunes of the fortunate: An Iterative Bayesian Model Averaging (IBMA) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 494-514, September.
    34. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    35. Chupryhin, Radzivon, 2021. "Determinants of Foreign Direct Investment in Europe: Bayesian Model Averaging in the Presence of Weak Exogeneity," MPRA Paper 107197, University Library of Munich, Germany.
    36. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    37. Błażejowski, Marcin & Kufel, Paweł & Kufel, Tadeusz & Kwiatkowski, Jacek & Osińska, Magdalena, 2018. "Model selection for modeling the demand for narrow money in transitional economies," MPRA Paper 90458, University Library of Munich, Germany.
    38. Marcin Blazejowski & Jacek Kwiatkowski, 2018. "Bayesian Averaging of Classical Estimates (BACE) for gretl," gretl working papers 6, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Silvia Figini & Paolo Giudici, 2013. "Credit risk predictions with Bayesian model averaging," DEM Working Papers Series 034, University of Pavia, Department of Economics and Management.
    40. Beck Krzysztof, 2017. "Bayesian Model Averaging and Jointness Measures: Theoretical Framework and Application to the Gravity Model of Trade," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 393-412, September.
    41. Theo S. Eicher & Alex Lenkoski & Adrian Raftery, 2009. "Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants," Working Papers UWEC-2009-19-FC, University of Washington, Department of Economics.
    42. Konstantins Benkovskis & Benjamin Bluhm & Elena Bobeica & Chiara Osbat & Stefan Zeugner, 2017. "What drives export market shares? It depends! An empirical analysis using Bayesian Model Averaging," Working Papers 2017/02, Latvijas Banka.
    43. Jesus regstdpo-Cuaresma & Neil Foster & Robert Stehrer, 2011. "Determinants of Regional Economic Growth by Quantile," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 809-826.
    44. Shahram Amini & Christopher F. Parmeter, 2020. "A Review of the ‘BMS’ Package for R with Focus on Jointness," Econometrics, MDPI, vol. 8(1), pages 1-21, February.
    45. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    46. Jaroslava Hlouskova & Martin Wagner, 2013. "The Determinants of Long-Run Economic Growth: A Conceptually and Computationally Simple Approach," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 445-492, December.
    47. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    48. Bettina Grün & Paul Hofmarcher, 2021. "Identifying groups of determinants in Bayesian model averaging using Dirichlet process clustering," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 1018-1045, September.
    49. Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.
    50. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    51. Krzysztof Beck & Michał Możdżeń, 2020. "Institutional Determinants of Budgetary Expenditures. A BMA-Based Re-Evaluation of Contemporary Theories for OECD Countries," Sustainability, MDPI, vol. 12(10), pages 1-31, May.

  10. José T.A.S. Ferreira & Miguel A Juárez & MArk F.J. Steel, 2005. "Directional Log-spline Distributions," Econometrics 0511001, University Library of Munich, Germany.

    Cited by:

    1. Carnicero, José Antonio, 2008. "A semi-parametric model for circular data based on mixtures of beta distributions," DES - Working Papers. Statistics and Econometrics. WS ws081305, Universidad Carlos III de Madrid. Departamento de Estadística.

  11. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.

    Cited by:

    1. Dempsey-Brench, Zara & Volta, Nicola, 2018. "A cost-efficiency analysis of European air navigation service providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 11-23.
    2. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    3. Voltes-Dorta, Augusto & Lei, Zheng, 2013. "The impact of airline differentiation on marginal cost pricing at UK airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 72-88.
    4. Philippe K. Widmer, 2011. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," ECON - Working Papers 053, Department of Economics - University of Zurich.
    5. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    6. Gholamreza Hajargasht & Tim Coelli & D. S. Prasada Rao, 2006. "A Dual Measure of Economies of Scope," CEPA Working Papers Series WP032006, School of Economics, University of Queensland, Australia.
    7. Maria Olivares & Heike Wetzel, 2014. "Editor's Choice Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," CESifo Economic Studies, CESifo Group, vol. 60(4), pages 653-680.
    8. Scotti, Davide & Volta, Nicola, 2017. "Profitability change in the global airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 1-12.
    9. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    10. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
    11. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    12. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    13. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    14. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    15. Dalheimer, Bernhard & Parikoglou, Iordanis & Brambach, Fabian & Yanita, Mirawati & Kreft, Holger & Brümmer, Bernhard, 2024. "On the palm oil-biodiversity trade-off: Environmental performance of smallholder producers," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    16. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    17. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    18. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    19. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    20. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    21. Wu, Ji & Guo, Mengmeng & Chen, Minghua & Jeon, Bang Nam, 2019. "Market power and risk-taking of banks: Some semiparametric evidence from emerging economies," Emerging Markets Review, Elsevier, vol. 41(C).
    22. Deng, Yaguo, 2016. "Efficiency evaluation of Spanish hotel chains," DES - Working Papers. Statistics and Econometrics. WS 23897, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Working Paper Series in Economics 223, University of Lüneburg, Institute of Economics.
    24. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
    25. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    26. Yong Li & Sushanta K. Mallick & Nianling Wang & Jun Yu & Tao Zeng, 2024. "Deviance Information Criterion for Model Selection:Theoretical Justification and Applications," Working Papers 202415, University of Macau, Faculty of Business Administration.
    27. Habtamu Kiros & Alebachew Abebe, 2020. "Statistical Modeling of Women Employment Status at Harari Region Urban Districts: Bayesian Approach," Annals of Data Science, Springer, vol. 7(1), pages 63-76, March.
    28. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    29. Martín, Juan Carlos & Rodríguez-Déniz, Héctor & Voltes-Dorta, Augusto, 2013. "Determinants of airport cost flexibility in a context of economic recession," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 70-84.
    30. Sheng-Kai Chang & Yi-Yi Chen & Hung-Jen Wang, 2012. "A Bayesian estimator for stochastic frontier models with errors in variables," Journal of Productivity Analysis, Springer, vol. 38(1), pages 1-9, August.
    31. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    32. Shirong Zhao & Jeremy Losak, 2024. "Two-tiered stochastic frontier models: a Bayesian perspective," Journal of Productivity Analysis, Springer, vol. 61(2), pages 85-106, April.
    33. Philippe K. Widmer & Peter Zweifel & Mehdi Farsi, 2011. "Accounting for heterogeneity in the measurement of hospital performance," ECON - Working Papers 052, Department of Economics - University of Zurich.
    34. Peter Zweifel & Philippe K. Widmer, 2023. "Accounting for heterogeneity in the measurement of hospital performance," Applied Economics, Taylor & Francis Journals, vol. 55(57), pages 6701-6716, December.
    35. Owusu, Rebecca & Kwadzo, Moses & Ghartey, William, 2022. "Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
    36. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    37. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    38. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    39. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.
    40. Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
    41. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    42. Jose L. Gallizo & Jordi Moreno & Ioana Iuliana Pop (Grigorescu), 2011. "Banking Efficiency And European Integration. Implications Of The Banking Reform In Romania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(13), pages 1-25.
    43. Iordanis Parikoglou & Grigorios Emvalomatis & Doris Läpple & Fiona Thorne & Michael Wallace, 2024. "The contribution of innovation to farm-level productivity," Journal of Productivity Analysis, Springer, vol. 62(2), pages 239-255, October.
    44. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
    45. Ahmad, Shabbir & Shankar, Sriram & Steen, John & Verreynne, Martie-Louise & Burki, Abid Aman, 2021. "Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector," Land Use Policy, Elsevier, vol. 101(C).
    46. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    47. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    48. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    49. Voltes-Dorta, Augusto & Pagliari, Romano, 2012. "The impact of recession on airports' cost efficiency," Transport Policy, Elsevier, vol. 24(C), pages 211-222.
    50. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    51. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    52. Laura Di Giorgio & Abraham D Flaxman & Mark W Moses & Nancy Fullman & Michael Hanlon & Ruben O Conner & Alexandra Wollum & Christopher J L Murray, 2016. "Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
    53. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    54. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    55. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    56. Hou, Xiaohui & Wang, Qing & Li, Cheng, 2015. "Role of off-balance sheet operations on bank scale economies: Evidence from China's banking sector," Emerging Markets Review, Elsevier, vol. 22(C), pages 140-153.
    57. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    58. Ha Thu Vu & Sean Turnell, 2010. "Cost Efficiency of the Banking Sector in Vietnam: A Bayesian Stochastic Frontier Approach with Regularity Constraints," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 115-139, June.
    59. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    60. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    61. Juan Martín & Concepción Román & Augusto Voltes-Dorta, 2009. "A stochastic frontier analysis to estimate the relative efficiency of Spanish airports," Journal of Productivity Analysis, Springer, vol. 31(3), pages 163-176, June.
    62. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    63. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
    64. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    65. William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
    66. Mohottala G. Kularatne & Namal N. Balasooriya & Sean Pascoe & Clevo Wilson, 2017. "Is there a locational productivity advantage for rice cultivation? Results from a technical efficiency analysis of water use in Sri Lankan village irrigation systems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 789-806, October.
    67. C. P. Barros & Dércio Mandlaze & Scott Tainsky, 2016. "The efficiency of Mozambique soccer league: the Moçambola," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2965-2971, July.
    68. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    69. Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    70. Ramsey, Austin F. & Wang, Huaiyu, 2018. "Non-Farm Income and Technical Efficiency in the Uplands of Yunnan, China: A Bayesian Non-Crossing Quantile Regression Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274375, Agricultural and Applied Economics Association.
    71. Antonio Ramos Andrade & Julian Stow, 2017. "Assessing the efficiency of maintenance operators: A case study of turning railway wheelsets on an under-floor wheel lathe," Journal of Risk and Reliability, , vol. 231(2), pages 155-163, April.
    72. Marta Arbelo-Pérez & Yaiza Armas-Cruz & Antonio Arbelo, 2022. "Environmental strategy and firm performance: A new methodological proposal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 283-292.
    73. Assaf, A. George & Tsionas, Mike & Oh, Haemoon, 2018. "The time has come: Toward Bayesian SEM estimation in tourism research," Tourism Management, Elsevier, vol. 64(C), pages 98-109.
    74. Tonini, Axel & Matus, Silvia Saravia & Gomez y Paloma, Sergio, 2011. "A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116088, European Association of Agricultural Economists.
    75. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
    76. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    77. Luo, Changqing & Ouyang, Zisheng, 2014. "Estimating IPO pricing efficiency by Bayesian stochastic frontier analysis: The ChiNext market case," Economic Modelling, Elsevier, vol. 40(C), pages 152-157.
    78. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    79. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    80. Wimmer, Stefan G. & Sauer, Johannes, 2017. "The Economic Benefits of Farm Diversification: An Empirical Analysis of Economies of Scope Using the Dual Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258465, Agricultural and Applied Economics Association.
    81. Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
    82. Martín, Juan Carlos & Voltes-Dorta, Augusto, 2011. "The econometric estimation of airports' cost function," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 112-127, January.
    83. Md. Rezaul Karim & Sefat-E-Barket, 2024. "Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh," Annals of Data Science, Springer, vol. 11(5), pages 1581-1607, October.

  12. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.

    Cited by:

    1. Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
    2. Maximiano Pinheiro & Paulo Esteves, 2012. "On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information," Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
    3. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    4. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    5. Arne Henningsen & Matěj Bělín & Géraldine Henningsen, 2017. "New insights into the stochastic ray production frontier," IFRO Working Paper 2017/01, University of Copenhagen, Department of Food and Resource Economics.
    6. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    7. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    8. M. Jones, 2004. "Families of distributions arising from distributions of order statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(1), pages 1-43, June.
    9. Ferreira, Jose T.A.S. & Steel, Mark F.J., 2006. "A Constructive Representation of Univariate Skewed Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 823-829, June.
    10. Panagiotelis, Anastasios & Smith, Michael, 2010. "Bayesian skew selection for multivariate models," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1824-1839, July.
    11. De la Cruz, Rolando, 2008. "Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 436-449, December.
    12. Christophe Ley, 2014. "Flexible Modelling in Statistics: Past, present and Future," Working Papers ECARES ECARES 2014-42, ULB -- Universite Libre de Bruxelles.
    13. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. J. T. A. S. Ferreira & M. F. J. Steel, 2004. "On Describing Multivariate Skewness: A Directional Approach," Econometrics 0409010, University Library of Munich, Germany.
    16. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    17. Maximiano Pinheiro, 2012. "Marginal Distributions of Random Vectors Generated by Affine Transformations of Independent Two-Piece Normal Variables," Journal of Probability and Statistics, Hindawi, vol. 2012, pages 1-10, April.
    18. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
    19. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Wraith, Darren & Forbes, Florence, 2015. "Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 61-73.

  13. J. T. A. S. Ferreira & M. F. J. Steel, 2004. "On Describing Multivariate Skewness: A Directional Approach," Econometrics 0409010, University Library of Munich, Germany.

    Cited by:

    1. José T. A. S. Ferreira & Mark F. J. Steel, 2005. "Modelling directional dispersion through hyperspherical log‐splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(4), pages 599-616, September.
    2. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.

  14. J.T.A.S. Ferreira & M.F.J. Steel, 2004. "Modelling Directional Dispersion Through Hyperspherical Log- Splines," Econometrics 0410006, University Library of Munich, Germany.

    Cited by:

    1. José T.A.S. Ferreira & Miguel A Juárez & MArk F.J. Steel, 2005. "Directional Log-spline Distributions," Econometrics 0511001, University Library of Munich, Germany.
    2. Kamiya, Hidehiko & Takemura, Akimichi, 2008. "Hierarchical orbital decompositions and extended decomposable distributions," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 339-357, March.

  15. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "A Constructive Representation of Univariate Skewed Distributions," Econometrics 0403002, University Library of Munich, Germany.

    Cited by:

    1. Clécio da Silva Ferreira & Gilberto A. Paula & Gustavo C. Lana, 2022. "Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors," Computational Statistics, Springer, vol. 37(1), pages 445-468, March.
    2. Lyu, Yongjian & Wang, Peng & Wei, Yu & Ke, Rui, 2017. "Forecasting the VaR of crude oil market: Do alternative distributions help?," Energy Economics, Elsevier, vol. 66(C), pages 523-534.
    3. Klein, Ingo & Doll, Monika, 2018. "Tests on asymmetry for ordered categorical variables," FAU Discussion Papers in Economics 03/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    4. Rubio, F.J. & Steel, M.F.J., 2011. "Inference for grouped data with a truncated skew-Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3218-3231, December.
    5. Mameli, Valentina, 2015. "The Kumaraswamy skew-normal distribution," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 75-81.
    6. Fischer, Matthias J. & Vaughan, David, 2004. "The Beta-Hyperbolic Secant (BHS) Distribution," Discussion Papers 64/2004, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    7. Rubio, F.J., 2015. "On the propriety of the posterior of hierarchical linear mixed models with flexible random effects distributions," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 154-161.
    8. Fischer, Matthias J., 2004. "The L-distribution and skew generalizations," Discussion Papers 63/2004, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    9. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    10. Pilar A. Rivera & Diego I. Gallardo & Osvaldo Venegas & Marcelo Bourguignon & Héctor W. Gómez, 2021. "An Extension of the Truncated-Exponential Skew- Normal Distribution," Mathematics, MDPI, vol. 9(16), pages 1-11, August.
    11. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    12. A. Abtahi & J. Behboodian & M. Sharafi, 2012. "A general class of univariate skew distributions considering Stein’s lemma and infinite divisibility," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(2), pages 193-206, February.
    13. Matthias Wagener & Andriette Bekker & Mohammad Arashi, 2021. "Mastering the Body and Tail Shape of a Distribution," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
    14. Antonello Maruotti & Pierfrancesco Alaimo Di Loro, 2023. "CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model," Environmetrics, John Wiley & Sons, Ltd., vol. 34(5), August.
    15. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    16. A. Abtahi & M. Towhidi & J. Behboodian, 2011. "An appropriate empirical version of skew-normal density," Statistical Papers, Springer, vol. 52(2), pages 469-489, May.
    17. Klein, Ingo & Fischer, Matthias J., 2003. "Skewness by splitting the scale parameter," Discussion Papers 55/2003, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    18. Fischer, Matthias J., 2006. "The L-distribution and skew generalizations," Discussion Papers 75/2006, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    19. Michael C Thrun & Tino Gehlert & Alfred Ultsch, 2020. "Analyzing the fine structure of distributions," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    20. Stona, Filipe & Morais, Igor A.C. & Triches, Divanildo, 2018. "Economic dynamics during periods of financial stress: Evidences from Brazil," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 130-144.
    21. De la Cruz, Rolando, 2008. "Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 436-449, December.
    22. Delicado, P. & Goria, M.N., 2008. "A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1661-1673, January.
    23. Francisco J. Rubio & Yili Hong, 2016. "Survival and lifetime data analysis with a flexible class of distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1794-1813, August.
    24. Félix Belzunce & Julio Mulero & José María Ruíz & Alfonso Suárez-Llorens, 2015. "On relative skewness for multivariate distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(4), pages 813-834, December.
    25. Christophe Ley, 2014. "Flexible Modelling in Statistics: Past, present and Future," Working Papers ECARES ECARES 2014-42, ULB -- Universite Libre de Bruxelles.
    26. H. Barakat, 2015. "A new method for adding two parameters to a family of distributions with application to the normal and exponential families," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 359-372, September.
    27. Sanku Dey & Vikas Kumar Sharma & Mhamed Mesfioui, 2017. "A New Extension of Weibull Distribution with Application to Lifetime Data," Annals of Data Science, Springer, vol. 4(1), pages 31-61, March.
    28. Rubio, F.J. & Steel, M.F.J., 2012. "On the Marshall–Olkin transformation as a skewing mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2251-2257.
    29. Alzaatreh, Ayman & Famoye, Felix & Lee, Carl, 2014. "The gamma-normal distribution: Properties and applications," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 67-80.
    30. Ivanović, Blagoje & Milošević, Bojana & Obradović, Marko, 2020. "Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    31. Klein, Ingo, 2011. "Van Zwet ordering and the Ferreira-Steel family of skewed distributions," FAU Discussion Papers in Economics 13/2011, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    32. Ayman Alzaatreh & Carl Lee & Felix Famoye, 2013. "A new method for generating families of continuous distributions," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 63-79, June.
    33. Sanku Dey & Mazen Nassar & Devendra Kumar, 2017. "$$\alpha $$ α Logarithmic Transformed Family of Distributions with Application," Annals of Data Science, Springer, vol. 4(4), pages 457-482, December.
    34. Gurjeet Dhesi & Bilal Shakeel & Marcel Ausloos, 2021. "Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach," Annals of Operations Research, Springer, vol. 299(1), pages 1397-1410, April.
    35. Devendra Kumar & Manoj Kumar, 2019. "A New Generalization of the Extended Exponential Distribution with an Application," Annals of Data Science, Springer, vol. 6(3), pages 441-462, September.
    36. Ley, Christophe & Paindaveine, Davy, 2010. "Multivariate skewing mechanisms: A unified perspective based on the transformation approach," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1685-1694, December.
    37. Hasanov, Akram Shavkatovich & Poon, Wai Ching & Al-Freedi, Ajab & Heng, Zin Yau, 2018. "Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks: A comparison of alternative distribution functions," Energy Economics, Elsevier, vol. 70(C), pages 307-333.
    38. Vijverberg, Wim P. & Hasebe, Takuya, 2015. "GTL Regression: A Linear Model with Skewed and Thick-Tailed Disturbances," IZA Discussion Papers 8898, Institute of Labor Economics (IZA).
    39. Christopher Partlett & Prakash Patil, 2017. "Measuring asymmetry and testing symmetry," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(2), pages 429-460, April.

  16. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions," Econometrics 0403001, University Library of Munich, Germany.

    Cited by:

    1. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    2. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    3. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    4. M. Jones, 2004. "Families of distributions arising from distributions of order statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(1), pages 1-43, June.
    5. José T. A. S. Ferreira & Mark F. J. Steel, 2005. "Modelling directional dispersion through hyperspherical log‐splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(4), pages 599-616, September.
    6. J. T. A. S. Ferreira & M. F. J. Steel, 2004. "On Describing Multivariate Skewness: A Directional Approach," Econometrics 0409010, University Library of Munich, Germany.
    7. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    8. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. Maximiano Pinheiro, 2012. "Marginal Distributions of Random Vectors Generated by Affine Transformations of Independent Two-Piece Normal Variables," Journal of Probability and Statistics, Hindawi, vol. 2012, pages 1-10, April.
    10. Balaev , Alexey, 2011. "Multivariate skewed t-distribution with degrees of freedom vector and its application to financial modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 79-97.

  17. Carmen Fernandez & Gary Koop & Mark F J Steel, 2003. "Alternative efficiency measures for multiple-output production," Edinburgh School of Economics Discussion Paper Series 65, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    2. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October.
    3. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    4. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    5. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    6. Dalheimer, Bernhard & Parikoglou, Iordanis & Brambach, Fabian & Yanita, Mirawati & Kreft, Holger & Brümmer, Bernhard, 2024. "On the palm oil-biodiversity trade-off: Environmental performance of smallholder producers," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    7. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    8. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    9. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    10. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    11. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    12. Emir Malikov & Subal C. Kumbhakar & Efthymios G. Tsionas, 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," Econometrics, MDPI, vol. 3(2), pages 1-23, June.
    13. Dakpo, K Hervé, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers 245191, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    14. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
    15. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    16. K Hervé Dakpo, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers SMART 16-06, INRAE UMR SMART.
    17. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    18. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    19. Luis Antonio Galiano Bastarrica & Eva M. Buitrago Esquinas & María Ángeles Caraballo Pou & Rocío Yñiguez Ovando, 2023. "Environmental adjustment of the EU27 GDP: an econometric quantitative model," Environment Systems and Decisions, Springer, vol. 43(1), pages 115-128, March.
    20. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    21. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    22. Subal C. Kumbhakar & Emir Malikov, 2018. "Good modeling of bad outputs: editors’ introduction," Empirical Economics, Springer, vol. 54(1), pages 1-6, February.
    23. Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2013. "How efficiently do U.S. cities manage roadway congestion?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 407-428, December.
    24. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    25. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    26. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2016. "The good, the bad and the technology: Endogeneity in environmental production models," Journal of Econometrics, Elsevier, vol. 190(2), pages 315-327.
    27. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
    28. Atkinson, Scott E. & Tsionas, Mike G., 2016. "Directional distance functions: Optimal endogenous directions," Journal of Econometrics, Elsevier, vol. 190(2), pages 301-314.
    29. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    30. Neophyta Empora & Theofanis Mamuneas, 2011. "The Effect of Emissions on U.S. State Total Factor Productivity Growth," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 149-172, October.
    31. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2018. "Greenhouse Emissions and Productivity Growth," JRFM, MDPI, vol. 11(3), pages 1-14, July.
    32. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    33. Neophyta Empora, 2017. "Air pollution spillovers and U.S. state productivity growth," University of Cyprus Working Papers in Economics 06-2017, University of Cyprus Department of Economics.
    34. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    35. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.
    36. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.

  18. Jim E. Griffin & Mark F.J. Steel, 2002. "Semiparametric Bayesian Inference for Stochastic Frontier Models," Econometrics 0209001, University Library of Munich, Germany, revised 18 Sep 2002.

    Cited by:

    1. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    2. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    3. Tong Li & Xiaoyong Zheng, 2006. "Entry and competition effects in first-price auctions: theory and evidence from procurement auctions," CeMMAP working papers CWP13/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.
    5. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
    6. Igor Prünster & Matteo Ruggiero, 2011. "A Bayesian nonparametric approach to modeling market share dynamics," Carlo Alberto Notebooks 217, Collegio Carlo Alberto.
    7. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    8. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    9. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    10. Sun, Shengmin & Lopez, Rigoberto A. & Xiaoou Liu, 2016. "Property Rights, Labor Mobility and Collectivization: The Impact of Institutional Changes on China’s Agriculture in 1950-1978," Working Papers 41, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    11. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    12. J. E. Griffin & M. Kolossiatis & M. F. J. Steel, 2013. "Comparing distributions by using dependent normalized random-measure mixtures," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 499-529, June.
    13. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    14. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
    15. Mark J. Jensen & John M. Maheu, 2014. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," Working Paper series 31_14, Rimini Centre for Economic Analysis.
    16. Kamel Helali & Maha Kalai, 2015. "Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 105-130, June.
    17. Ricardo S. Ehlers, 2011. "Comparison of Bayesian models for production efficiency," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2433-2443, January.
    18. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    19. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    20. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    21. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    22. Agee, Mark D. & Atkinson, Scott E. & Crocker, Thomas D. & Williams, Jonathan W., 2014. "Non-separable pollution control: Implications for a CO2 emissions cap and trade system," Resource and Energy Economics, Elsevier, vol. 36(1), pages 64-82.
    23. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
    24. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    25. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
    26. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    27. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    28. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    29. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
    31. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    32. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    33. Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
    34. Rodríguez, Abel, 2013. "On the Jeffreys prior for the multivariate Ewens distribution," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1539-1546.
    35. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    36. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    37. Tong Li & Xiaoyong Zheng, 2008. "Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 699-728.
    38. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    39. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    40. Zheng, Xiaoyong, 2008. "Semiparametric Bayesian estimation of mixed count regression models," Economics Letters, Elsevier, vol. 100(3), pages 435-438, September.
    41. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    42. Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.
    43. Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
    44. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    45. Abhijoy Saha & Sebastian Kurtek, 2019. "Geometric Sensitivity Measures for Bayesian Nonparametric Density Estimation Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 104-143, February.

  19. James E. Griffin & Mark F.J. Steel, 2002. "Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility," Econometrics 0201002, University Library of Munich, Germany, revised 04 Apr 2003.

    Cited by:

    1. Shibin Zhang & Xinsheng Zhang, 2008. "Exact Simulation of IG-OU Processes," Methodology and Computing in Applied Probability, Springer, vol. 10(3), pages 337-355, September.
    2. Emanuele Taufer & Nikolai Leonenko & Marco Bee, 2009. "Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models," DISA Working Papers 0907, Department of Computer and Management Sciences, University of Trento, Italy, revised 02 Dec 2009.
    3. Almut E. D. Veraart & Luitgard A. M. Veraart, 2009. "Stochastic volatility and stochastic leverage," CREATES Research Papers 2009-20, Department of Economics and Business Economics, Aarhus University.
    4. Brix, Anne Floor & Lunde, Asger & Wei, Wei, 2018. "A generalized Schwartz model for energy spot prices — Estimation using a particle MCMC method," Energy Economics, Elsevier, vol. 72(C), pages 560-582.
    5. Asger Lunde & Anne Floor Brix & Wei Wei, 2015. "A Generalized Schwartz Model for Energy Spot Prices - Estimation using a Particle MCMC Method," CREATES Research Papers 2015-46, Department of Economics and Business Economics, Aarhus University.
    6. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    7. Fasen, Vicky, 2013. "Statistical estimation of multivariate Ornstein–Uhlenbeck processes and applications to co-integration," Journal of Econometrics, Elsevier, vol. 172(2), pages 325-337.
    8. Griffin, Jim & Steel, Mark F.J., 2008. "Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes," MPRA Paper 11071, University Library of Munich, Germany.
    9. Raknerud, Arvid & Skare, Øivind, 2012. "Indirect inference methods for stochastic volatility models based on non-Gaussian Ornstein–Uhlenbeck processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3260-3275.
    10. Szczepocki Piotr, 2020. "Application of iterated filtering to stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck process," Statistics in Transition New Series, Statistics Poland, vol. 21(2), pages 173-187, June.
    11. Kevin W. Lu, 2022. "Calibration for multivariate Lévy-driven Ornstein-Uhlenbeck processes with applications to weak subordination," Statistical Inference for Stochastic Processes, Springer, vol. 25(2), pages 365-396, July.
    12. Todorov, Viktor, 2011. "Econometric analysis of jump-driven stochastic volatility models," Journal of Econometrics, Elsevier, vol. 160(1), pages 12-21, January.
    13. N. Chopin & P. E. Jacob & O. Papaspiliopoulos, 2013. "SMC-super-2: an efficient algorithm for sequential analysis of state space models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 397-426, June.
    14. Roberto Leon-Gonzalez, 2018. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 17-16, National Graduate Institute for Policy Studies.
    15. Almut E. D. Veraart, 2008. "Impact of time–inhomogeneous jumps and leverage type effects on returns and realised variances," CREATES Research Papers 2008-57, Department of Economics and Business Economics, Aarhus University.
    16. Emanuele Taufer, 2008. "Characteristic function estimation of non-Gaussian Ornstein-Uhlenbeck processes," DISA Working Papers 0805, Department of Computer and Management Sciences, University of Trento, Italy, revised 07 Jul 2008.
    17. Friedrich Hubalek & Petra Posedel, 2008. "Joint analysis and estimation of stock prices and trading volume in Barndorff-Nielsen and Shephard stochastic volatility models," Papers 0807.3464, arXiv.org, revised Oct 2008.
    18. Gonzalez, Jhonny & Moriarty, John & Palczewski, Jan, 2017. "Bayesian calibration and number of jump components in electricity spot price models," Energy Economics, Elsevier, vol. 65(C), pages 375-388.
    19. Creal, Drew D., 2008. "Analysis of filtering and smoothing algorithms for Lévy-driven stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2863-2876, February.
    20. Mehrdoust, Farshid & Noorani, Idin & Kanniainen, Juho, 2024. "Valuation of option price in commodity markets described by a Markov-switching model: A case study of WTI crude oil market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 228-269.
    21. Friedrich Hubalek & Petra Posedel, 2008. "Asymptotic analysis for a simple explicit estimator in Barndorff-Nielsen and Shephard stochastic volatility models," Papers 0807.3479, arXiv.org.
    22. Anzarut, Michelle & Mena, Ramsés H., 2019. "A Harris process to model stochastic volatility," Econometrics and Statistics, Elsevier, vol. 10(C), pages 151-169.
    23. Shu, Yin & Feng, Qianmei & Liu, Hao, 2019. "Using degradation-with-jump measures to estimate life characteristics of lithium-ion battery," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    24. Sylvia Frühwirth-Schnatter & Leopold Sögner, 2009. "Bayesian estimation of stochastic volatility models based on OU processes with marginal Gamma law," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(1), pages 159-179, March.
    25. S. C. Kou & X. Sunney Xie & Jun S. Liu, 2005. "Bayesian analysis of single‐molecule experimental data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 469-506, June.
    26. Yan-Feng Wu & Xiangyu Yang & Jian-Qiang Hu, 2024. "Method of Moments Estimation for Affine Stochastic Volatility Models," Papers 2408.09185, arXiv.org.

  20. Carmen Fernandez & Mark F J Steel & Gary Koop, 2002. "Multiple-output production with undesirable output: An application to nitrogen surplus in agriculture," Edinburgh School of Economics Discussion Paper Series 34, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
    2. Graham, Mary, 2009. "Developing a social perspective to farm performance analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2390-2398, June.
    3. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    4. Njuki, Eric & Bravo-Ureta, Boris B., 2014. "A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming," Working Paper series 290098, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    5. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
    6. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October.
    7. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    8. Mamardashvili, Phatima & Jan, Pierrick, 2014. "Environmentally harmful by-products in efficiency analysis: An example of nitrogen surplus on Swiss dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182962, European Association of Agricultural Economists.
    9. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    10. Dalheimer, Bernhard & Parikoglou, Iordanis & Brambach, Fabian & Yanita, Mirawati & Kreft, Holger & Brümmer, Bernhard, 2024. "On the palm oil-biodiversity trade-off: Environmental performance of smallholder producers," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    11. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    12. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    13. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    14. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    15. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    16. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    17. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    18. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    19. Khor, Ling Yee & Zeller, Manfred, 2012. "Doubts on input quality: The effect of inaccurate fertilizer content on the estimation of production functions and technical efficiency," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126212, International Association of Agricultural Economists.
    20. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    21. Figge, Frank & Hahn, Tobias & Barkemeyer, Ralf, 2014. "The If, How and Where of assessing sustainable resource use," Ecological Economics, Elsevier, vol. 105(C), pages 274-283.
    22. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    23. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    24. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    25. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    26. Emir Malikov & Subal C. Kumbhakar & Efthymios G. Tsionas, 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," Econometrics, MDPI, vol. 3(2), pages 1-23, June.
    27. Dakpo, K Hervé, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers 245191, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    28. Lota D. Tamini & Bruno Larue & Gale West, 2012. "Technical and environmental efficiencies and best management practices in agriculture," Applied Economics, Taylor & Francis Journals, vol. 44(13), pages 1659-1672, May.
    29. Ball, E. & Fare, R. & Grosskopf, S. & Zaim, O., 2005. "Accounting for externalities in the measurement of productivity growth: the Malmquist cost productivity measure," Structural Change and Economic Dynamics, Elsevier, vol. 16(3), pages 374-394, September.
    30. Marconi, G. & Ritzen, J., 2014. "Money counts for a Times Higher Education top-rank," Research Memorandum 015, Maastricht University, Graduate School of Business and Economics (GSBE).
    31. K Hervé Dakpo, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers SMART 16-06, INRAE UMR SMART.
    32. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    33. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    34. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    35. Khor, Ling Yee & Zeller, Manfred, 2014. "Inaccurate fertilizer content and its effect on the estimation of production functions," China Economic Review, Elsevier, vol. 30(C), pages 123-132.
    36. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    37. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    38. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    39. Subal C. Kumbhakar & Emir Malikov, 2018. "Good modeling of bad outputs: editors’ introduction," Empirical Economics, Springer, vol. 54(1), pages 1-6, February.
    40. Huang, Wei & Bruemmer, Bernhard, 2017. "Balancing economic revenue and grazing pressure of livestock grazing on the Qinghai–Tibetan–Plateau," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), October.
    41. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    42. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    43. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2016. "The good, the bad and the technology: Endogeneity in environmental production models," Journal of Econometrics, Elsevier, vol. 190(2), pages 315-327.
    44. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    45. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    46. Benjamin Hampf, 2018. "Measuring inefficiency in the presence of bad outputs: Does the disposability assumption matter?," Empirical Economics, Springer, vol. 54(1), pages 101-127, February.
    47. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    48. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    49. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    50. Magambo, Isaiah Hubert & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries," EconStor Preprints 235859, ZBW - Leibniz Information Centre for Economics.
    51. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    52. Matousek, Roman & Rughoo, Aarti & Sarantis, Nicholas & George Assaf, A., 2015. "Bank performance and convergence during the financial crisis: Evidence from the ‘old’ European Union and Eurozone," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 208-216.
    53. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
    54. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    55. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    56. Chien-Ming Chen & Magali A. Delmas, 2012. "Measuring Eco-Inefficiency: A New Frontier Approach," Operations Research, INFORMS, vol. 60(5), pages 1064-1079, October.
    57. Lota D. Tamini & Bruno Larue & Gale E. West & Moise K.Ndegue Fongue, 2016. "Agricultural production and pollutant runoffs in QuŽbecÕs Chaudi re river watershed: what are the potential environmental gains?," Cahiers de recherche CREATE 2016-2, CREATE.
    58. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    59. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).
    60. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.
    61. Tsionas, Mike G., 2016. "Notes on technical efficiency estimation with multiple inputs and outputs," European Journal of Operational Research, Elsevier, vol. 249(2), pages 784-788.
    62. Graham, Mary, 2008. "Biophysical Modelling and Performance Measurement," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6773, Australian Agricultural and Resource Economics Society.
    63. Bokusheva, Raushan & Kumbhakar, Subal C., 2014. "A Distance Function Model with Good and Bad Outputs," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182765, European Association of Agricultural Economists.

  21. Carmen Fernandez & Eduardo Ley & Mark Steel, 2001. "Model uncertainty in cross-country growth regressions," Econometrics 0110002, University Library of Munich, Germany.

    Cited by:

    1. Reiner Eichenberger & David Stadelmann, 2009. "Consequences of Debt Capitalization: Property Ownership and Debt/Tax Choice," CREMA Working Paper Series 2009-08, Center for Research in Economics, Management and the Arts (CREMA).
    2. Jäckel, Christoph, 2013. "Model uncertainty and expected return proxies," MPRA Paper 51978, University Library of Munich, Germany.
    3. Eris, Mehmet, 2010. "Population heterogeneity and growth," Economic Modelling, Elsevier, vol. 27(5), pages 1211-1222, September.
    4. Chris Papageorgiou & Winford Masanjala, 2002. "Parameter Heterogeneity and Nonlinearities in the Aggregate Production Function: Investigating the Solow Growth Model with CES Technology," Departmental Working Papers 2002-09, Department of Economics, Louisiana State University.
    5. Li, Kui-Wai & Zhou, Xianbo, 2010. "Openness, domestic performance and growth," Economics Letters, Elsevier, vol. 107(1), pages 13-16, April.
    6. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    7. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    8. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    9. Christoph Hanck, 2016. "I just ran two trillion regressions," Economics Bulletin, AccessEcon, vol. 36(4), pages 2037-2042.
    10. Steven N. Durlauf & Marcel Fafchamps, 2004. "Social Capital," NBER Working Papers 10485, National Bureau of Economic Research, Inc.
    11. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
    12. Randall, Alan & Chen, Ding-Rong, 2011. "A Better Approach to Resolving Variable Selection Uncertainty in Meta Analysis for Benefits Transfer," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114788, European Association of Agricultural Economists.
    13. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    14. Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016. "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series 7645, The World Bank.
    15. Catherine Laffineur & Saulo Dubard Barbosa & Alain Fayolle & Emeran Nziali, 2017. "Active labor market programs’ effects on entrepreneurship and unemployment," Post-Print halshs-01928445, HAL.
    16. Jan Babecký & Tomáš Havránek & Jakub Mateju & Marek Rusnák & Katerina Šmídková & Borek Vašícek, 2012. "Banking, Debt, and Currency Crises: Early Warning Indicators for Developed Countries," Working Papers IES 2012/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2012.
    17. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    18. Andros Kourtellos & Charalambos G. Tsangarides, 2015. "Robust Correlates of Growth Spells: Do Inequality and Redistribution Matter?," Working Paper series 15-20, Rimini Centre for Economic Analysis.
    19. de Carvalho Filho Irineu E, 2011. "28 Months Later: How Inflation Targeters Outperformed Their Peers in the Great Recession," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-46, July.
    20. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2010. "Market freedom and the global recession," CEPR Discussion Papers 7884, C.E.P.R. Discussion Papers.
    21. C. Hopp & A. Dreher, 2013. "Do differences in institutional and legal environments explain cross-country variations in IPO underpricing?," Applied Economics, Taylor & Francis Journals, vol. 45(4), pages 435-454, February.
    22. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    23. Carl Grekou, 2015. "Currency misalignments and economic growth: the foreign currency-denominated debt channel," Working Papers hal-04141399, HAL.
    24. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    25. Blaise Gnimassoun, 2014. "The importance of the exchange rate regime in limiting current account imbalances in sub-Saharan African countries," EconomiX Working Papers 2014-22, University of Paris Nanterre, EconomiX.
    26. Luc Bauwens & Dimitris Korobilis, 2013. "Bayesian methods," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 16, pages 363-380, Edward Elgar Publishing.
    27. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    28. Blaise Gnimassoun & Joseph Keneck Massil, 2016. "Determinants of corruption: Can we put all countries in the same basket?," EconomiX Working Papers 2016-12, University of Paris Nanterre, EconomiX.
    29. Jos頄aniel Buend𨁁zor󸀍 & Mar𨁤el Mar Sᮣhez de la Vega, 2015. "Human capital effects on labour productivity in EU regions," Applied Economics, Taylor & Francis Journals, vol. 47(45), pages 4814-4828, September.
    30. Mr. Charalambos G Tsangarides, 2005. "Growth Empirics Under Model Uncertainty: Is Africa Different?," IMF Working Papers 2005/018, International Monetary Fund.
    31. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    32. Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group.
    33. Nagayasu, Jun, 2013. "Co-movements in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," SIRE Discussion Papers 2013-66, Scottish Institute for Research in Economics (SIRE).
    34. Jesús Crespo-Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "The Determinants of Economic Growth in European Regions," CESifo Working Paper Series 2519, CESifo.
    35. Ronelle Burger, & Stan du Plessis, 2006. "Examining the Robustness of Competing Explanations of Slow Growth in African Countries," Discussion Papers 06/02, University of Nottingham, CREDIT.
    36. Conroy, Tessa & Deller, Steven, 2021. "Spatial Patterns in the Relationship Between Religion and Economic Growth," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 51(2), April.
    37. Roman Horváth, 2012. "Does Trust Promote Growth?," Working Papers 319, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    38. José Manuel Cordero Ferrera & Manuel Muñiz Pérez & Rosa Simancas Rodríguez, 2015. "The influence of socioeconomic factors on cognitive and non-cognitive educational outcomes," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 21, pages 413-438, Asociación de Economía de la Educación.
    39. Moral-Benito, Enrique, 2009. "Determinants of Economic Growth: A Bayesian Panel Data Approach," Policy Research Working Paper Series 4830, The World Bank.
    40. David Dollar & Tatjana Kleineberg & Aart Kraay, 2014. "Growth, Inequality, and Social Welfare: Cross-Country Evidence," LIS Working papers 626, LIS Cross-National Data Center in Luxembourg.
    41. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
    42. Valérie Mignon & Carl Grekou & Emmanuelle Faure, 2023. "Current account balances’ divergence in the euro area: an appraisal of the underlying forces," Working Papers hal-04159836, HAL.
    43. Florian Morvillier, 2019. "Do currency undervaluations affect the impact of inflation on growth?," Post-Print hal-02138677, HAL.
    44. Mignamissi, Dieudonné & Kuete, Yselle Flora, 2020. "What Make African Happy," MPRA Paper 99016, University Library of Munich, Germany.
    45. Carl Grekou, 2014. "On the effectiveness of devaluations in emerging and developing countries," EconomiX Working Papers 2014-61, University of Paris Nanterre, EconomiX.
    46. Eriṣ, Mehmet N. & Ulaṣan, Bülent, 2013. "Trade openness and economic growth: Bayesian model averaging estimate of cross-country growth regressions," Economic Modelling, Elsevier, vol. 33(C), pages 867-883.
    47. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2012. "Is God in the details? A reexamination of the role of religion in economic growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1059-1075, November.
    48. Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "Finance and Wealth Inequality," Working Papers IES 2018/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    49. Arin, K. Peren & Braunfels, Elias, 2018. "The resource curse revisited: A Bayesian model averaging approach," Energy Economics, Elsevier, vol. 70(C), pages 170-178.
    50. Doppelhofer, G. & Cuaresma, J.C., 2007. "Nonlinearities in Cross-Country Growth Regressions: A Bayesian Averaging of Thresholds (BAT) Approach," Cambridge Working Papers in Economics 0706, Faculty of Economics, University of Cambridge.
    51. Kourtellos, Andros & Tan, Chih Ming & Zhang, Xiaobo, 2007. "Is the relationship between aid and economic growth nonlinear?," IFPRI discussion papers 694, International Food Policy Research Institute (IFPRI).
    52. Tom Boot & Didier Nibbering, 2017. "Inference in high-dimensional linear regression models," Tinbergen Institute Discussion Papers 17-032/III, Tinbergen Institute, revised 05 Jul 2017.
    53. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    54. Piotr Wójcik & Bartłomiej Wieczorek, 2020. "We have just explained real convergence factors using machine learning," Working Papers 2020-38, Faculty of Economic Sciences, University of Warsaw.
    55. de Carvalho Filho, Irineu & Colistete, Renato P., 2010. "Education Performance: Was It All Determined 100 Years Ago? Evidence From São Paulo, Brazil," MPRA Paper 24494, University Library of Munich, Germany.
    56. Moral-Benito, Enrique & Roehn, Oliver, 2016. "The impact of financial regulation on current account balances," European Economic Review, Elsevier, vol. 81(C), pages 148-166.
    57. Tomáš Havránek & Zuzana Iršová, 2011. "How to Stir Up FDI Spillovers: Evidence from a Large Meta-Analysis," Working Papers IES 2011/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2011.
    58. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    59. Melisa Chanegriha & Chris Stewart & Christopher Tsoukis, 2017. "Identifying the robust economic, geographical and political determinants of FDI: an Extreme Bounds Analysis," Empirical Economics, Springer, vol. 52(2), pages 759-776, March.
    60. Hineline, David R., 2008. "Parameter heterogeneity in growth regressions," Economics Letters, Elsevier, vol. 101(2), pages 126-129, November.
    61. Joseph, Andreas & Osbat, Chiara, 2016. "How you export matters: the disassortative structure of international trade," Working Paper Series 1958, European Central Bank.
    62. Carmen Fernandez & Eduardo Ley & Mark F J Steel, 2001. "Bayesian modelling of catch in a Northwest Atlantic Fishery," Edinburgh School of Economics Discussion Paper Series 67, Edinburgh School of Economics, University of Edinburgh.
    63. Marianne Baxter, 2017. "Robust Determinants of Bilateral Trade," 2017 Meeting Papers 591, Society for Economic Dynamics.
    64. Arin, K. Peren & Braunfels, Elias & Doppelhofer, Gernot, 2019. "Revisiting the growth effects of fiscal policy: A Bayesian model averaging approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    65. Andros Kourtellos & Ioanna Stylianou & Chih Ming Tan, 2013. "Robust Multiple Regimes in Growth Volatility," Working Paper series 52_13, Rimini Centre for Economic Analysis.
    66. Axel Dreher & Jan-Egbert Sturm, 2006. "Do IMF and World Bank influence voting in the UN general assembly?," KOF Working papers 06-137, KOF Swiss Economic Institute, ETH Zurich.
    67. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    68. Li, Kui-Wai, 2011. "The Optimal Level and Impact of Internal Factors on Growth," MPRA Paper 36419, University Library of Munich, Germany.
    69. Dollar, David & Kleineberg, Tatjana & Kraay, Aart, 2013. "Growth still is good for the poor," Policy Research Working Paper Series 6568, The World Bank.
    70. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla & Masih, A. Mansur M., 2014. "Combining Momentum, Value, and Quality for the Islamic Equity Portfolio: Multi-style Rotation Strategies using Augmented Black Litterman Factor Model," MPRA Paper 56965, University Library of Munich, Germany.
    71. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    72. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    73. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.
    74. Steven N. Durlauf, 2002. "On the Empirics of Social Capital," Economic Journal, Royal Economic Society, vol. 112(483), pages 459-479, November.
    75. Lisa Gianmoena & Vicente Rios, 2018. "The Determinants of Resilience in European Regions During the Great Recession: a Bayesian Model Averaging Approach," Discussion Papers 2018/235, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    76. Vatcharin Sirimaneetham & Jonathan Temple, 2006. "Macroeconomic policy and the distribution of growth rates," Bristol Economics Discussion Papers 06/584, School of Economics, University of Bristol, UK.
    77. Gary Koop, 2012. "Using VARs and TVP-VARs with Many Macroeconomic Variables," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(3), pages 143-167, September.
    78. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    79. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    80. Oberdabernig, Doris A., 2013. "Revisiting the Effects of IMF Programs on Poverty and Inequality," World Development, Elsevier, vol. 46(C), pages 113-142.
    81. Branimir Jovanovic, 2013. "Growth Forecast Errors and Government Investment and Consumption Multipliers," CEIS Research Paper 301, Tor Vergata University, CEIS, revised 17 Dec 2013.
    82. Horvath, Roman, 2011. "Research & development and growth: A Bayesian model averaging analysis," Economic Modelling, Elsevier, vol. 28(6), pages 2669-2673.
    83. Sai Ding & John Knight, 2011. "Why has China Grown So Fast? The Role of Physical and Human Capital Formation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 141-174, April.
    84. Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    85. Sousa, João & Sousa, Ricardo M., 2013. "Asset returns under model uncertainty: evidence from the euro area, the U.S. and the U.K," Working Paper Series 1575, European Central Bank.
    86. Yin-Wong Cheung & Shi He, 2019. "Truths and Myths About RMB Misalignment: A Meta-analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 464-492, September.
    87. Liu, Chu-An, 2012. "A plug-in averaging estimator for regressions with heteroskedastic errors," MPRA Paper 41414, University Library of Munich, Germany.
    88. Blaise Gnimassoun, 2017. "Exchange rate misalignments and the external balance under a pegged currency system," Review of International Economics, Wiley Blackwell, vol. 25(5), pages 949-974, November.
    89. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    90. Peter Jensen, 2010. "Testing the null of a low dimensional growth model," Empirical Economics, Springer, vol. 38(1), pages 193-215, February.
    91. van Binsbergen, Jules & Hueskes, Wouter & Koijen, Ralph & Vrugt, Evert, 2013. "Equity yields," Journal of Financial Economics, Elsevier, vol. 110(3), pages 503-519.
      • Jules H. van Binsbergen & Wouter Hueskes & Ralph Koijen & Evert B. Vrugt, 2011. "Equity Yields," NBER Working Papers 17416, National Bureau of Economic Research, Inc.
    92. Tomas Havranek & Marek Rusnak, 2012. "Transmission Lags of Monetary Policy: A Meta-Analysis," William Davidson Institute Working Papers Series wp1038, William Davidson Institute at the University of Michigan.
    93. Roberto Leon-Gonzalez & Daniel Montolio, 2004. "Growth, convergence and public investment. A Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1925-1936.
    94. Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
    95. Pham, Thi Hong Hanh, 2017. "Impacts of globalization on the informal sector: Empirical evidence from developing countries," Economic Modelling, Elsevier, vol. 62(C), pages 207-218.
    96. Ding, Sai & Knight, John, 2009. "Why has China Grown so Fast? The Role of Structural Change," Proceedings of the German Development Economics Conference, Frankfurt a.M. 2009 7, Verein für Socialpolitik, Research Committee Development Economics.
    97. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
    98. Hamdaoui, Mekki, 2017. "Financial liberalization and systemic banking crises: A meta-analysis," International Economics, Elsevier, vol. 152(C), pages 26-54.
    99. Lena Boneva & James Cloyne & Martin Weale & Tomasz Wieladek, 2020. "Firms' Price, Cost and Activity Expectations: Evidence from Micro Data," The Economic Journal, Royal Economic Society, vol. 130(627), pages 555-586.
    100. Katrin Wölfel & Christoph S. Weber, 2017. "Searching for the Fed’s reaction function," Empirical Economics, Springer, vol. 52(1), pages 191-227, February.
    101. César Carrera, 2017. "From Inflation Targeting to achieving Economic Growth," Working Papers 92, Peruvian Economic Association.
    102. Laura Recuero Virto & Denis Couvet, 2017. "The impact of renewable versus non-renewable natural capital on economic growth," Working Papers 2017.15, FAERE - French Association of Environmental and Resource Economists.
    103. Watson, Philip & Deller, Steven, 2017. "Economic diversity, unemployment and the Great Recession," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 1-11.
    104. Theo S. Eicher & Charis Christofides & Chris Papageorgiou, 2012. "Did Established Early Warning Signals Predict the 2008 Crises?," Working Papers UWEC-2012-05, University of Washington, Department of Economics.
    105. Bonga-Bonga, Lumengo & Ahiakpor, Ferdinand, 2015. "Determinants of Economic Growth in Sub-Saharan Africa: The case of Ghana," MPRA Paper 66923, University Library of Munich, Germany.
    106. Jan R. Magnus & Wendun Wang, 2014. "Concept-Based Bayesian Model Averaging and Growth Empirics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(6), pages 874-897, December.
    107. Cheng, Xu & Hansen, Bruce E., 2015. "Forecasting with factor-augmented regression: A frequentist model averaging approach," Journal of Econometrics, Elsevier, vol. 186(2), pages 280-293.
    108. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2007. "Are any Growth Theories Robust?," University of Cyprus Working Papers in Economics 2-2007, University of Cyprus Department of Economics.
    109. Schneider Ulrike & Wagner Martin, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
    110. Yongfu Huang, 2005. "What determines financial development?," Bristol Economics Discussion Papers 05/580, School of Economics, University of Bristol, UK.
    111. Laura Recuero Virto & Denis Couvet & Frédéric Ducarme, 2018. "The determinants of economic growth in countries with high marine biodiversity," Working Papers 2018.03, FAERE - French Association of Environmental and Resource Economists.
    112. Hartwell, Christopher A., 2016. "The institutional basis of efficiency in resource-rich countries," Economic Systems, Elsevier, vol. 40(4), pages 519-538.
    113. Marco Portmann & David Stadelmann & Reiner Eichenberger, 2010. "District Magnitude and Representation of the Majority?s Preferences: Quasi-Experimental Evidence from Popular and Parliamentary Votes," CREMA Working Paper Series 2010-13, Center for Research in Economics, Management and the Arts (CREMA).
    114. Zhang, Tong & Shi, Xunpeng & Zhang, Dayong & Xiao, Junji, 2019. "Socio-economic development and electricity access in developing economies: A long-run model averaging approach," Energy Policy, Elsevier, vol. 132(C), pages 223-231.
    115. Shigeyuki Hamori & Takahiro Kume, 2018. "Artificial Intelligence And Economic Growth," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 256-278, December.
    116. Theo S. Eicher & Monique Newiak, 2013. "Intellectual property rights as development determinants," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(1), pages 4-22, February.
    117. Dwyer, Shane & Tan, Chih Ming, 2014. "Hits and runs: Determinants of the cross-country variation in the severity of impact from the 2008–09 financial crisis," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 69-90.
    118. Kalli, Maria & Griffin, Jim E., 2014. "Time-varying sparsity in dynamic regression models," Journal of Econometrics, Elsevier, vol. 178(2), pages 779-793.
    119. David Kaplan, 2021. "On the Quantification of Model Uncertainty: A Bayesian Perspective," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 215-238, March.
    120. Kebede, Jeleta & Naranpanawa, Athula & Selvanathan, Saroja, 2023. "Financial inclusion and income inequality nexus: A case of Africa," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 539-557.
    121. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
    122. De Marco, Filippo & Kneer, Christiane & Wieladek, Tomasz, 2021. "The real effects of capital requirements and monetary policy: Evidence from the United Kingdom," Journal of Banking & Finance, Elsevier, vol. 133(C).
    123. Chiu Adrian & Wieladek Tomasz, 2013. "Is the “Great Recession” really so different from the past?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1037-1084, October.
    124. Doppelhofer, G. & Weeks, M., 2011. "Robust Growth Determinants," Cambridge Working Papers in Economics 1117, Faculty of Economics, University of Cambridge.
    125. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    126. Morvillier, Florian, 2020. "Do currency undervaluations affect the impact of inflation on growth?," Economic Modelling, Elsevier, vol. 84(C), pages 275-292.
    127. Zareh Asatryan & Lars P. Feld, 2013. "Revisiting the Link between Growth and Federalism: A Bayesian Model Averaging Approach," CESifo Working Paper Series 4357, CESifo.
    128. Ley, Eduardo & Steel, Mark F. J., 2006. "Jointness in Bayesian variable selection with applications to growth regression," Policy Research Working Paper Series 4063, The World Bank.
    129. Jesus Crespo Cuaresma, 2010. "Natural Disasters and Human Capital Accumulation," The World Bank Economic Review, World Bank, vol. 24(2), pages 280-302, July.
    130. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    131. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    132. Sutter, Ryan, 2008. "The Existence of Positive Psychological Environments and Their Impact on Regional Entrepreneurship," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-14.
    133. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    134. Liu, Yang & Luan, Lin & Wu, Weilong & Zhang, Zhiqiang & Hsu, Yen, 2021. "Can digital financial inclusion promote China's economic growth?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    135. Niclas Berggren & Mikael Elinder & Henrik Jordahl, 2008. "Trust and growth: a shaky relationship," Empirical Economics, Springer, vol. 35(2), pages 251-274, September.
    136. Gross, Jonas & Zahner, Johannes, 2021. "What is on the ECB’s mind? Monetary policy before and after the global financial crisis," Journal of Macroeconomics, Elsevier, vol. 68(C).
    137. Sona Benecka & Lubos Komarek, 2014. "International Reserves: Facing Model Uncertainty," Working Papers 2014/03, Czech National Bank.
    138. Ethan Cohen-Cole & Steven Durlauf & Jeffrey Fagan & Daniel Nagin, 2008. "Model Uncertainty and the Deterrent Effect of Capital Punishment," American Law and Economics Review, American Law and Economics Association, vol. 11(2), pages 335-369.
    139. Chris Papageorgiou & Winford H. Masanjala, 2006. "Initial Conditions, European Colonialism and Africa's Growth," Departmental Working Papers 2006-01, Department of Economics, Louisiana State University.
    140. Temple, Jonathan & Malik, Adeel, 2006. "The Geography of Output Volatility," CEPR Discussion Papers 5516, C.E.P.R. Discussion Papers.
    141. Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
    142. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    143. Huigang Chen & Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides, 2011. "Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model," IMF Working Papers 2011/230, International Monetary Fund.
    144. Wagner Martin & Zeileis Achim, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, De Gruyter, vol. 20(1), pages 67-82, February.
    145. Xiaowen Dai & Libin Jin & Lei Shi & Cuiping Yang & Shuangzhe Liu, 2016. "Local influence analysis in general spatial models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(3), pages 313-331, July.
    146. Martin Wagner & Achim Zeileis, 2012. "Heterogeneity of Regional Growth in the European Union," Working Papers 2012-20, Faculty of Economics and Statistics, Universität Innsbruck.
    147. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    148. Martin Feldkircher, 2012. "Forecast Combination and Bayesian Model Averaging: A Prior Sensitivity Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(4), pages 361-376, July.
    149. Roberto Leon-Gonzalez & Thanabalasingam Vinayagathasan, 2013. "Robust Determinants of Growth in Asian Developing Economies: A Bayesian Panel Data Model Averaging Approach," GRIPS Discussion Papers 13-12, National Graduate Institute for Policy Studies.
    150. Melián-González, Arturo & Moreno-Gil, Sergio & Araña, Jorge E., 2011. "Gay tourism in a sun and beach destination," Tourism Management, Elsevier, vol. 32(5), pages 1027-1037.
    151. Marques, Helena & Pino, Gabriel, 2013. "Do happiness indexes truly reveal happiness? : measurin happiness using revealed preferences from migration flows," DES - Working Papers. Statistics and Econometrics. WS ws130908, Universidad Carlos III de Madrid. Departamento de Estadística.
    152. Mr. Jonathan David Ostry & Mr. Andrew Berg & Mr. Jeromin Zettelmeyer, 2008. "What Makes Growth Sustained?," IMF Working Papers 2008/059, International Monetary Fund.
    153. Andros Kourtellos & Ioanna Stylianou & Chih Ming Tan, 2011. "Failure to Launch? The Role of Land Inequality in Transition Delays," University of Cyprus Working Papers in Economics 06-2011, University of Cyprus Department of Economics.
    154. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    155. Gary Koop & Simon M. Potter & Rodney W. Strachan, 2005. "Reexamining the consumption-wealth relationship: the role of model uncertainty," Staff Reports 202, Federal Reserve Bank of New York.
    156. Carl Grekou, 2015. "Currency misalignments and economic growth: the foreign currency-denominated debt channel," EconomiX Working Papers 2015-23, University of Paris Nanterre, EconomiX.
    157. Luca Onorante & Adrian E. Raftery, 2014. "Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window," Papers 1410.7799, arXiv.org.
    158. Laia Maynou & Bruce Morley & Mercedes Monfort & Javier Ordóñez, 2020. "House price convergence Across Europe," Working Papers 2020/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    159. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    160. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2008. "Empirics of Growth and Development," Chapters, in: Amitava Krishna Dutt & Jaime Ros (ed.), International Handbook of Development Economics, Volumes 1 & 2, volume 0, chapter 3, Edward Elgar Publishing.
    161. Rumi Masih & A. Mansur M. Masih & Kilian Mie, 2010. "Model uncertainty and asset return predictability: an application of Bayesian model averaging," Applied Economics, Taylor & Francis Journals, vol. 42(15), pages 1963-1972.
    162. J Korosteleva & Colin Lawson, 2009. "The Belarusian Case of Transition: Whither Financial Repression?," Department of Economics Working Papers 4/09, University of Bath, Department of Economics.
    163. Horvath, Roman & Horvatova, Eva & Siranova, Maria, 2017. "Financial development, rule of law and wealth inequality: Bayesian model averaging evidence," BOFIT Discussion Papers 12/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    164. Odusola, Ayodele & Abidoye, Babatunde, 2015. "Effects of Temperature and Rainfall Shocks on Economic Growth in Africa," UNDP Africa Research Discussion Papers 267028, United Nations Development Programme (UNDP).
    165. MacDonald, Ronald & Nagayasu, Jun, 2013. "Currency Forecast Errors at Times of Low Interest Rates: Evidence from Survey Data on the Yen/Dollar Exchange Rate," SIRE Discussion Papers 2013-100, Scottish Institute for Research in Economics (SIRE).
    166. Crespo Cuaresma, Jesus & von Schweinitz, Gregor & Wendt, Katharina, 2019. "On the empirics of reserve requirements and economic growth," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 253-274.
    167. Feldkircher, Martin & Horvath, Roman & Rusnak, Marek, 2014. "Exchange market pressures during the financial crisis: A Bayesian model averaging evidence," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 21-41.
    168. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    169. Ms. Sonali Jain-Chandra & Ms. Kalpana Kochhar & Ms. Monique Newiak & Yang Yang & Ms. Edda Zoli, 2018. "Gender Equality: Which Policies Have the Biggest Bang for the Buck?," IMF Working Papers 2018/105, International Monetary Fund.
    170. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
    171. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    172. Theo Eicher & Chris Papageogiou & Adrian E Raftery, 2007. "Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants," Working Papers UWEC-2007-25-P, University of Washington, Department of Economics.
    173. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    174. W. Robert Reed, 2006. "The Determinants of U. S. State Economic Growth: A Less Extreme Bounds Analysis," Working Papers in Economics 06/05, University of Canterbury, Department of Economics and Finance.
    175. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    176. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    177. Olivier Parent & Abdallah Zouache, 2009. "Geographical Features vs. Institutional Factors: New Perspectives on The Growth of Africa and Middle-East," Working Papers 490, Economic Research Forum, revised Jun 2009.
    178. João Sousa & Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Eveidence from the euro area, the U.K and the U.S," NIPE Working Papers 21/2011, NIPE - Universidade do Minho.
    179. Andros Kourtellos & Christa Marr & Chih Ming Tan, 2014. "Robust Determinants of Intergenerational Mobility in the Land of Opportunity," University of Cyprus Working Papers in Economics 07-2014, University of Cyprus Department of Economics.
    180. Cullen Goenner, 2010. "Discrimination and Mortgage Lending in Boston: The Effects of Model Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 40(3), pages 260-285, April.
    181. Andros Kourtellos & Ioanna Stylianou & Chih Tan, 2015. "Robust multiple regimes in growth volatility," Empirical Economics, Springer, vol. 48(1), pages 461-491, February.
    182. Anna Sokolova & Todd Sorensen, 2021. "Monopsony in Labor Markets: A Meta-Analysis," ILR Review, Cornell University, ILR School, vol. 74(1), pages 27-55, January.
    183. Wagner Martin & Hlouskova Jaroslava, 2015. "Growth Regressions, Principal Components Augmented Regressions and Frequentist Model Averaging," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 642-662, December.
    184. Gilad D. Aharonovitz, 2011. "Why Cannot Poor Countries Utilize Existing Knowledge? Expansion Of Firms And Human Capital Accumulation By Training," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 108-121, January.
    185. Negri­n, Miguel A. & Vázquez-Polo, Francisco-José, 2008. "Incorporating model uncertainty in cost-effectiveness analysis: A Bayesian model averaging approach," Journal of Health Economics, Elsevier, vol. 27(5), pages 1250-1259, September.
    186. Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides & Huigang Chen, 2009. "Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods," IMF Working Papers 2009/074, International Monetary Fund.
    187. Sara D'Andrea, 2022. "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, CEPII research center, issue 171, pages 143-173.
    188. Rosa Capolupo, 2005. "THE NEW GROWTH THEORIES AND THEIR EMPIRICS, Discussion Paper in Economics, University of Glasgow, N. 2005-04 (http://www.gla.ac.uk/Acad/Economics," GE, Growth, Math methods 0506003, University Library of Munich, Germany.
    189. Bjørnskov, Christian & Dreher, Axel & Fischer, Justina A. V., 2006. "Cross-country determinants of life satisfaction: exploring different determinants across groups in society," LSE Research Online Documents on Economics 19290, London School of Economics and Political Science, LSE Library.
    190. Prüfer, P. & Tondl, G., 2008. "The FDI-Growth Nexus in Latin America : The Role of Source Countries and Local Conditions," Other publications TiSEM 73b28850-1597-4bcb-a76c-1, Tilburg University, School of Economics and Management.
    191. Roman Horváth & Kateøina Šmídková & Jan Zápal & Marek Rusnák, 2012. "Dissent Voting Behavior of Central Bankers: What Do We Really Know?," Working Papers IES 2012/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    192. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    193. Ruggieri, Eric & Lawrence, Charles E., 2012. "On efficient calculations for Bayesian variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1319-1332.
    194. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2005. "How Robust Are the Linkages Between Religiosity and Economic Growth," Discussion Papers Series, Department of Economics, Tufts University 0510, Department of Economics, Tufts University.
    195. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    196. Daniele, Vittorio, 2009. "Regional convergence and public spending in Italy. Is there a correlation?," MPRA Paper 14334, University Library of Munich, Germany.
    197. Josef Bajzik & Dominika Ehrenbergerova & Tomas Havranek, 2021. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," Working Papers IES 2021/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2021.
    198. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    199. Cohen-Cole,E.B. & Durlauf,S.N. & Rondina,G., 2005. "Nonlinearities in growth : from evidence to policy," Working papers 9, Wisconsin Madison - Social Systems.
    200. Narayan Bulusu & Pierre Guérin, 2018. "What Drives Interbank Loans? Evidence from Canada," Staff Working Papers 18-5, Bank of Canada.
    201. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    202. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    203. Cécile Couharde & Carl Grekou & Valérie Mignon, 2020. "MULTIPRIL, a new database on multilateral price levels and currency misalignments," Working Papers 2020-12, CEPII research center.
    204. Dreher, Axel, 2003. "Does Globalization Affect Growth?," Conference papers 331083, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    205. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
    206. Dimitrios Bakas & Georgios Chortareas & Georgios Magkonis, 2017. "Volatility and Growth: A not so straightforward relationship," Working Paper series 17-12, Rimini Centre for Economic Analysis.
    207. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    208. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    209. Jesús Crespo Cuaresma & Martin Feldkircher, 2013. "Spatial Filtering, Model Uncertainty And The Speed Of Income Convergence In Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 720-741, June.
    210. Issiaka Coulibaly, 2013. "Competitiveness and growth within the CFA franc zone: does the switch to the euro matter?," Erudite Working Paper 2013-04, Erudite.
    211. Katarzyna Anna BARAN, 2020. "The Impact of Macroeconomic and Institutional Factors on Economic Growth in the CEE-4 Countries," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 4(2), pages 1-26.
    212. Leamer, Edward E., 2016. "S-values and Bayesian weighted all-subsets regressions," European Economic Review, Elsevier, vol. 81(C), pages 15-31.
    213. Nieminen, Mika & Kuziemska-Pawlak, Kamila, 2024. "Cross-country variation in economic preferences and the asset composition of international investment positions," Journal of International Money and Finance, Elsevier, vol. 146(C).
    214. Carpantier, Jean-Francois & Litina, Anastasia, 2014. "Dissecting the Act of God: An Exploration of the Effect of Religion on Economic Activity," MPRA Paper 56267, University Library of Munich, Germany.
    215. Aedın Doris & Donal O’Neill & Olive Sweetman, 2011. "GMM estimation of the covariance structure of longitudinal data on earnings," Stata Journal, StataCorp LP, vol. 11(3), pages 439-459, September.
    216. Jonathan H. Wright, 2003. "Bayesian Model Averaging and exchange rate forecasts," International Finance Discussion Papers 779, Board of Governors of the Federal Reserve System (U.S.).
    217. Ron Bird & Richard Gerlach, 2006. "A Bayesian Model Averaging Approach to Enhance Value Investment," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 5(2), pages 111-127, August.
    218. Mr. Chris Papageorgiou & Christian Henn & Theo S. Eicher, 2008. "Trade Creation and Diversion Revisited: Accounting for Model Uncertainty and Natural Trading Partner Effects," IMF Working Papers 2008/066, International Monetary Fund.
    219. Jesús Crespo Cuaresma & Tomáš Slacík, 2008. "Determinants of Currency Crises: A Conflict of Generations?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 126-141.
    220. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    221. Maribel Serna Rodríguez & Andrés Ramírez Hassan & Alexander Coad, 2019. "Uncovering Value Drivers of High Performance Soccer Players," Journal of Sports Economics, , vol. 20(6), pages 819-849, August.
    222. Asad Zaman, 2017. "Lessons in Econometric Methodology: The Axiom of Correct Specification," International Econometric Review (IER), Econometric Research Association, vol. 9(2), pages 50-68, September.
    223. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," EconStor Preprints 260586, ZBW - Leibniz Information Centre for Economics.
    224. Jesus Crespo Cuaresma & Gernot Doppelhofer & Florian Huber & Philipp Piribauer, 2015. "Growing Together? Projecting Income Growth in Europe at the Regional Level," Department of Economics Working Papers wuwp198, Vienna University of Economics and Business, Department of Economics.
    225. Nieminen, Mika, 2022. "Cross-country variation in patience, persistent current account imbalances and the external wealth of nations," Journal of International Money and Finance, Elsevier, vol. 121(C).
    226. Doris A. Oberdabernig & Stefan Humer & Jesus Crespo Cuaresma, 2018. "Democracy, Geography and Model Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(2), pages 154-185, May.
    227. Warren Moraghen & Boopen Seetanah & Noor Sookia, 2019. "Explaining Heterogeneity in the Effect of the Exchange Rate and Exchange Rate Volatility on Foreign Direct Investment: A Meta‐Analysis Approach," African Development Review, African Development Bank, vol. 31(3), pages 275-291, September.
    228. Kuo-Jung Lee & Yi-Chi Chen, 2018. "Of needles and haystacks: revisiting growth determinants by robust Bayesian variable selection," Empirical Economics, Springer, vol. 54(4), pages 1517-1547, June.
    229. Blazejowski, Marcin & Kwiatkowski, Jacek, 2020. "Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl," MPRA Paper 98387, University Library of Munich, Germany.
    230. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
    231. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    232. Giuseppe De Luca & Jan R. Magnus, 2011. "Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues," Stata Journal, StataCorp LP, vol. 11(4), pages 518-544, December.
    233. Liu, Chu-An, 2013. "Distribution Theory of the Least Squares Averaging Estimator," MPRA Paper 54201, University Library of Munich, Germany.
    234. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    235. Pesaran, M.H. & Timmermann, A., 2004. "‘Real Time Econometrics’," Cambridge Working Papers in Economics 0432, Faculty of Economics, University of Cambridge.
    236. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge.
    237. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
    238. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    239. Carl Grekou, 2014. "On the effectiveness of devaluations in emerging and developing countries," Working Papers hal-04141278, HAL.
    240. Ali, Amjad & Ur Rehman, Hafeez, 2015. "Macroeconomic Instability and Its Impact on Gross Domestic Product: An Empirical Analysis of Pakistan," MPRA Paper 82496, University Library of Munich, Germany, revised 2015.
    241. Crespo Cuaresma, Jesús & Fidrmuc, Jarko & Hake, Mariya, 2014. "Demand and supply drivers of foreign currency loans in CEECs: A meta-analysis," Economic Systems, Elsevier, vol. 38(1), pages 26-42.
    242. Shyam Ranganathan & Viktoria Spaiser & Richard P Mann & David J T Sumpter, 2014. "Bayesian Dynamical Systems Modelling in the Social Sciences," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    243. Egle Tafenau, 2004. "Modelling the Economic Growth of the Countries in the Baltic Sea Region," University of Tartu - Faculty of Economics and Business Administration, in: Modelling the Economies of the Baltic Sea Region, volume 17, chapter 2, pages 54-91, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    244. David F. Hendry & Hans‐Martin Krolzig, 2004. "We Ran One Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 799-810, December.
    245. David Stadelmann & Reiner Eichenberger, 2012. "Consequences of Debt Capitalization: Property Ownership and Debt versus Tax Choice," Southern Economic Journal, John Wiley & Sons, vol. 78(3), pages 976-998, January.
    246. Eicher, Theo S. & Rollinson, Yuan Gao, 2023. "The accuracy of IMF crises nowcasts," International Journal of Forecasting, Elsevier, vol. 39(1), pages 431-449.
    247. Blaise Gnimassoun, 2015. "Exchange rate misalignments and the external balance under a pegged currency system," Working Papers hal-04141421, HAL.
    248. William A. Brock & Steven N. Durlauf, 2015. "On Sturdy Policy Evaluation," The Journal of Legal Studies, University of Chicago Press, vol. 44(S2), pages 447-473.
    249. Gary Koop & Simon Potter, 2003. "Forecasting in Large Macroeconomic Panels using Bayesian Model Averaging," Discussion Papers in Economics 04/16, Division of Economics, School of Business, University of Leicester.
    250. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
    251. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian Model Averaging techniques," Working Papers 2020/25, Economics Department, Universitat Jaume I, Castellón (Spain).
    252. Eicher, Theo S. & Papageorgiou, Chris & Roehn, Oliver, 2007. "Unraveling the fortunes of the fortunate: An Iterative Bayesian Model Averaging (IBMA) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 494-514, September.
    253. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    254. Jesús Crespo-Cuaresma & Tomas Slacik, "undated". "On the determinants of currency crises: The role of model uncertainty," Working Papers 2008-03, Faculty of Economics and Statistics, Universität Innsbruck.
    255. Antonakakis, Nikolaos & Tondl, Gabriele, 2012. "Do determinants of FDI to developing countries differ among OECD investors? Insights from Bayesian model averaging," Discussion Papers 1/12, Europa-Kolleg Hamburg, Institute for European Integration.
    256. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    257. Josip Tica & Viktor Viljevac & Matija Matiæ, 2023. "Employment rate and economic growth:The case of transition countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(1), pages 9-39.
    258. Rodney W. Strachan, 2007. "Bayesian Inference in Cointegrated I (2) Systems: A Generalization of the Triangular Model," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 439-468.
    259. Al-Azzam, Moh’d & Parmeter, Christopher F. & Sarangi, Sudipta, 2020. "On the complex relationship between different aspects of social capital and group loan repayment," Economic Modelling, Elsevier, vol. 90(C), pages 92-107.
    260. Lundström, Susanna, 2003. "Effects of Economic Freedom on Growth and the Environment - Implications for Cross-Country Analysis," Working Papers in Economics 115, University of Gothenburg, Department of Economics.
    261. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    262. Iršová, Zuzana & Havránek, Tomáš, 2013. "Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis," World Development, Elsevier, vol. 42(C), pages 1-15.
    263. Hippolyte Balima & Anna Sokolova, 2021. "IMF programs and economic growth: A meta-analysis," Post-Print hal-03557677, HAL.
    264. Joanna Stawska & Katarzyna Miszczyńska, 2022. "The impact of monetary and fiscal policy variables on the EU economic growth. Panel data analysis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(4), pages 380-395, June.
    265. Ng, Adam & Ibrahim, Mansor H. & Mirakhor, Abbas, 2016. "Does trust contribute to stock market development?," Economic Modelling, Elsevier, vol. 52(PA), pages 239-250.
    266. Shahram Amini & Christopher F. Parmeter, 2011. "Bayesian Model Averaging in R," Working Papers 2011-9, University of Miami, Department of Economics.
    267. Xiaowen Dai & Libin Jin & Anqi Shi & Lei Shi, 2016. "Outlier detection and accommodation in general spatial models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(3), pages 453-475, August.
    268. Laia Maynou & Marc Saez & Jordi Bacaria & Guillem Lopez-Casasnovas, 2015. "Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(5), pages 543-559, June.
    269. Ampaabeng, Samuel K. & Tan, Chih Ming, 2013. "The long-term cognitive consequences of early childhood malnutrition: The case of famine in Ghana," Journal of Health Economics, Elsevier, vol. 32(6), pages 1013-1027.
    270. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    271. Pandelis Mitsis, 2012. "Is there an Environmental Kuznets Curve in the Carbon Dioxide Emissions?," University of Cyprus Working Papers in Economics 16-2012, University of Cyprus Department of Economics.
    272. Gilles Dufrénot & Valérie Mignon & Charalambos Tsangarides, 2009. "The Trade-Growth Nexus in the Developing Countries: a Quantile Regression Approach," Working Papers 2009-04, CEPII research center.
    273. Matteo Lanzafame, 2016. "Potential Growth in Asia and Its Determinants: An Empirical Investigation," Asian Development Review, MIT Press, vol. 33(2), pages 1-27, September.
    274. Samuel K. Ampaabeng & Chih Ming Tang, 2012. "The Long-Term Cognitive Consequences of Early Childhood Malnutrition: The Case of Famine in Ghana," Working Paper series 64_12, Rimini Centre for Economic Analysis.
    275. David Kaplan & Chansoon Lee, 2018. "Optimizing Prediction Using Bayesian Model Averaging: Examples Using Large-Scale Educational Assessments," Evaluation Review, , vol. 42(4), pages 423-457, August.
    276. Lee, Jim, 2011. "Export specialization and economic growth around the world," Economic Systems, Elsevier, vol. 35(1), pages 45-63, March.
    277. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    278. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    279. Peter Huber, 2013. "Labour Market Institutions and Regional Unemployment Disparities. Evidence for Europe. WWWforEurope Working Paper No. 29," WIFO Studies, WIFO, number 46890.
    280. Andros Kourtellos & Thanasis Stengos & Chih Ming Tan, 2012. "The Effect of Public Debt on Growth in Multiple Regimes," Working Paper series 60_12, Rimini Centre for Economic Analysis.
    281. Rosa Capolupo, "undated". "The New Growth Theoris and their Empirics," Working Papers 2005_4, Business School - Economics, University of Glasgow.
    282. MacDonald, Ronald & Nagayasu, Jun, 2015. "Currency forecast errors and carry trades at times of low interest rates: Evidence from survey data on the yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 1-19.
    283. Freier, Ronny & Geys, Benny & Holm, Joshua, 2016. "Religious heterogeneity and fiscal policy: Evidence from German reunification," Journal of Urban Economics, Elsevier, vol. 94(C), pages 1-12.
    284. Desbordes, Rodolphe & Koop, Gary & Vicard, Vincent, 2018. "One size does not fit all… panel data: Bayesian model averaging and data poolability," Economic Modelling, Elsevier, vol. 75(C), pages 364-376.
    285. Hyun Hak Kim & Norman Swanson, 2013. "Mining Big Data Using Parsimonious Factor and Shrinkage Methods," Departmental Working Papers 201316, Rutgers University, Department of Economics.
    286. Pavel S. Pronin, 2020. "International Trade And Democracy: How Trade Partners Affect Regime Change And Persistence," HSE Working papers WP BRP 75/PS/2020, National Research University Higher School of Economics.
    287. Christopher Hartwell, 2015. "Après le déluge: Institutions, the Global Financial Crisis, and Bank Profitability in Transition," Open Economies Review, Springer, vol. 26(3), pages 497-524, July.
    288. David Coyne & Chih Ming Tan, 2012. "Do Political Institutions Yield Multiple Growth Regimes?," Working Paper series 36_12, Rimini Centre for Economic Analysis.
    289. Nikolaos Antonakakis & Gabriele Tondl, 2015. "Robust determinants of OECD FDI in developing countries: Insights from Bayesian model averaging," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1095851-109, December.
    290. LeSage, James P. & Kelley Pace, R., 2007. "A matrix exponential spatial specification," Journal of Econometrics, Elsevier, vol. 140(1), pages 190-214, September.
    291. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    292. Jonathan H. Wright, 2003. "Forecasting U.S. inflation by Bayesian Model Averaging," International Finance Discussion Papers 780, Board of Governors of the Federal Reserve System (U.S.).
    293. Eduardo Acosta-González & Fernando Fernández-Rodríguez, 2007. "Model selection via genetic algorithms illustrated with cross-country growth data," Empirical Economics, Springer, vol. 33(2), pages 313-337, September.
    294. Maltritz, Dominik, 2012. "Determinants of sovereign yield spreads in the Eurozone: A Bayesian approach," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 657-672.
    295. Aharonovitz Gilad D & Miller James D, 2010. "Are Net FDI Flows and Reversals of Capital Flows a Result of Output Growth?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-28, August.
    296. Steven N. Durlauf & Andros Kourtelos & Chih Ming Tan, 2006. "Is God in the details? A reexamination of the Role of Relegion in Economic," University of Cyprus Working Papers in Economics 10-2006, University of Cyprus Department of Economics.
    297. Dimitar Zlatinov & Ilia Atanasov, 2021. "Absolute and Conditional Convergence: A Story about Convergence Clubs and Divergence in the EU," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 39-55.
    298. Christian Daude & Arne Nagengast & José Ramón Perea, 2014. "Productive Capabilities: An Empirical Investigation of their Determinants," OECD Development Centre Working Papers 321, OECD Publishing.
    299. Marco Portmann & David Stadelmann & Reiner Eichenberger, 2012. "District magnitude and representation of the majority’s preferences: Evidence from popular and parliamentary votes," Public Choice, Springer, vol. 151(3), pages 585-610, June.
    300. Baele, Lieven & De Bruyckere, Valerie & De Jonghe, Olivier & Vander Vennet, Rudi, 2015. "Model uncertainty and systematic risk in US banking," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 49-66.
    301. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    302. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    303. Jesús Crespo Cuaresma & Maria Silgoner, 2014. "Economic Growth and Inflation in Europe: A Tale of Two Thresholds," Journal of Common Market Studies, Wiley Blackwell, vol. 52(4), pages 843-860, July.
    304. Jaroslava Hlouskova & Martin Wagner, 2013. "The Determinants of Long-Run Economic Growth: A Conceptually and Computationally Simple Approach," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 445-492, December.
    305. Feng, Guohua & Gao, Jiti & Peng, Bin, 2022. "An integrated panel data approach to modelling economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
    306. David Stadelmann, 2009. "Which Factors Capitalize into House Prices? A Bayesian Averaging Approach," CREMA Working Paper Series 2009-10, Center for Research in Economics, Management and the Arts (CREMA).
    307. Ons Jedidi & Jean-Sébastien Pentecôte, 2015. "Prédire les crises bancaires : un système d’alerte robuste," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 189-225.
    308. Wongboonsin, Kua & Phiromswad, Piyachart, 2017. "Searching for empirical linkages between demographic structure and economic growth," Economic Modelling, Elsevier, vol. 60(C), pages 364-379.
    309. Iván Arribas & Emili Tortosa-Ausina & TingTing Zhu, 2021. "Optimal capital structure, model uncertainty, and European SMEs," Working Papers 2021/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    310. Wenming Xu & Guangdong Xu, 2016. "Truth and Robustness in Cross-country Law and Finance Regressions: A Bayesian analysis of the Empirical “Law Matters†Thesis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-6.
    311. Farid Gasmi & Laura Recuero Virto & Denis Couvet, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems," Post-Print hal-04547896, HAL.
    312. Daniele VITTORIO, 2009. "Public Spending And Regional Convergence In Italy," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_Summ).
    313. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    314. Florian Schoiswohl & Philipp Piribauer & Michael Gmeinder & Matthias Koch & Manfred Fischer, 2012. "The Speed of Income Convergence in Europe: A case for Bayesian Model Averaging with Eigenvector Filtering," ERSA conference papers ersa12p744, European Regional Science Association.
    315. Michael Danquah & Enrique Moral-Benito & Bazoumana Ouattara, 2014. "TFP growth and its determinants: a model averaging approach," Empirical Economics, Springer, vol. 47(1), pages 227-251, August.
    316. Theo Eicher & Jeff Begun, 2008. "In Search of a Sulphur Dioxide Environmental Kuznets Curve: A Bayesian Model Averaging Approach," Working Papers UWEC-2007-19-P, University of Washington, Department of Economics.
    317. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.
    318. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).
    319. Aromi, J. Daniel, 2020. "Linking words in economic discourse: Implications for macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1517-1530.
    320. Tessa Conroy & Steven Deller & Philip Watson, 2021. "Regional income inequality: a link to women-owned businesses," Small Business Economics, Springer, vol. 56(1), pages 189-207, January.
    321. Wagner, Martin & Hlouskova, Jaroslava, 2009. "Growth Regressions, Principal Components and Frequentist Model Averaging," Economics Series 236, Institute for Advanced Studies.
    322. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    323. Lucchetti, Riccardo & Pedini, Luca & Pigini, Claudia, 2022. "No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation," Economic Modelling, Elsevier, vol. 107(C).
    324. Joy, Mark, 2012. "Sovereign default and macroeconomic tipping points," Research Technical Papers 10/RT/12, Central Bank of Ireland.
    325. Ramírez-Hassan, Andrés & Carvajal-Rendón, Daniela A., 2021. "Specification uncertainty in modeling internet adoption: A developing city case analysis," Utilities Policy, Elsevier, vol. 70(C).
    326. Ravazzolo, F. & van Dijk, H.K. & Verbeek, M.J.C.M., 2007. "Predictive gains from forecast combinations using time-varying model weights," Econometric Institute Research Papers EI 2007-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    327. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.
    328. Kevin S. Nell & A.P. Thirlwall, 2017. "Perche' la produttivita' degli investimenti varia tra paesi? (Why does the productivity of investment vary across countries?)," Moneta e Credito, Economia civile, vol. 70(279), pages 197-231.
    329. Coulibaly, Issiaka & Gnimassoun, Blaise, 2013. "Optimality of a monetary union: New evidence from exchange rate misalignments in West Africa," Economic Modelling, Elsevier, vol. 32(C), pages 463-482.
    330. Simona Malovana & Martin Hodula & Josef Bajzik & Zuzana Gric, 2021. "A Tale of Different Capital Ratios: How to Correctly Assess the Impact of Capital Regulation on Lending," Working Papers 2021/8, Czech National Bank.
    331. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    332. Diana Zigraiova & Petr Jakubik, 2014. "Systemic Event Prediction by Early Warning System," Working Papers IES 2014/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2014.
    333. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
    334. Leamer, Edward E., 2016. "S-values: Conventional context-minimal measures of the sturdiness of regression coefficients," Journal of Econometrics, Elsevier, vol. 193(1), pages 147-161.
    335. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, vol. 8(2), pages 1-29, May.
    336. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    337. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    338. Jing Chen, 2018. "Economic Diversity and Regional Economic Performance: A Methodological Concern from Model Uncertainty," Working Papers Working Paper 2018-05, Regional Research Institute, West Virginia University.
    339. Deller, Steven C. & Lledo, Victor, 2007. "Amenities and Rural Appalachia Economic Growth," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), pages 1-26, April.
    340. Svatopluk Kapounek, 2016. "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," MENDELU Working Papers in Business and Economics 2016-69, Mendel University in Brno, Faculty of Business and Economics.
    341. Adam Nowak & Patrick Smith, 2015. "Textual Analysis in Real Estate," Working Papers 15-34, Department of Economics, West Virginia University.
    342. Lillie Lam & Laurence Fung & Ip-wing Yu, 2008. "Comparing Forecast Performance of Exchange Rate Models," Working Papers 0808, Hong Kong Monetary Authority.
    343. Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.
    344. Sibabrata Das & Mukti Upadhyay, 2019. "Growth of Real GDP and Total Factor Productivity in Asia with an Emphasis on Malaysian Growth," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(4), pages 391-413, December.
    345. Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.
    346. Axel Dreher, 2006. "Does globalization affect growth? Evidence from a new index of globalization," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1091-1110.
    347. Bandiera, Luca & Cuaresma, Jesus Crespo & Vincelette, Gallina A., 2010. "Unpleasant surprises : sovereign default determinants and prospects," Policy Research Working Paper Series 5401, The World Bank.
    348. Catalina A. Vallejos & Mark F. J. Steel, 2017. "Bayesian survival modelling of university outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 613-631, February.
    349. Habyarimana, Jean-Baptiste & Opoku, Eric Evans Osei, 2018. "Technological progress, worker efficiency, and growth in Africa: Does China's economy matter?," China Economic Review, Elsevier, vol. 52(C), pages 151-164.
    350. Durlauf,S.N., 2003. "The convergence hypothesis after 10 years," Working papers 6, Wisconsin Madison - Social Systems.
    351. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    352. Jon D. Samuels & Rodrigo Sekkel, 2013. "Forecasting with Many Models: Model Confidence Sets and Forecast Combination," Staff Working Papers 13-11, Bank of Canada.
    353. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    354. Abidoye, Babatunde & Odusola, Ayodele, 2015. "Climate Change and Economic Growth in Africa: An Econometric Analysis," UNDP Africa Economists Working Papers 307336, United Nations Development Programme (UNDP).
    355. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2022. "Empirical analysis of the anthropogenic pressure on the mangrove blue carbon-economic growth relationship," TSE Working Papers 22-1307, Toulouse School of Economics (TSE).
    356. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    357. Maltritz, Dominik & Molchanov, Alexander, 2013. "Analyzing determinants of bond yield spreads with Bayesian Model Averaging," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5275-5284.
    358. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "Economic Growth Determinants for European Regions: Is Central and Eastern Europe Different?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 22-37.
    359. Maltritz, Dominik & Molchanov, Alexander, 2014. "Country credit risk determinants with model uncertainty," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 224-234.
    360. Philip Bodman & Kelly-Ana Heaton & Andrew Hodge, "undated". "Fiscal Decentralisation and Economic Growth: A Bayesian Model Averaging Approach," MRG Discussion Paper Series 3509, School of Economics, University of Queensland, Australia.
    361. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks - Implications for their ecosystems," TSE Working Papers 23-1399, Toulouse School of Economics (TSE).
    362. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2013. "Predicting short-term interest rates using Bayesian model averaging: Evidence from weekly and high frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 442-455.
    363. Rachida Ouysse & Chris Nicholas, 2008. "Time Varying Determinants of Cross-Country Growth," Discussion Papers 2008-03, School of Economics, The University of New South Wales.
    364. Hansen, Bruce E., 2008. "Least-squares forecast averaging," Journal of Econometrics, Elsevier, vol. 146(2), pages 342-350, October.
    365. Ding, Sai & Knight, John, 2009. "Can the augmented Solow model explain China's remarkable economic growth? A cross-country panel data analysis," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 432-452, September.
    366. Glocker, Christian & Piribauer, Philipp, 2021. "The determinants of output losses during the Covid-19 pandemic," Economics Letters, Elsevier, vol. 204(C).
    367. Andrés Ramírez-Hassan, 2020. "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, vol. 59(2), pages 909-932, August.
    368. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.
    369. Ulaşan, Bülent, 2011. "Cross-country growth empirics and model uncertainty: An overview," Economics Discussion Papers 2011-37, Kiel Institute for the World Economy (IfW Kiel).
    370. Kluge, Jan & Lappoehn, Sarah & Plank, Kerstin, 2020. "The Determinants of Economic Competitiveness," IHS Working Paper Series 24, Institute for Advanced Studies.
    371. Brock,W.A. & Durlauf,S.N., 2004. "Macroeconomics and model uncertainty," Working papers 20, Wisconsin Madison - Social Systems.
    372. Camarero, Mariam & Moliner, Sergi & Tamarit, Cecilio, 2021. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging," Japan and the World Economy, Elsevier, vol. 57(C).
    373. Blaise Gnimassoun, 2014. "The importance of the exchange rate regime in limiting current account imbalances in sub-Saharan African countries," Working Papers hal-04141342, HAL.
    374. Doppelhofer, Gernot & Hansen, Ole-Petter Moe & Weeks, Melvyn, 2016. "Determinants of long-term economic Growth redux: A Measurement Error Model Averaging (MEMA) approach," Discussion Paper Series in Economics 19/2016, Norwegian School of Economics, Department of Economics.
    375. Miguel A. Negrín & Francisco J. Vázquez-Polo & María Martel & Elías Moreno & Francisco J. Girón, 2010. "Bayesian Variable Selection in Cost-Effectiveness Analysis," IJERPH, MDPI, vol. 7(4), pages 1-20, April.
    376. Laura Recuero Virto & Denis Couvet, 2018. "Economic growth determinants in countries with blue carbon: Natural capital as a limiting factor ?," Working Papers 2018.06, FAERE - French Association of Environmental and Resource Economists.
    377. Valérie Mignon & Carl Grekou & Emmanuelle Faure, 2023. "Current account balances’ divergence in the euro area: an appraisal of the underlying forces," EconomiX Working Papers 2023-3, University of Paris Nanterre, EconomiX.
    378. Jesus Crespo Cuaresma & Gernot Doppelhofer, 2006. "Nonlinearities in Cross-Country Growth Regressions: A Bayesian Averaging of Thresholds (BAT) Approach," Vienna Economics Papers vie0608, University of Vienna, Department of Economics.

  22. Carmen Fernandez & Eduardo Ley & Mark F J Steel, 2001. "Bayesian modelling of catch in a Northwest Atlantic Fishery," Edinburgh School of Economics Discussion Paper Series 67, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Babatunde Abidoye & Joseph Herriges, 2012. "Model Uncertainty in Characterizing Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 251-277, October.
    2. Arnoldo Frigessi & Marit Holden & Clare Marshall & Hildegunn Viljugrein & Nils Chr. Stenseth & Lars Holden & Vladimir Ageyev & Nikolay L. Klassovskiy, 2005. "Bayesian Population Dynamics of Interacting Species: Great Gerbils and Fleas in Kazakhstan," Biometrics, The International Biometric Society, vol. 61(1), pages 230-238, March.
    3. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    4. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    5. Theo Eicher & Jeff Begun, 2008. "In Search of a Sulphur Dioxide Environmental Kuznets Curve: A Bayesian Model Averaging Approach," Working Papers UWEC-2007-19-P, University of Washington, Department of Economics.
    6. Guttman, Irwin & Redondas, María Dolores, 2003. "A bayesian approach for predicting with polynomial regresión of unknown degree," DES - Working Papers. Statistics and Econometrics. WS ws032104, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Yiyun Shou & Michael Smithson, 2015. "Evaluating Predictors of Dispersion: A Comparison of Dominance Analysis and Bayesian Model Averaging," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 236-256, March.

  23. Gary Koop & Mark F J Steel, 1999. "Bayesian Analysis of Stochastic Frontier Models," Edinburgh School of Economics Discussion Paper Series 19, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
    2. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.
    3. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    4. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    5. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    6. Erniel B. Barrios & Rouselle F. Lavado, 2010. "Spatial Stochastic Frontier Models," Microeconomics Working Papers 23091, East Asian Bureau of Economic Research.
    7. William Griffiths, 2002. "A Gibbs’ Sampler for the Parameters of a Truncated Multivariate Normal Distribution," Department of Economics - Working Papers Series 856, The University of Melbourne.
    8. Kelvin_Balcombe & Dirk_Bezemer & Junior_Davis & Iain_Fraser, 2005. "Livelihoods and Farm Efficiency in Rural Georgia," Development and Comp Systems 0502005, University Library of Munich, Germany.
    9. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
    10. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.

  24. Carmen Fernandez & Gary Koop & Mark F J Steel, 1999. "A Bayesian analysis of multiple-output production frontier," Edinburgh School of Economics Discussion Paper Series 21, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Gstach, Dieter, 2005. "Estimating output targets to evaluate output-specific efficiencies: A statistical framework," European Journal of Operational Research, Elsevier, vol. 161(2), pages 564-578, March.
    2. C.J. O’Donnell & K. Nguyen, 2011. "An Econometric Approach To Estimating Support Prices And Measures Of Productivity Change In Public Hospitals," CEPA Working Papers Series WP032011, School of Economics, University of Queensland, Australia.
    3. Forte, Anabel & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2015. "Does social capital matter for European regional growth?," European Economic Review, Elsevier, vol. 77(C), pages 47-64.
    4. Lise Tole & Gary Koop, 2011. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," Working Papers 11-36, University of Strathclyde Business School, Department of Economics.
    5. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October.
    6. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.
    7. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    8. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    9. Arne Henningsen & Matěj Bělín & Géraldine Henningsen, 2017. "New insights into the stochastic ray production frontier," IFRO Working Paper 2017/01, University of Copenhagen, Department of Food and Resource Economics.
    10. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    11. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    12. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    13. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    14. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    15. Robertson R. B. Khataza & Atakelty Hailu & Marit E. Kragt & Graeme J. Doole, 2017. "Estimating shadow price for symbiotic nitrogen and technical efficiency for legume-based conservation agriculture in Malawi," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 462-480, July.
    16. Areal, Francisco J. & Jones, Philip J. & Mortimer, Simon R. & Wilson, Paul, 2018. "Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production," Land Use Policy, Elsevier, vol. 75(C), pages 314-326.
    17. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    18. Lota D. Tamini & Bruno Larue & Gale West, 2012. "Technical and environmental efficiencies and best management practices in agriculture," Applied Economics, Taylor & Francis Journals, vol. 44(13), pages 1659-1672, May.
    19. Marconi, G. & Ritzen, J., 2014. "Money counts for a Times Higher Education top-rank," Research Memorandum 015, Maastricht University, Graduate School of Business and Economics (GSBE).
    20. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    21. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    22. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
    23. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    24. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    25. C. O’Donnell, 2014. "Econometric estimation of distance functions and associated measures of productivity and efficiency change," Journal of Productivity Analysis, Springer, vol. 41(2), pages 187-200, April.
    26. Khataza, Robertson R.B. & Hailu, Atakelty & Kragt, Marit E. & Doole, Graeme, 2017. "The opportunity costs of enhancing legume‐based sustainable agricultural intensification practices in Malawi," 2017 Conference (61st), February 7-10, 2017, Brisbane, Australia 258672, Australian Agricultural and Resource Economics Society.
    27. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    28. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    29. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
    30. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(01), pages 1-15, March.
    31. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    32. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    33. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    34. Lota D. Tamini & Bruno Larue & Gale E. West & Moise K.Ndegue Fongue, 2016. "Agricultural production and pollutant runoffs in QuŽbecÕs Chaudi re river watershed: what are the potential environmental gains?," Cahiers de recherche CREATE 2016-2, CREATE.
    35. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.

  25. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    2. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    3. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    4. Jung, Yeun Ji & Hobert, James P., 2014. "Spectral properties of MCMC algorithms for Bayesian linear regression with generalized hyperbolic errors," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 92-100.
    5. Saverio Ranciati & Giuliano Galimberti & Gabriele Soffritti, 2019. "Bayesian variable selection in linear regression models with non-normal errors," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(2), pages 323-358, June.
    6. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions," Econometrics 0403001, University Library of Munich, Germany.
    7. Daniel R. Kowal & David S. Matteson & David Ruppert, 2019. "Functional Autoregression for Sparsely Sampled Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 97-109, January.
    8. Doppelhofer, G. & Weeks, M., 2011. "Robust Growth Determinants," Cambridge Working Papers in Economics 1117, Faculty of Economics, University of Cambridge.
    9. Li, Haoxiang & Qin, Qian & Jones, Galin L., 2024. "Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
    10. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    11. Guodong Shan & Yiheng Hou & Baisen Liu, 2020. "Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions," Computational Statistics, Springer, vol. 35(4), pages 2077-2092, December.
    12. Heinen, Andréas & Valdesogo, Alfonso, 2020. "Spearman rank correlation of the bivariate Student t and scale mixtures of normal distributions," Journal of Multivariate Analysis, Elsevier, vol. 179(C).
    13. De la Cruz, Rolando, 2008. "Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 436-449, December.
    14. Abanto-Valle, C.A. & Bandyopadhyay, D. & Lachos, V.H. & Enriquez, I., 2010. "Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2883-2898, December.
    15. Fengkai Yang & Haijing Yuan, 2017. "A Non-iterative Bayesian Sampling Algorithm for Linear Regression Models with Scale Mixtures of Normal Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 579-597, April.
    16. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.
    17. Rubio, Francisco Javier & Steel, Mark F. J., 2014. "Bayesian modelling of skewness and kurtosis with two-piece scale and shape transformations," MPRA Paper 57102, University Library of Munich, Germany.
    18. Vilca, Filidor & Balakrishnan, N. & Zeller, Camila Borelli, 2014. "A robust extension of the bivariate Birnbaum–Saunders distribution and associated inference," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 418-435.
    19. Jorge A. Barahona & Yolanda M. Gómez & Emilio Gómez-Déniz & Osvaldo Venegas & Héctor W. Gómez, 2024. "Scale Mixture of Exponential Distribution with an Application," Mathematics, MDPI, vol. 12(1), pages 1-17, January.
    20. Yongho Ko & Seungwoo Han, 2017. "A Duration Prediction Using a Material-Based Progress Management Methodology for Construction Operation Plans," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    21. Rubio, Francisco Javier & Liseo, Brunero, 2014. "On the independence Jeffreys prior for skew-symmetric models," Statistics & Probability Letters, Elsevier, vol. 85(C), pages 91-97.
    22. Salas-Gonzalez, Diego & Kuruoglu, Ercan E. & Ruiz, Diego P., 2009. "A heavy-tailed empirical Bayes method for replicated microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1535-1546, March.

  26. Eduardo Ley & Mark F J Steel, 1999. "We have just averaged over two trillion cross-country growth regressions," Edinburgh School of Economics Discussion Paper Series 43, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Stéphane Straub, 2000. "Factores determinantes empíricos de las buenas instituciones: ¿sabemos algo a ciencia cierta?," Research Department Publications 4216, Inter-American Development Bank, Research Department.
    2. Stéphane Straub, 2000. "Empirical Determinants of Good Institutions: Do We Know Anything?," Research Department Publications 4215, Inter-American Development Bank, Research Department.
    3. Fabrizio Carmignani, 2001. "Theory and Evidence on the Political Economy of Growth," Working Papers 33, University of Milano-Bicocca, Department of Economics, revised Jan 2001.
    4. Christie Smith, 2004. "The long-run effects of monetary policy on output growth," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 67, September.
    5. Fabrizio Carmignani, 2003. "Political Instability, Uncertainty and Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 17(1), pages 1-54, February.
    6. Gregory N. Price, 2003. "Economic Growth in a Cross‐section of Nonindustrial Countries: Does Colonial Heritage Matter for Africa?," Review of Development Economics, Wiley Blackwell, vol. 7(3), pages 478-495, August.

  27. Mr. Mark F. J. Steel & Mr. Eduardo Ley, 1999. "We Just Averaged over Two Trillion Cross-Country Growth Regressions," IMF Working Papers 1999/101, International Monetary Fund.

    Cited by:

    1. Stéphane Straub, 2000. "Factores determinantes empíricos de las buenas instituciones: ¿sabemos algo a ciencia cierta?," Research Department Publications 4216, Inter-American Development Bank, Research Department.
    2. Escaith, Hubert & Morley, Samuel, 2001. "El efecto de las reformas estructurales en el crecimiento económico de la América Latina y el Caribe. Una estimación empírica," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(272), pages 469-513, octubre-d.
    3. Stéphane Straub, 2000. "Empirical Determinants of Good Institutions: Do We Know Anything?," Research Department Publications 4215, Inter-American Development Bank, Research Department.
    4. Fabrizio Carmignani, 2001. "Theory and Evidence on the Political Economy of Growth," Working Papers 33, University of Milano-Bicocca, Department of Economics, revised Jan 2001.
    5. Christie Smith, 2004. "The long-run effects of monetary policy on output growth," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 67, September.
    6. Operations Evaluation Department, 2004. "2003 Annual Review of Development Effectiveness : The Effectiveness of Bank Support for Policy Reform," World Bank Publications - Books, The World Bank Group, number 14925.
    7. Fabrizio Carmignani, 2003. "Political Instability, Uncertainty and Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 17(1), pages 1-54, February.
    8. Escaith, Hubert & Morley, Samuel A., 2000. "The impact of structural reforms on growth in Latin America and the Caribbean: an empirical estimation," Macroeconomía del Desarrollo 5331, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Gregory N. Price, 2003. "Economic Growth in a Cross‐section of Nonindustrial Countries: Does Colonial Heritage Matter for Africa?," Review of Development Economics, Wiley Blackwell, vol. 7(3), pages 478-495, August.

  28. Carmen Fernandez & Mark F J Steel, 1998. "On the dangers of modelling through continuous distributions: A Bayesian perspective," Edinburgh School of Economics Discussion Paper Series 22, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Cristiano Villa, 2017. "Bayesian estimation of the threshold of a generalised pareto distribution for heavy-tailed observations," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 95-118, March.
    2. Vallejos, Catalina A. & Steel, Mark F.J., 2017. "Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach," Econometrics and Statistics, Elsevier, vol. 3(C), pages 73-88.

  29. Carmen Fernandez & Eduardo Ley & Mark F J Steel, 1998. "Benchmark priors for Bayesian model averaging," Edinburgh School of Economics Discussion Paper Series 26, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    2. Adam Gersl & Jitka Lesanovska, 2013. "Explaining the Czech Interbank Market Risk Premium," Working Papers 2013/01, Czech National Bank.
    3. Eris, Mehmet, 2010. "Population heterogeneity and growth," Economic Modelling, Elsevier, vol. 27(5), pages 1211-1222, September.
    4. Camba-Méndez, Gonzalo & Werner, Thomas, 2017. "The inflation risk premium in the post-Lehman period," Working Paper Series 2033, European Central Bank.
    5. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    6. António Afonso & José Alves & Krzysztof Beck, 2022. "Pay and Unemployment Determinants of Migration Flows in the European Union," CESifo Working Paper Series 10131, CESifo.
    7. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    8. James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
    9. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Online Appendix to "Intertemporal Substitution in Labor Supply: A Meta-Analysis"," Online Appendices 23-196, Review of Economic Dynamics.
    10. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    11. Minerva Mukhopadhyay & Tapas Samanta, 2017. "A mixture of g-priors for variable selection when the number of regressors grows with the sample size," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 377-404, June.
    12. Tim Salimans, 2011. "Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions," Tinbergen Institute Discussion Papers 11-012/4, Tinbergen Institute.
    13. Havranek, Tomas & Horvath, Roman & Irsova, Zuzana & Rusnak, Marek, 2015. "Cross-country heterogeneity in intertemporal substitution," Journal of International Economics, Elsevier, vol. 96(1), pages 100-118.
    14. Ayman A. Amin & Saeed A. Alghamdi, 2023. "Bayesian Identification Procedure for Triple Seasonal Autoregressive Models," Mathematics, MDPI, vol. 11(18), pages 1-13, September.
    15. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    16. Carl Grekou, 2015. "Currency misalignments and economic growth: the foreign currency-denominated debt channel," Working Papers hal-04141399, HAL.
    17. Guarin, Alexander & Lozano, Ignacio, 2017. "Credit funding and banking fragility: A forecasting model for emerging economies," Emerging Markets Review, Elsevier, vol. 32(C), pages 168-189.
    18. Peter Grundke & Kamil Pliszka & Michael Tuchscherer, 2020. "Model and estimation risk in credit risk stress tests," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 163-199, July.
    19. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    20. Jos頄aniel Buend𨁁zor󸀍 & Mar𨁤el Mar Sᮣhez de la Vega, 2015. "Human capital effects on labour productivity in EU regions," Applied Economics, Taylor & Francis Journals, vol. 47(45), pages 4814-4828, September.
    21. Mr. Eugenio M Cerutti & Mr. Stijn Claessens & Mr. Damien Puy, 2015. "Push Factors and Capital Flows to Emerging Markets: Why Knowing Your Lender Matters More Than Fundamentals," IMF Working Papers 2015/127, International Monetary Fund.
    22. Emanuela Ciapanna & Marco Taboga, 2019. "Bayesian Analysis of Coefficient Instability in Dynamic Regressions," Econometrics, MDPI, vol. 7(3), pages 1-32, June.
    23. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    24. Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group.
    25. Schrimpf, Andreas, 2008. "International Stock Return Predictability Under Model Uncertainty," ZEW Discussion Papers 08-048, ZEW - Leibniz Centre for European Economic Research.
    26. Rachida Ouysse, 2011. "Comparison of Bayesian moving Average and Principal Component Forecast for Large Dimensional Factor Models," Discussion Papers 2012-03, School of Economics, The University of New South Wales.
    27. Jesús Crespo-Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "The Determinants of Economic Growth in European Regions," CESifo Working Paper Series 2519, CESifo.
    28. Roman Horváth, 2012. "Does Trust Promote Growth?," Working Papers 319, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    29. Chen Ray-Bing & Chen Yi-Chi & Chu Chi-Hsiang & Lee Kuo-Jung, 2017. "On the determinants of the 2008 financial crisis: a Bayesian approach to the selection of groups and variables," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-17, December.
    30. Moral-Benito, Enrique, 2009. "Determinants of Economic Growth: A Bayesian Panel Data Approach," Policy Research Working Paper Series 4830, The World Bank.
    31. Geerte Cotteleer & Tracy Stobbe & G. Cornelis van Kooten, 2011. "Bayesian Model Averaging In The Context Of Spatial Hedonic Pricing: An Application To Farmland Values," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 540-557, August.
    32. David Dollar & Tatjana Kleineberg & Aart Kraay, 2014. "Growth, Inequality, and Social Welfare: Cross-Country Evidence," LIS Working papers 626, LIS Cross-National Data Center in Luxembourg.
    33. Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021. "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers 457, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    34. Valérie Mignon & Carl Grekou & Emmanuelle Faure, 2023. "Current account balances’ divergence in the euro area: an appraisal of the underlying forces," Working Papers hal-04159836, HAL.
    35. Florian Morvillier, 2019. "Do currency undervaluations affect the impact of inflation on growth?," Post-Print hal-02138677, HAL.
    36. Kapetanios, George, 2007. "Variable selection in regression models using nonstandard optimisation of information criteria," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 4-15, September.
    37. Eriṣ, Mehmet N. & Ulaṣan, Bülent, 2013. "Trade openness and economic growth: Bayesian model averaging estimate of cross-country growth regressions," Economic Modelling, Elsevier, vol. 33(C), pages 867-883.
    38. Dimitris Korobilis, 2008. "Forecasting in vector autoregressions with many predictors," Advances in Econometrics, in: Bayesian Econometrics, pages 403-431, Emerald Group Publishing Limited.
    39. Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
    40. Markku Lanne & Jani Luoto, 2014. "Does Output Gap, Labour's Share or Unemployment Rate Drive Inflation?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 715-726, October.
    41. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney, 2012. "Bayesian model averaging in the instrumental variable regression model," Journal of Econometrics, Elsevier, vol. 171(2), pages 237-250.
    42. Dimitris Korobilis, 2012. "Bayesian forecasting with highly correlated predictors," Working Papers 2012_12, Business School - Economics, University of Glasgow.
    43. Tomáš Havránek & Zuzana Iršová, 2011. "How to Stir Up FDI Spillovers: Evidence from a Large Meta-Analysis," Working Papers IES 2011/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2011.
    44. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    45. Davide fiaschi & Angela Parenti, 2013. "An Estimate of the Degree of Interconnectedness between European Regions: A Bayesian Model Averaging Approach," Discussion Papers 2013/171, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    46. Eicher, Theo S. & Kawai, Reina, 2024. "Systemic bias of IMF reserve and debt forecasts for program countries," International Journal of Forecasting, Elsevier, vol. 40(3), pages 985-1001.
    47. Carmen Fernandez & Eduardo Ley & Mark F J Steel, 2001. "Bayesian modelling of catch in a Northwest Atlantic Fishery," Edinburgh School of Economics Discussion Paper Series 67, Edinburgh School of Economics, University of Edinburgh.
    48. Enrico Petretto & Leonardo Bottolo & Sarah R Langley & Matthias Heinig & Chris McDermott-Roe & Rizwan Sarwar & Michal Pravenec & Norbert Hübner & Timothy J Aitman & Stuart A Cook & Sylvia Richardson, 2010. "New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-13, April.
    49. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," NBER Working Papers 10025, National Bureau of Economic Research, Inc.
    50. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    51. Rios, Vicente, 2019. "New Evidence on the Size and Drivers of the Shadow Economy in Spain: A Model Averaging Approach," MPRA Paper 97504, University Library of Munich, Germany.
    52. Dollar, David & Kleineberg, Tatjana & Kraay, Aart, 2013. "Growth still is good for the poor," Policy Research Working Paper Series 6568, The World Bank.
    53. Michael K. Andersson & Sune Karlsson, 2008. "Bayesian forecast combination for VAR models," Advances in Econometrics, in: Bayesian Econometrics, pages 501-524, Emerald Group Publishing Limited.
    54. Njindan Iyke, Bernard, 2015. "Macro Determinants of the Real Exchange Rate in a Small Open Small Island Economy: Evidence from Mauritius via BMA," MPRA Paper 68968, University Library of Munich, Germany.
    55. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    56. Kapetanios, G. & Labhard, V. & Price, S., 2007. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Working Papers 07/15, Department of Economics, City University London.
    57. Tomas Havranek & Zuzana Irsova & Dominik Herman, 2016. "Does Daylight Saving Save Energy? A Meta-Analysis," Working Papers IES 2016/24, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2016.
    58. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2024. "Where Have All the Alphas Gone? A Meta-Analysis of Hedge Fund Performance," Working Papers IES 2024/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2024.
    59. Josef Bajzik & Tomas Havranek & Zuzana Irsova & Jiri Schwarz, 2019. "Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias," Working Papers IES 2019/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2019.
    60. Zhang, Xinyu & Liu, Chu-An, 2023. "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, vol. 235(1), pages 280-301.
    61. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    62. Branimir Jovanovic, 2013. "Growth Forecast Errors and Government Investment and Consumption Multipliers," CEIS Research Paper 301, Tor Vergata University, CEIS, revised 17 Dec 2013.
    63. Lučivjanská, Katarína & Lyócsa, Štefan & Radvanský, Marek & Širaňová, Mária, 2022. "Return adjusted charge ratios: What drives fees and costs of pension schemes?," Finance Research Letters, Elsevier, vol. 48(C).
    64. Horvath, Roman, 2011. "Research & development and growth: A Bayesian model averaging analysis," Economic Modelling, Elsevier, vol. 28(6), pages 2669-2673.
    65. David Ardia & Arnaud Dufays & Carlos Ordás Criado, 2024. "Linking Frequentist and Bayesian Change-Point Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1155-1168, October.
    66. Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.
    67. Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    68. Sousa, João & Sousa, Ricardo M., 2013. "Asset returns under model uncertainty: evidence from the euro area, the U.S. and the U.K," Working Paper Series 1575, European Central Bank.
    69. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    70. Tomas Havranek, Dominik Herman, and Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    71. Griffin, John M. & Kruger, Samuel & Maturana, Gonzalo, 2021. "What drove the 2003–2006 house price boom and subsequent collapse? Disentangling competing explanations," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1007-1035.
    72. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    73. Perrakis, Konstantinos & Ntzoufras, Ioannis & Tsionas, Efthymios G., 2014. "On the use of marginal posteriors in marginal likelihood estimation via importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 54-69.
    74. Jakub Nowotarski, 2013. "Short-term forecasting of electricity spot prices using model averaging (Krótkoterminowe prognozowanie spotowych cen energii elektrycznej z wykorzystaniem uśredniania modeli)," HSC Research Reports HSC/13/17, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    75. Chris Doucouliagos & Jakob de Haan & Jan-Egbert Sturm, 2022. "What drives financial development? A Meta-regression analysis [A new database of financial reforms]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 840-868.
    76. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    77. Babecký, Jan & Havránek, Tomáš & Matĕjů, Jakub & Rusnák, Marek & Šmídková, Kateřina & Vašíček, Bořek, 2012. "Leading indicators of crisis incidence: evidence from developed countries," Working Paper Series 1486, European Central Bank.
    78. Ostry, Jonathan D. & Furceri, Davide & Ganslmeier, Michael & Yang, Naihan, 2021. "Initial Output Losses from the Covid-19 Pandemic: Robust Determinants," CEPR Discussion Papers 15892, C.E.P.R. Discussion Papers.
    79. Roberto Leon-Gonzalez & Daniel Montolio, 2004. "Growth, convergence and public investment. A Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1925-1936.
    80. Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," BIS Working Papers 374, Bank for International Settlements.
    81. Osbat, Chiara & Zollino, Francesco & Aiello, Giovanni & Bluhm, Benjamin & Buelens, Christian & Cavallini, Flavia & Joseph, Andreas & Leonte, Alexandru & Lommatzsch, Kirsten & Momchilov, Georgi & Giord, 2015. "Compendium on the diagnostic toolkit for competitiveness," Occasional Paper Series 163, European Central Bank.
    82. Theo Eicher & Cecilia Garcia-Peñalosa & David Kuenzel, 2018. "Constitutional rules as determinants of social infrastructure," Post-Print hal-01981017, HAL.
    83. Pham, Thi Hong Hanh, 2017. "Impacts of globalization on the informal sector: Empirical evidence from developing countries," Economic Modelling, Elsevier, vol. 62(C), pages 207-218.
    84. Min Wang & Xiaoqian Sun & Tao Lu, 2015. "Bayesian structured variable selection in linear regression models," Computational Statistics, Springer, vol. 30(1), pages 205-229, March.
    85. Jana Eklund & Sune Karlsson, 2007. "Forecast Combination and Model Averaging Using Predictive Measures," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
    86. Carmen Fernandez & Eduardo Ley & Mark Steel, 1999. "Model uncertainty in cross-country growth regressions," Econometrics 9903003, University Library of Munich, Germany, revised 06 Oct 2001.
    87. Posch, Konstantin & Arbeiter, Maximilian & Pilz, Juergen, 2020. "A novel Bayesian approach for variable selection in linear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    88. Katrin Wölfel & Christoph S. Weber, 2017. "Searching for the Fed’s reaction function," Empirical Economics, Springer, vol. 52(1), pages 191-227, February.
    89. Matousek, Jindrich & Havranek, Tomas & Irsova, Zuzana, 2019. "Individual Discount Rates: A Meta-Analysis of Experimental Evidence," EconStor Preprints 194617, ZBW - Leibniz Information Centre for Economics.
    90. Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2005. "Measuring the impact of R&D on Productivity from a Econometric Time Series Perspective," Journal of Productivity Analysis, Springer, vol. 24(1), pages 49-72, September.
    91. Theo S. Eicher & Charis Christofides & Chris Papageorgiou, 2012. "Did Established Early Warning Signals Predict the 2008 Crises?," Working Papers UWEC-2012-05, University of Washington, Department of Economics.
    92. Damien PUY, 2013. "Institutional Investors Flows and the Geography of Contagion," Economics Working Papers ECO2013/06, European University Institute.
    93. Charemza, Wojciech W. & Strachan, Rodney & Zurawski, Piotr, 2010. "False posteriors for the long-term growth determinants," Economics Letters, Elsevier, vol. 109(3), pages 144-146, December.
    94. Cheng, Xu & Hansen, Bruce E., 2015. "Forecasting with factor-augmented regression: A frequentist model averaging approach," Journal of Econometrics, Elsevier, vol. 186(2), pages 280-293.
    95. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2007. "Bayesian Inference in a Cointegrating Panel Data Model," Working Paper series 02_07, Rimini Centre for Economic Analysis.
    96. Branimir Jovanovic, 2012. "How Policy Actions Affect Short-term Post-crisis Recovery?," CEIS Research Paper 253, Tor Vergata University, CEIS, revised 05 Oct 2012.
    97. David Kaplan, 2021. "On the Quantification of Model Uncertainty: A Bayesian Perspective," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 215-238, March.
    98. Balázs Egert & Fredj Jawadi, 2018. "The Nonlinear Relationship between Economic growth and Financial Development," EconomiX Working Papers 2018-26, University of Paris Nanterre, EconomiX.
    99. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
    100. Ericsson, Johan & Karlsson, Sune, 2003. "Choosing Factors in a Multifactor Asset Pricing Model: A Bayesian Approach," SSE/EFI Working Paper Series in Economics and Finance 524, Stockholm School of Economics, revised 12 Feb 2004.
    101. Endrész, Marianna & Skudelny, Frauke, 2016. "Crisis severity and the international trade network," Working Paper Series 1971, European Central Bank.
    102. Andrew Q. Philips, 2016. "Seeing the forest through the trees: a meta-analysis of political budget cycles," Public Choice, Springer, vol. 168(3), pages 313-341, September.
    103. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    104. Ciccarelli, Matteo & Mojon, Benoît, 2006. "Global Inflation," Kiel Working Papers 1337, Kiel Institute for the World Economy (IfW Kiel).
    105. Krzysztof Beck & Ntokozo Patrick Nzimande, 2023. "Labor mobility and business cycle synchronization in Southern Africa," Economic Change and Restructuring, Springer, vol. 56(1), pages 159-179, February.
    106. Doppelhofer, G. & Weeks, M., 2011. "Robust Growth Determinants," Cambridge Working Papers in Economics 1117, Faculty of Economics, University of Cambridge.
    107. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    108. Morvillier, Florian, 2020. "Do currency undervaluations affect the impact of inflation on growth?," Economic Modelling, Elsevier, vol. 84(C), pages 275-292.
    109. Liao, Jun & Zou, Guohua, 2020. "Corrected Mallows criterion for model averaging," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    110. Ley, Eduardo & Steel, Mark F. J., 2006. "Jointness in Bayesian variable selection with applications to growth regression," Policy Research Working Paper Series 4063, The World Bank.
    111. Jesus Crespo Cuaresma, 2010. "Natural Disasters and Human Capital Accumulation," The World Bank Economic Review, World Bank, vol. 24(2), pages 280-302, July.
    112. James LeSage, 2015. "Software for Bayesian cross section and panel spatial model comparison," Journal of Geographical Systems, Springer, vol. 17(4), pages 297-310, October.
    113. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 604, Banco de la Republica de Colombia.
    114. Sutter, Ryan, 2008. "The Existence of Positive Psychological Environments and Their Impact on Regional Entrepreneurship," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-14.
    115. Jan Babecky & Tomas Havranek, 2013. "Structural Reforms and Growth in Transition: A Meta-Analysis," Working Papers IES 2013/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2013.
    116. Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Other publications TiSEM 20eee0e0-9a7e-40e2-8b1a-b, Tilburg University, School of Economics and Management.
    117. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    118. Liu, Yang & Luan, Lin & Wu, Weilong & Zhang, Zhiqiang & Hsu, Yen, 2021. "Can digital financial inclusion promote China's economic growth?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    119. Moiseev, Nikita & Volodin, Andrei, 2019. "Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 119-137.
    120. Karol Szafranek & Michał Rubaszek & Gazi Salah Uddin, 2023. "The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets," KAE Working Papers 2023-095, Warsaw School of Economics, Collegium of Economic Analysis.
    121. Gross, Jonas & Zahner, Johannes, 2021. "What is on the ECB’s mind? Monetary policy before and after the global financial crisis," Journal of Macroeconomics, Elsevier, vol. 68(C).
    122. Diana Zigraiova & Tomas Havranek & Jiri Novak, 2020. "How puzzling is the forward premium puzzle? A meta-analysis," Working Papers 46, European Stability Mechanism.
    123. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
    124. K. J. Martijn Cremers, 2002. "Stock Return Predictability: A Bayesian Model Selection Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1223-1249.
    125. César Salinas Depaz & Wilder Pérez Condor & Ricardo Najarro Chuchón, 2019. "Determinantes de la Diversificación Exportadora: Enfoque Bayesiano," Revista de Análisis Económico y Financiero, Universidad de San Martín de Porres, vol. 1(02), pages 23-35.
    126. Wachter, Jessica A. & Warusawitharana, Missaka, 2015. "What is the chance that the equity premium varies over time? Evidence from regressions on the dividend-price ratio," Journal of Econometrics, Elsevier, vol. 186(1), pages 74-93.
    127. Chris Papageorgiou & Winford H. Masanjala, 2006. "Initial Conditions, European Colonialism and Africa's Growth," Departmental Working Papers 2006-01, Department of Economics, Louisiana State University.
    128. Dimitris Korobilis & Kenichi Shimizu, 2021. "Bayesian Approaches to Shrinkage and Sparse Estimation," Working Papers 2021_19, Business School - Economics, University of Glasgow.
    129. Piribauer, Philipp & Fischer, Manfred M., 2014. "Model uncertainty in matrix exponential spatial growth regression models," MPRA Paper 77548, University Library of Munich, Germany.
    130. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    131. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    132. Amil Dasgupta & Roberto Leon-Gonzalez & Anja Shortland, 2010. "Regionality Revisited: An Examination of the Direction of Spread of Currency Crisis," Discussion Papers of DIW Berlin 1023, DIW Berlin, German Institute for Economic Research.
    133. Huigang Chen & Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides, 2011. "Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model," IMF Working Papers 2011/230, International Monetary Fund.
    134. Martin Feldkircher, 2012. "Forecast Combination and Bayesian Model Averaging: A Prior Sensitivity Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(4), pages 361-376, July.
    135. Roberto Leon-Gonzalez & Thanabalasingam Vinayagathasan, 2013. "Robust Determinants of Growth in Asian Developing Economies: A Bayesian Panel Data Model Averaging Approach," GRIPS Discussion Papers 13-12, National Graduate Institute for Policy Studies.
    136. Melián-González, Arturo & Moreno-Gil, Sergio & Araña, Jorge E., 2011. "Gay tourism in a sun and beach destination," Tourism Management, Elsevier, vol. 32(5), pages 1027-1037.
    137. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    138. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    139. Carl Grekou, 2015. "Currency misalignments and economic growth: the foreign currency-denominated debt channel," EconomiX Working Papers 2015-23, University of Paris Nanterre, EconomiX.
    140. Luca Onorante & Adrian E. Raftery, 2014. "Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window," Papers 1410.7799, arXiv.org.
    141. Jan Babecky & Tomas Havranek, 2014. "Structural reforms and growth in transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 13-42, January.
    142. Leroi Raputsoane, 2014. "Disaggregated Credit Extension and Financial Distress in South Africa," Working Papers 435, Economic Research Southern Africa.
    143. Fantazzini, Dean & Shakleina, Marina & Yuras, Natalia, 2018. "Big Data for computing social well-being indices of the Russian population," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 43-66.
    144. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    145. Hans, Christopher M. & Peruggia, Mario & Wang, Junyan, 2023. "Empirical Bayes Model Averaging with Influential Observations: Tuning Zellner’s g Prior for Predictive Robustness," Econometrics and Statistics, Elsevier, vol. 27(C), pages 102-119.
    146. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    147. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2008. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Economic Journal, Royal Economic Society, vol. 118(530), pages 1128-1144, July.
    148. Sweata Sen & Damitri Kundu & Kiranmoy Das, 2023. "Variable selection for categorical response: a comparative study," Computational Statistics, Springer, vol. 38(2), pages 809-826, June.
    149. J Korosteleva & Colin Lawson, 2009. "The Belarusian Case of Transition: Whither Financial Repression?," Department of Economics Working Papers 4/09, University of Bath, Department of Economics.
    150. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    151. Kang, Shuaimin & Wang, Min & Lu, Tao, 2015. "On the consistency of the objective Bayes factor for the integral priors in the one-way random effects model," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 17-23.
    152. Gernot Doppelhofer & Xavier Sala I Martin & Melvyn Weeks, 2005. "Jointness of Determinants of Economics Growth," Money Macro and Finance (MMF) Research Group Conference 2005 54, Money Macro and Finance Research Group.
    153. Crespo Cuaresma, Jesus & von Schweinitz, Gregor & Wendt, Katharina, 2019. "On the empirics of reserve requirements and economic growth," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 253-274.
    154. Rodney W. Strachan & Herman K. van Dijk, 2014. "Divergent Priors and Well Behaved Bayes Factors," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(1), pages 1-31, March.
    155. Feldkircher, Martin & Horvath, Roman & Rusnak, Marek, 2014. "Exchange market pressures during the financial crisis: A Bayesian model averaging evidence," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 21-41.
    156. Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
    157. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    158. Puy, Damien, 2016. "Mutual funds flows and the geography of contagion," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 73-93.
    159. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    160. Theo Eicher & Chris Papageogiou & Adrian E Raftery, 2007. "Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants," Working Papers UWEC-2007-25-P, University of Washington, Department of Economics.
    161. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    162. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    163. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    164. João Sousa & Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Eveidence from the euro area, the U.K and the U.S," NIPE Working Papers 21/2011, NIPE - Universidade do Minho.
    165. Barigou, Karim & Goffard, Pierre-Olivier & Loisel, Stéphane & Salhi, Yahia, 2023. "Bayesian model averaging for mortality forecasting using leave-future-out validation," International Journal of Forecasting, Elsevier, vol. 39(2), pages 674-690.
    166. Carlos Aller & Lorenzo Ductor & Daryna Grechyna, 2020. "Robust Determinants of CO2 Emissions," ThE Papers 20/13, Department of Economic Theory and Economic History of the University of Granada..
    167. Kapetanios, George & Marcellino, Massimiliano & Papailias, Fotis, 2016. "Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 369-382.
    168. Andros Kourtellos & Christa Marr & Chih Ming Tan, 2014. "Robust Determinants of Intergenerational Mobility in the Land of Opportunity," University of Cyprus Working Papers in Economics 07-2014, University of Cyprus Department of Economics.
    169. Ouysse, Rachida, 2016. "Bayesian model averaging and principal component regression forecasts in a data rich environment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 763-787.
    170. Todd E. Clark & Michael W. McCracken, 2009. "Combining Forecasts from Nested Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 303-329, June.
    171. Luo, Jiawen & Klein, Tony & Walther, Thomas & Ji, Qiang, 2021. "Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning," QBS Working Paper Series 2021/04, Queen's University Belfast, Queen's Business School.
    172. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank.
    173. Negri­n, Miguel A. & Vázquez-Polo, Francisco-José, 2008. "Incorporating model uncertainty in cost-effectiveness analysis: A Bayesian model averaging approach," Journal of Health Economics, Elsevier, vol. 27(5), pages 1250-1259, September.
    174. Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides & Huigang Chen, 2009. "Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods," IMF Working Papers 2009/074, International Monetary Fund.
    175. Sara D'Andrea, 2022. "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, CEPII research center, issue 171, pages 143-173.
    176. Rosa Capolupo, 2005. "THE NEW GROWTH THEORIES AND THEIR EMPIRICS, Discussion Paper in Economics, University of Glasgow, N. 2005-04 (http://www.gla.ac.uk/Acad/Economics," GE, Growth, Math methods 0506003, University Library of Munich, Germany.
    177. Prüfer, P. & Tondl, G., 2008. "The FDI-Growth Nexus in Latin America : The Role of Source Countries and Local Conditions," Other publications TiSEM 73b28850-1597-4bcb-a76c-1, Tilburg University, School of Economics and Management.
    178. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
    179. Roman Horváth & Kateøina Šmídková & Jan Zápal & Marek Rusnák, 2012. "Dissent Voting Behavior of Central Bankers: What Do We Really Know?," Working Papers IES 2012/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    180. Ruggieri, Eric & Lawrence, Charles E., 2012. "On efficient calculations for Bayesian variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1319-1332.
    181. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    182. Francis Neville & Owyang Michael T. & Sekhposyan Tatevik, 2012. "The Local Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(2), pages 1-38, March.
    183. Vašíček, Bořek & Žigraiová, Diana & Hoeberichts, Marco & Vermeulen, Robert & Šmídková, Kateřina & de Haan, Jakob, 2017. "Leading indicators of financial stress: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 240-257.
    184. Omar Essardi & Redouane Razzouk, 2017. "Human Capital and Economic Growth in Morocco: Evidence from Bayesian Model Averaging," International Business Research, Canadian Center of Science and Education, vol. 10(12), pages 167-182, December.
    185. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    186. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    187. Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.
    188. Jan Babecký & Tomáš Havránek & Jakub Matìjù & Marek Rusnák & Kateøina Šmídková & Boøek Vašíèek, 2011. "Early Warning Indicators of Crisis Incidence: Evidence from a Panel of 40 Developed Countries," Working Papers IES 2011/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
    189. Cécile Couharde & Carl Grekou & Valérie Mignon, 2020. "MULTIPRIL, a new database on multilateral price levels and currency misalignments," Working Papers 2020-12, CEPII research center.
    190. Jesus Crespo Cuaresma & Oscar Fernandez, 2023. "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Papers wuwp344, Vienna University of Economics and Business, Department of Economics.
    191. Robert Johnston & Klaus Moeltner, 2014. "Meta-Modeling and Benefit Transfer: The Empirical Relevance of Source-Consistency in Welfare Measures," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 337-361, November.
    192. Tomas Havranek & Zuzana Irsova, 2015. "Do Borders Really Slash Trade? A Meta-Analysis," Working Papers 2015/01, Czech National Bank.
    193. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
    194. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MPRA Paper 102598, University Library of Munich, Germany.
    195. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    196. Błażejowski, Marcin & Gazda, Jakub & Kwiatkowski, Jacek, 2016. "Bayesian Model Averaging in the Studies on Economic Growth in the EU Regions – Application of the gretl BMA package," MPRA Paper 89366, University Library of Munich, Germany, revised Oct 2016.
    197. Jesús Crespo Cuaresma & Martin Feldkircher, 2013. "Spatial Filtering, Model Uncertainty And The Speed Of Income Convergence In Europe," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 720-741, June.
    198. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    199. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2008. "Bayesian inference in a cointegrating panel data model," Advances in Econometrics, in: Bayesian Econometrics, pages 433-469, Emerald Group Publishing Limited.
    200. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    201. Laure de Batz & Evžen Kočenda & Evžen Kocenda, 2023. "Financial Crime and Punishment: A Meta-Analysis," CESifo Working Paper Series 10528, CESifo.
    202. Leamer, Edward E., 2016. "S-values and Bayesian weighted all-subsets regressions," European Economic Review, Elsevier, vol. 81(C), pages 15-31.
    203. Khanal, Aditya R. & Mishra, Ashok K. & Lambert, Dayton M. & Paudel, Krishna P., 2013. "A Bayesian Analysis of GPS Guidance System in Precision Agriculture: The Role of Expectations," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150421, Agricultural and Applied Economics Association.
    204. Yu-chin Chen & Kenneth Rogoff, 2006. "Are the Commodity Currencies an Exception to the Rule?," Working Papers UWEC-2006-28, University of Washington, Department of Economics, revised Mar 2012.
    205. Cathy Chen & Feng Liu & Richard Gerlach, 2011. "Bayesian subset selection for threshold autoregressive moving-average models," Computational Statistics, Springer, vol. 26(1), pages 1-30, March.
    206. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2010. "Stochastic model specification search for Gaussian and partial non-Gaussian state space models," Journal of Econometrics, Elsevier, vol. 154(1), pages 85-100, January.
    207. Annalisa Cadonna & Sylvia Frühwirth-Schnatter & Peter Knaus, 2020. "Triple the Gamma—A Unifying Shrinkage Prior for Variance and Variable Selection in Sparse State Space and TVP Models," Econometrics, MDPI, vol. 8(2), pages 1-36, May.
    208. Li Ma, 2015. "Scalable Bayesian Model Averaging Through Local Information Propagation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 795-809, June.
    209. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    210. Marvin Schütt, 2024. "Wind Turbines and Property Values: A Meta-Regression Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 1-43, January.
    211. Krzysztof Beck & Karen Jackson, 2024. "International trade fluctuations: Global versus regional factors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 331-358, February.
    212. Steven Durlauf, 2002. "Policy Evaluation and Empirical Growth Research," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.),Economic Growth: Sources, Trends, and Cycles, edition 1, volume 6, chapter 6, pages 163-190, Central Bank of Chile.
    213. Fouskakis, Dimitris & Ntzoufras, Ioannis & Perrakis, Konstantinos, 2020. "Variations of power-expected-posterior priors in normal regression models," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    214. Priya Kedia & Damitri Kundu & Kiranmoy Das, 2023. "A Bayesian variable selection approach to longitudinal quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 149-168, March.
    215. Buncic, Daniel & Melecky, Martin, 2013. "Equilibrium credit : the reference point for macroprudential supervisors," Policy Research Working Paper Series 6358, The World Bank.
    216. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
    217. Zhang, Hongmei & Huang, Xianzheng & Han, Shengtong & Rezwan, Faisal I. & Karmaus, Wilfried & Arshad, Hasan & Holloway, John W., 2021. "Gaussian Bayesian network comparisons with graph ordering unknown," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    218. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    219. Kelvin Balcombe & Iain Fraser & Abhijit Sharma, 2011. "Bayesian model averaging and identification of structural breaks in time series," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3805-3818.
    220. Gilles Celeux & Mohammed El Anbari & Jean-Michel Marin & Christian P. Robert, 2010. "Regularization in Regression : Comparing Bayesian and Frequentist Methods in a Poorly Informative Situation," Working Papers 2010-43, Center for Research in Economics and Statistics.
    221. Maribel Serna Rodríguez & Andrés Ramírez Hassan & Alexander Coad, 2019. "Uncovering Value Drivers of High Performance Soccer Players," Journal of Sports Economics, , vol. 20(6), pages 819-849, August.
    222. Jesus Crespo Cuaresma & Gernot Doppelhofer & Florian Huber & Philipp Piribauer, 2015. "Growing Together? Projecting Income Growth in Europe at the Regional Level," Department of Economics Working Papers wuwp198, Vienna University of Economics and Business, Department of Economics.
    223. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "How to Estimate Beta?," Hannover Economic Papers (HEP) dp-617, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    224. Beck, Krzysztof, 2021. "Why business cycles diverge? Structural evidence from the European Union," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    225. Doris A. Oberdabernig & Stefan Humer & Jesus Crespo Cuaresma, 2018. "Democracy, Geography and Model Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(2), pages 154-185, May.
    226. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "Estimating beta: Forecast adjustments and the impact of stock characteristics for a broad cross-section," Journal of Financial Markets, Elsevier, vol. 44(C), pages 91-118.
    227. Beck, Krzysztof & Yersh, Valeryia, 2024. "Economic integration and consumption risk sharing: A comparison of Eurozone and OECD countries," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 784-803.
    228. Blazejowski, Marcin & Kwiatkowski, Jacek, 2020. "Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl," MPRA Paper 98387, University Library of Munich, Germany.
    229. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    230. Mr. Eugenio M Cerutti & Mr. Gee Hee Hong, 2018. "Portfolio Inflows Eclipsing Banking Inflows: Alternative Facts?," IMF Working Papers 2018/029, International Monetary Fund.
    231. Joyee Ghosh & Andrew E. Ghattas, 2015. "Bayesian Variable Selection Under Collinearity," The American Statistician, Taylor & Francis Journals, vol. 69(3), pages 165-173, August.
    232. Ando, Tomohiro & Tsay, Ruey, 2010. "Predictive likelihood for Bayesian model selection and averaging," International Journal of Forecasting, Elsevier, vol. 26(4), pages 744-763, October.
    233. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    234. Pesaran, M.H. & Timmermann, A., 2004. "‘Real Time Econometrics’," Cambridge Working Papers in Economics 0432, Faculty of Economics, University of Cambridge.
    235. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge.
    236. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
    237. Tomas Havranek & Diana Zigraiova, 2015. "Bank Competition and Financial Stability: Much Ado about Nothing?," Working Papers 2015/02, Czech National Bank.
    238. Bryant, Henry L. & Davis, George C., 2001. "Beyond The Model Specification Problem: Model And Parameter Averaging Using Bayesian Techniques," 2001 Annual meeting, August 5-8, Chicago, IL 20689, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    239. Krzysztof Beck, 2022. "Macroeconomic policy coordination and the European business cycle: Accounting for model uncertainty and reverse causality," Bulletin of Economic Research, Wiley Blackwell, vol. 74(4), pages 1095-1114, October.
    240. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    241. Pauline Barrieu & Sinclair Desgagn�, 2009. "Economic policy when models disagree," GRI Working Papers 4, Grantham Research Institute on Climate Change and the Environment.
    242. Crespo Cuaresma, Jesús & Fidrmuc, Jarko & Hake, Mariya, 2014. "Demand and supply drivers of foreign currency loans in CEECs: A meta-analysis," Economic Systems, Elsevier, vol. 38(1), pages 26-42.
    243. Redondas, María Dolores, 2003. "Bayesian curve estimation by model averaging," DES - Working Papers. Statistics and Econometrics. WS ws034410, Universidad Carlos III de Madrid. Departamento de Estadística.
    244. Jordi Maas, 2014. "Forecasting inflation using time-varying Bayesian model averaging," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(3), pages 149-182, August.
    245. Minerva Mukhopadhyay & Tapas Samanta & Arijit Chakrabarti, 2015. "On consistency and optimality of Bayesian variable selection based on $$g$$ g -prior in normal linear regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(5), pages 963-997, October.
    246. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    247. KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage priors for dynamic regressions with many predictors," LIDAM Discussion Papers CORE 2011021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    248. Gary Koop & Simon Potter, 2003. "Forecasting in Large Macroeconomic Panels using Bayesian Model Averaging," Discussion Papers in Economics 04/16, Division of Economics, School of Business, University of Leicester.
    249. Eicher, Theo S. & Papageorgiou, Chris & Roehn, Oliver, 2007. "Unraveling the fortunes of the fortunate: An Iterative Bayesian Model Averaging (IBMA) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 494-514, September.
    250. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    251. Chupryhin, Radzivon, 2021. "Determinants of Foreign Direct Investment in Europe: Bayesian Model Averaging in the Presence of Weak Exogeneity," MPRA Paper 107197, University Library of Munich, Germany.
    252. Antonakakis, Nikolaos & Tondl, Gabriele, 2012. "Do determinants of FDI to developing countries differ among OECD investors? Insights from Bayesian model averaging," Discussion Papers 1/12, Europa-Kolleg Hamburg, Institute for European Integration.
    253. Rolando de la Cruz & Cristian Meza & Nicolás Narria & Claudio Fuentes, 2022. "A Bayesian Change Point Analysis of the USD/CLP Series in Chile from 2018 to 2020: Understanding the Impact of Social Protests and the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    254. Andros Kourtellos & Alex Lenkoski & Kyriakos Petrou, 2020. "Measuring the strength of the theories of government size," Empirical Economics, Springer, vol. 59(5), pages 2185-2222, November.
    255. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    256. Leon-Gonzalez, Roberto & Scarpa, Riccardo, 2008. "Improving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transfer," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 50-68, July.
    257. Błażejowski, Marcin & Kufel, Paweł & Kufel, Tadeusz & Kwiatkowski, Jacek & Osińska, Magdalena, 2018. "Model selection for modeling the demand for narrow money in transitional economies," MPRA Paper 90458, University Library of Munich, Germany.
    258. Hippolyte Balima & Anna Sokolova, 2021. "IMF programs and economic growth: A meta-analysis," Post-Print hal-03557677, HAL.
    259. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    260. Le Liu & Xiao-Yang Li & Enrico Zio & Rui Kang & Tong-Min Jiang, 2017. "Model Uncertainty in Accelerated Degradation Testing Analysis," Post-Print hal-01652218, HAL.
    261. Ng, Adam & Ibrahim, Mansor H. & Mirakhor, Abbas, 2016. "Does trust contribute to stock market development?," Economic Modelling, Elsevier, vol. 52(PA), pages 239-250.
    262. Jesus Crespo Cuaresma & Philipp Piribauer, 2015. "Bayesian Variable Selection in Spatial Autoregressive Models," Department of Economics Working Papers wuwp199, Vienna University of Economics and Business, Department of Economics.
    263. Sune Karlsson & Tor Jacobson, 2004. "Finding good predictors for inflation: a Bayesian model averaging approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 479-496.
    264. Andreas Sachs & Frauke Schleer, 2013. "Labour Market Performance in OECD Countries: A Comprehensive Empirical Modelling Approach of Institutional Interdependencies. WWWforEurope Working Paper No. 7," WIFO Studies, WIFO, number 46851.
    265. Min Wang & Guangying Liu, 2016. "A Simple Two-Sample Bayesian t -Test for Hypothesis Testing," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 195-201, May.
    266. Dani Gamerman & Luigi Ippoliti & Pasquale Valentini, 2022. "A dynamic structural equation approach to estimate the short‐term effects of air pollution on human health," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 739-769, June.
    267. Eidenberger, Judith & Neudorfer, Benjamin & Sigmund, Michael & Stein, Ingrid, 2014. "What predicts financial (in)stability? A Bayesian approach," Discussion Papers 36/2014, Deutsche Bundesbank.
    268. Li, GuangJie, 2009. "The Horizon Effect of Stock Return Predictability and Model Uncertainty on Portfolio Choice: UK Evidence," Cardiff Economics Working Papers E2009/4, Cardiff University, Cardiff Business School, Economics Section, revised Aug 2009.
    269. Jana Eklund & Sune Karlsson, 2007. "An Embarrassment of Riches: Forecasting Using Large Panels," Economics wp34, Department of Economics, Central bank of Iceland.
    270. Gilles Dufrénot & Valérie Mignon & Charalambos Tsangarides, 2009. "The Trade-Growth Nexus in the Developing Countries: a Quantile Regression Approach," Working Papers 2009-04, CEPII research center.
    271. Arnab Kumar Maity & Sanjib Basu & Santu Ghosh, 2021. "Bayesian criterion‐based variable selection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 835-857, August.
    272. Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
    273. Silvia Figini & Paolo Giudici, 2013. "Credit risk predictions with Bayesian model averaging," DEM Working Papers Series 034, University of Pavia, Department of Economics and Management.
    274. Alexander Vosseler & Enzo Weber, 2018. "Forecasting seasonal time series data: a Bayesian model averaging approach," Computational Statistics, Springer, vol. 33(4), pages 1733-1765, December.
    275. Mitterling, Thomas & Fenz, Katharina & Martinez Jr, Arturo & Bulan, Joseph & Addawe, Mildred & Durante, Ron Lester & Martillan, Marymell, 2021. "Compiling Granular Population Data Using Geospatial Information," ADB Economics Working Paper Series 643, Asian Development Bank.
    276. Korobilis, Dimitris, 2008. "Forecasting in vector autoregressions with many predictors," MPRA Paper 21122, University Library of Munich, Germany.
    277. Michael Jetter & Christopher F. Parmeter, 2016. "Uncovering the determinants of corruption," Working Papers 2016-02, University of Miami, Department of Economics.
    278. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    279. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    280. Krzysztof Biegun & Jacek Karwowski & Piotr Luty, 2021. "How Effective is Macroeconomic Imbalance Procedure (MIP) in Predicting Negative Macroeconomic Phenomena?," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 822-837.
    281. Antony M. Overstall & David C. Woods, 2016. "Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 483-505, August.
    282. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    283. K. Arin & Alexander Molchanov & Otto Reich, 2013. "Politics, stock markets, and model uncertainty," Empirical Economics, Springer, vol. 45(1), pages 23-38, August.
    284. Magdalena Osinska & Marcin Blazejowski & Pawel Kufel & Tadeusz Kufel & Jacek Kwiatkowski, 2020. "Narrow Money Demand in Indonesia and in Other Transitional Economies – Model Selection and Forecasting," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1291-1311.
    285. Rosa Capolupo, "undated". "The New Growth Theoris and their Empirics," Working Papers 2005_4, Business School - Economics, University of Glasgow.
    286. Wada, Tatsuma, 2022. "Out-of-sample forecasting of foreign exchange rates: The band spectral regression and LASSO," Journal of International Money and Finance, Elsevier, vol. 128(C).
    287. Beck Krzysztof, 2017. "Bayesian Model Averaging and Jointness Measures: Theoretical Framework and Application to the Gravity Model of Trade," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 393-412, September.
    288. Theo S. Eicher & Alex Lenkoski & Adrian Raftery, 2009. "Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants," Working Papers UWEC-2009-19-FC, University of Washington, Department of Economics.
    289. Klump, R. & Prüfer, P., 2006. "Prioritizing Policies for Pro-Poor Growth : Applying Bayesian Model Averaging to Vietnam," Other publications TiSEM dc14add6-f581-4eea-92dd-3, Tilburg University, School of Economics and Management.
    290. Peter Sandholt Jensen & Allan H. Würtz, 2006. "On determining the importance of a regressor with small and undersized samples," Economics Working Papers 2006-08, Department of Economics and Business Economics, Aarhus University.
    291. Martin Feldkircher & Florian Huber & Josef Schreiner & Julia Woerz & Marcel Tirpak & Peter Toth, 2015. "Small-scale nowcasting models of GDP for selected CESEE countries," Working and Discussion Papers WP 4/2015, Research Department, National Bank of Slovakia.
    292. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," EconStor Preprints 223060, ZBW - Leibniz Information Centre for Economics.
    293. George Kapetanios, 2005. "Variable Selection using Non-Standard Optimisation of Information Criteria," Working Papers 533, Queen Mary University of London, School of Economics and Finance.
    294. Sachs, Andreas & Schleer, Frauke, 2013. "Labour market performance in OECD countries: A comprehensive empirical modelling approach of institutional interdependencies," ZEW Discussion Papers 13-040, ZEW - Leibniz Centre for European Economic Research.
    295. Hyun Hak Kim & Norman Swanson, 2013. "Mining Big Data Using Parsimonious Factor and Shrinkage Methods," Departmental Working Papers 201316, Rutgers University, Department of Economics.
    296. Nikolaos Antonakakis & Gabriele Tondl, 2015. "Robust determinants of OECD FDI in developing countries: Insights from Bayesian model averaging," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1095851-109, December.
    297. LeSage, James P. & Kelley Pace, R., 2007. "A matrix exponential spatial specification," Journal of Econometrics, Elsevier, vol. 140(1), pages 190-214, September.
    298. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    299. Shahram Amini & Christopher F. Parmeter, 2020. "A Review of the ‘BMS’ Package for R with Focus on Jointness," Econometrics, MDPI, vol. 8(1), pages 1-21, February.
    300. Maltritz, Dominik, 2012. "Determinants of sovereign yield spreads in the Eurozone: A Bayesian approach," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 657-672.
    301. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.
    302. Andersson, Michael K & Karlsson, Sune, 2007. "Bayesian forecast combination for VAR models," Working Paper Series 216, Sveriges Riksbank (Central Bank of Sweden).
    303. Mathonnat, Clément & Williams, Benjamin, 2020. "Does more finance mean more inequality in times of crisis?," Economic Systems, Elsevier, vol. 44(4).
    304. Baele, Lieven & De Bruyckere, Valerie & De Jonghe, Olivier & Vander Vennet, Rudi, 2015. "Model uncertainty and systematic risk in US banking," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 49-66.
    305. Barrieu, Pauline & Desgagne, Bernard Sinclair, 2009. "Economic policy when models disagree," LSE Research Online Documents on Economics 37607, London School of Economics and Political Science, LSE Library.
    306. Michal Hlavacek & Ilgar Ismayilov, 2022. "Meta-analysis: Fiscal Multiplier," Working Papers IES 2022/07, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2022.
    307. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    308. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    309. Eicher, Theo S. & Helfman, Lindy & Lenkoski, Alex, 2012. "Robust FDI determinants: Bayesian Model Averaging in the presence of selection bias," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 637-651.
    310. Havranek, Tomas & Irsova, Zuzana & Zeynalova, Olesia, 2017. "Tuition Reduces Enrollment Less Than Commonly Thought," MPRA Paper 78813, University Library of Munich, Germany.
    311. Jiawen Luo & Qun Zhang, 2024. "Air pollution, weather factors, and realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 151-217, February.
    312. Jana Eklund & Sune Karlsson, 2007. "Computational Efficiency in Bayesian Model and Variable Selection," Economics wp35, Department of Economics, Central bank of Iceland.
    313. Lopresti, John, 2016. "Multiproduct firms and product scope adjustment in trade," Journal of International Economics, Elsevier, vol. 100(C), pages 160-173.
    314. David Stadelmann, 2009. "Which Factors Capitalize into House Prices? A Bayesian Averaging Approach," CREMA Working Paper Series 2009-10, Center for Research in Economics, Management and the Arts (CREMA).
    315. Chotikapanich, D. & Griffiths, W.E. & Rao, D.S.P., 2001. "Averaging Income Distributions," Department of Economics - Working Papers Series 798, The University of Melbourne.
    316. Florian Schoiswohl & Philipp Piribauer & Michael Gmeinder & Matthias Koch & Manfred Fischer, 2012. "The Speed of Income Convergence in Europe: A case for Bayesian Model Averaging with Eigenvector Filtering," ERSA conference papers ersa12p744, European Regional Science Association.
    317. Bettina Grün & Paul Hofmarcher, 2021. "Identifying groups of determinants in Bayesian model averaging using Dirichlet process clustering," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 1018-1045, September.
    318. Oliver Roehn & Sultan Orazbayev & Aslan Sarinzhipov, 2009. "An Institutional Risk Analysis of the Kazakh Economy," ifo Working Paper Series 70, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    319. Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016. "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers 6/16, Monash University, Department of Econometrics and Business Statistics.
    320. James P. LESAGE, 2014. "Software For Bayesian Spatial Model Comparison," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 11-24.
    321. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.
    322. Klein, Arne C. & Pliszka, Kamil, 2018. "The time-varying impact of systematic risk factors on corporate bond spreads," Discussion Papers 14/2018, Deutsche Bundesbank.
    323. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.
    324. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems," Economic Systems, Elsevier, vol. 47(4).
    325. Niklas Döbbeling-Hildebrandt & Klaas Miersch & Tarun M. Khanna & Marion Bachelet & Stephan B. Bruns & Max Callaghan & Ottmar Edenhofer & Christian Flachsland & Piers M. Forster & Matthias Kalkuhl & Ni, 2024. "Systematic review and meta-analysis of ex-post evaluations on the effectiveness of carbon pricing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    326. Ravazzolo, F. & van Dijk, D.J.C. & Paap, R. & Franses, Ph.H.B.F., 2006. "Bayesian Model Averaging in the Presence of Structural Breaks," Econometric Institute Research Papers EI 2006-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    327. Lucchetti, Riccardo & Pedini, Luca & Pigini, Claudia, 2022. "No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation," Economic Modelling, Elsevier, vol. 107(C).
    328. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    329. Nott, David J. & Leng, Chenlei, 2010. "Bayesian projection approaches to variable selection in generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3227-3241, December.
    330. Bernard Njindan Iyke, 2018. "Macro Determinants Of The Real Exchange Rate In A Small Open Small Island Economy:Evidence From Mauritius Via Bma," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(1), pages 57-80, July.
    331. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
    332. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.
    333. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    334. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
    335. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, vol. 8(2), pages 1-29, May.
    336. Matthias Pelster & Johannes Vilsmeier, 2018. "The determinants of CDS spreads: evidence from the model space," Review of Derivatives Research, Springer, vol. 21(1), pages 63-118, April.
    337. Aijun Yang & Ju Xiang & Lianjie Shu & Hongqiang Yang, 2018. "Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 323-338, February.
    338. Jing Chen, 2018. "Economic Diversity and Regional Economic Performance: A Methodological Concern from Model Uncertainty," Working Papers Working Paper 2018-05, Regional Research Institute, West Virginia University.
    339. Yang Aijun & Xiang Ju & Yang Hongqiang & Lin Jinguan, 2018. "Sparse Bayesian Variable Selection in Probit Model for Forecasting U.S. Recessions Using a Large Set of Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1123-1138, April.
    340. Kelvin Balcombe, 2005. "Model Selection Using Information Criteria and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 207-228, June.
    341. Jesús Crespo Cuaresma & Martin Feldkircher, 2012. "Drivers of Output Loss during the 2008–09 Crisis: A Focus on Emerging Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 46-64.
    342. Zellner, Arnold & Ando, Tomohiro, 2010. "Bayesian and non-Bayesian analysis of the seemingly unrelated regression model with Student-t errors, and its application for forecasting," International Journal of Forecasting, Elsevier, vol. 26(2), pages 413-434, April.
    343. Jonas Gross & Johannes Zahner, 2020. "What's on the ECB's mind? - Monetary policy before and after the global financial crisis," MAGKS Papers on Economics 202008, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    344. Martin Feldkircher & Florian Huber & Josef Schreiner & Marcel Tirpák & Peter Tóth & Julia Wörz, 2015. "Bridging the information gap: small-scale nowcasting models of GDP growth for selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 56-75.
    345. David Rossell & Donatello Telesca, 2017. "Nonlocal Priors for High-Dimensional Estimation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 254-265, January.
    346. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    347. Hernández-Mireles, C. & Fok, D. & Franses, Ph.H.B.F., 2008. "The Triggers, Timing and Speed of New Product Price Landings," ERIM Report Series Research in Management ERS-2008-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    348. Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
    349. Yiyun Shou & Michael Smithson, 2015. "Evaluating Predictors of Dispersion: A Comparison of Dominance Analysis and Bayesian Model Averaging," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 236-256, March.
    350. Luca Berchicci & Andrew A. King, 2022. "Building knowledge by mapping model uncertainty in six studies of social and financial performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1319-1346, July.
    351. Garratt, Anthony & Lee, Kevin, 2010. "Investing under model uncertainty: Decision based evaluation of exchange rate forecasts in the US, UK and Japan," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 403-422, April.
    352. Maltritz, Dominik & Molchanov, Alexander, 2013. "Analyzing determinants of bond yield spreads with Bayesian Model Averaging," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5275-5284.
    353. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2009. "Economic Growth Determinants for European Regions: Is Central and Eastern Europe Different?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 22-37.
    354. Maltritz, Dominik & Molchanov, Alexander, 2014. "Country credit risk determinants with model uncertainty," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 224-234.
    355. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.
    356. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    357. Rachida Ouysse & Chris Nicholas, 2008. "Time Varying Determinants of Cross-Country Growth," Discussion Papers 2008-03, School of Economics, The University of New South Wales.
    358. Hansen, Bruce E., 2008. "Least-squares forecast averaging," Journal of Econometrics, Elsevier, vol. 146(2), pages 342-350, October.
    359. Glocker, Christian & Piribauer, Philipp, 2021. "The determinants of output losses during the Covid-19 pandemic," Economics Letters, Elsevier, vol. 204(C).
    360. Krzysztof Beck, 2021. "Capital mobility and the synchronization of business cycles: Evidence from the European Union," Review of International Economics, Wiley Blackwell, vol. 29(4), pages 1065-1079, September.
    361. Jim Q. Smith & Paul E. Anderson & Silvia Liverani, 2008. "Separation measures and the geometry of Bayes factor selection for classification," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 957-980, November.
    362. Andros Kourtellos & Alex Lenkoski & Kyriakos Petrou, 2017. "Measuring the Strength of the Theories of Government Size," University of Cyprus Working Papers in Economics 11-2017, University of Cyprus Department of Economics.
    363. Branimir Jovanovic, 2014. "Inflation and the Rich After the Global Financial Crisis," LIS Working papers 613, LIS Cross-National Data Center in Luxembourg.
    364. Brock,W.A. & Durlauf,S.N., 2004. "Macroeconomics and model uncertainty," Working papers 20, Wisconsin Madison - Social Systems.
    365. Doppelhofer, Gernot & Hansen, Ole-Petter Moe & Weeks, Melvyn, 2016. "Determinants of long-term economic Growth redux: A Measurement Error Model Averaging (MEMA) approach," Discussion Paper Series in Economics 19/2016, Norwegian School of Economics, Department of Economics.
    366. Krzysztof Beck & Michał Możdżeń, 2020. "Institutional Determinants of Budgetary Expenditures. A BMA-Based Re-Evaluation of Contemporary Theories for OECD Countries," Sustainability, MDPI, vol. 12(10), pages 1-31, May.
    367. Valérie Mignon & Carl Grekou & Emmanuelle Faure, 2023. "Current account balances’ divergence in the euro area: an appraisal of the underlying forces," EconomiX Working Papers 2023-3, University of Paris Nanterre, EconomiX.
    368. Anastasios Petropoulos & Vasilis Siakoulis & Dionysios Mylonas & Aristotelis Klamargias, 2018. "A combined statistical framework for forecasting default rates of Greek Financial Institutions' credit portfolios," Working Papers 243, Bank of Greece.
    369. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    370. Ayman A. Amin, 2020. "Bayesian Analysis of Double Seasonal Autoregressive Models," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(2), pages 328-352, November.
    371. Anthony Garratt & Kevin Lee, 2006. "Investing Under Model Uncertainty: Decision Based Evaluation of Exchange Rate and Interest Rate Forecasts in the US, UK and Japan," Birkbeck Working Papers in Economics and Finance 0616, Birkbeck, Department of Economics, Mathematics & Statistics.
    372. Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.

  30. Carmen Fernandez & Mark F J Steel, 1998. "Reference priors for the general location-scale model," Edinburgh School of Economics Discussion Paper Series 23, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Rubio, F.J. & Steel, M.F.J., 2011. "Inference for grouped data with a truncated skew-Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3218-3231, December.
    2. Soumya Roy & Biswabrata Pradhan, 2023. "Inference for log‐location‐scale family of distributions under competing risks with progressive type‐I interval censored data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 208-232, May.
    3. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.
    4. Bodnar, Olha & Eriksson, Viktor, 2021. "Bayesian model selection: Application to adjustment of fundamental physical constants," Working Papers 2021:7, Örebro University, School of Business.

  31. Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Discussion Paper 1997-85, Tilburg University, Center for Economic Research.

    Cited by:

    1. Heru Margono & Subhash Sharma & Kevin Sylwester & Usama Al-Qalawi, 2009. "Technical efficiency and productivity analysis in Indonesian provincial economies," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 663-672.
    2. Marco FIORAMANTI, 2010. "Estimation And Decomposition Of Total Factor Productivity Growth In The Eu Manufacturing Sector: A Long Run Perspective," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(3(13)/Fal), pages 217-230.
    3. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Exploring the role of institutions in cross country Malmquist productivity analysis: A two-stage double bootstrap DEA approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 241-264, Winter.
    4. Maria Baquero Forero & Takanori Ida & Toshifumi Kuroda, 2015. "Institutions and Cultural Heterogeneity as Determinants of National Income: A Random-coefficients Stochastic Frontier Model," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 710-724, August.
    5. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    6. Francisco J. Ruge-Murcia, 2000. "Uncovering financial markets' beliefs about inflation targets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 483-512.
    7. Lambarraa, Fatima & Serra, Teresa & Gil Roig, Jose Maria, 2006. "Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10071, European Association of Agricultural Economists.
    8. Malinka Koparanova, 2007. "Structural Changes in the Manufacturing Industry of Transition Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 3-42.
    9. António AFONSO & Miguel ST. AUBYN, 2010. "Public and Private Inputs in Aggregate Production and Growth: A Cross-country Efficiency Approach," EcoMod2010 259600004, EcoMod.
    10. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    11. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    12. Astrid Cullmann & Christian von Hirschhausen, 2007. "From Transition to Competition: Dynamic Efficiency Analysis of Polish Electricity Distribution Companies," Discussion Papers of DIW Berlin 716, DIW Berlin, German Institute for Economic Research.
    13. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    14. Weill, Laurent, 2006. "On the consistency of aggregate production frontiers," European Journal of Operational Research, Elsevier, vol. 172(1), pages 326-333, July.
    15. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    16. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    17. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, December.
    18. Laurent Weill, 2008. "On the inefficiency of European socialist economies," Journal of Productivity Analysis, Springer, vol. 29(2), pages 79-89, April.
    19. Marco Fioramanti, 2009. "Estimation and Decomposition of Total Factor Productivity Growth in the EU Manufacturing Sector: a Stochastic Frontier Approach," ISAE Working Papers 114, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    20. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.
    21. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    22. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    23. Mr. Andrew J Tiffin, 2006. "Ukraine: The Cost of Weak Institutions," IMF Working Papers 2006/167, International Monetary Fund.

  32. Fernández, C. & Steel, M.F.J., 1997. "Multivariate Student -t Regression Models : Pitfalls and Inference," Discussion Paper 1997-08, Tilburg University, Center for Economic Research.

    Cited by:

    1. Filidor Labra & Reiko Aoki & Heleno Bolfarine, 2005. "Local influence in null intercept measurement error regression under a student_t model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 723-740.
    2. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions," Econometrics 0403001, University Library of Munich, Germany.
    3. Manuel Galea & Heleno Bolfarine & Filidor Vilcalabra, 2002. "Influence diagnostics for the structural errors-in-variables model under the Student-t distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(8), pages 1191-1204.
    4. David Cademartori & Cecilia Romo & Ricardo Campos & Manuel Galea, 2003. "Robust estimation of systematic risk using the t distribution in the chilean stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 447-453.
    5. James E. Griffin & Mark F.J. Steel, 2002. "Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility," Econometrics 0201002, University Library of Munich, Germany, revised 04 Apr 2003.
    6. Felipe Osorio & Manuel Galea, 2006. "Detection of a change-point in student-t linear regression models," Statistical Papers, Springer, vol. 47(1), pages 31-48, January.
    7. Antonio Sanhueza & Víctor Leiva & N. Balakrishnan, 2008. "A new class of inverse Gaussian type distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(1), pages 31-49, June.
    8. Yongjae Kwon & Hamparsum Bozdogan & Halima Bensmail, 2009. "Performance of Model Selection Criteria in Bayesian Threshold VAR (TVAR) Models," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 83-101.

  33. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.

    Cited by:

    1. Fernández, C. & Steel, M.F.J., 1997. "On the Dangers of Modelling through Continuous Distributions : A Bayesian Perspective," Discussion Paper 1997-05, Tilburg University, Center for Economic Research.
    2. Fernández, C. & Steel, M.F.J., 1997. "Reference Priors for the General Location-Scale Model," Other publications TiSEM 3a91a072-b14c-4c07-b2e7-0, Tilburg University, School of Economics and Management.
    3. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Modelling of Fat Tails and Skewness," Other publications TiSEM 0991c197-c9e8-4904-8119-3, Tilburg University, School of Economics and Management.
    4. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.
    5. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.

  34. Fernandez, C & Osiewalski, J & Steel, M-F-J, 1996. "Classical and Bayesian Inference Robustness in Multivariate Regression models," Papers 9602, Catholique de Louvain - Institut de statistique.

    Cited by:

    1. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "Robust Bayesian Inference on Scale Parameters," Other publications TiSEM 7ac8a9cf-881f-4009-8308-7, Tilburg University, School of Economics and Management.
    2. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    3. Jim Smith & Fabio Rigat, 2012. "Isoseparation and robustness in parametric Bayesian inference," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 495-519, June.

  35. Osiewalski, J. & Steel, M.F.J., 1996. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Discussion Paper 1996-03, Tilburg University, Center for Economic Research.

    Cited by:

    1. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.
    2. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    3. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.
    4. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    5. Xingyuan Zhang, 2000. "A Monte Carlo Study on the Finite Sample Properties of the Gibbs Sampling Method for a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 14(1), pages 71-83, July.
    6. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    7. Shabbir Ahmad, 2020. "Estimating input-mix efficiency in a parametric framework: application to state-level agricultural data for the United States," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3976-3997, July.
    8. Jerzy Marzec & Andrzej Pisulewski, 2015. "Analysis of the Economic Activity of Dairy Farms in Poland: Results obtained from the Short-run Cost Function," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 167-182.
    9. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    10. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    11. Owusu, Rebecca & Kwadzo, Moses & Ghartey, William, 2022. "Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
    12. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    13. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    14. Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016. "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper 80295, University Library of Munich, Germany.
    15. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    16. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    17. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    18. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    19. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    20. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
    21. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    22. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).
    23. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
    24. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    25. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.

  36. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.

  37. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Modelling of Fat Tails and Skewness," Discussion Paper 1996-58, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    2. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    3. Grottke, Martin, 1999. "Generierung schiefer Verteilungen mittels Skalenparametersplittung," Discussion Papers 30/1999, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
    4. Fernández, C. & Steel, M.F.J., 1997. "On the Dangers of Modelling through Continuous Distributions : A Bayesian Perspective," Discussion Paper 1997-05, Tilburg University, Center for Economic Research.
    5. Kóbor, Ádám, 2000. "A feltétel nélküli normalitás egyszerű alternatívái a kockáztatott érték számításában [The simple alternatives of unconditional normality in the calculation of value at risk]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 878-898.
    6. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
    7. Paola Palmitesta & Corrado Provasi, 2005. "Aggregation of Dependent Risks Using the Koehler–Symanowski Copula Function," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 189-205, February.
    8. Abdou Kâ Diongue & Dominique Guegan, 2008. "Estimation of k-factor GIGARCH process : a Monte Carlo study," Post-Print halshs-00235179, HAL.
    9. Carmen Fernández & Mark Steel, 1998. "Reference priors for non-Normal two-sample problems," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 179-205, June.
    10. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions," Econometrics 0403001, University Library of Munich, Germany.
    11. BOUADDI, Mohammed & ROMBOUTS, Jeroen V.K., 2007. "Mixed exponential power asymmetric conditional heteroskedasticity," LIDAM Discussion Papers CORE 2007097, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
    13. Chris Brooks & Simon P. Burke & Gita Persand, 2002. "Augoregressive Conditional Kurtosis," ICMA Centre Discussion Papers in Finance icma-dp2002-05, Henley Business School, University of Reading.
    14. Martin, G.M. & Forbes, C.S. & Martin, V.L., 2000. "Implicit Bayesian Inference Using Option Prices," Monash Econometrics and Business Statistics Working Papers 5/00, Monash University, Department of Econometrics and Business Statistics.
    15. Jose T.A.S. Ferreira & Mark F.J. Steel, 2004. "Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers," Econometrics 0404005, University Library of Munich, Germany.
    16. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," NBER Working Papers 11069, National Bureau of Economic Research, Inc.
    17. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    18. Emese Lazar & Carol Alexander, 2006. "Normal mixture GARCH(1,1): applications to exchange rate modelling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 307-336.
    19. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    20. Ferreira, Jose T.A.S. & Steel, Mark F.J., 2006. "A Constructive Representation of Univariate Skewed Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 823-829, June.
    21. Dongming Zhu & John W. Galbraith, 2009. "Forecasting Expected Shortfall with a Generalized Asymmetric Student-t Distribution," CIRANO Working Papers 2009s-24, CIRANO.
    22. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    23. Lima, Luiz Renato & Néri, Breno Pinheiro, 2007. "Comparing Value-at-Risk Methodologies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 27(1), May.
    24. Dongming Zhu & John W. Galbraith, 2009. "A Generalized Asymmetric Student-t Distribution with Application to Financial Econometrics," CIRANO Working Papers 2009s-13, CIRANO.
    25. Abdou Kâ Diongue & Dominique Guegan, 2007. "The Stationary Seasonal Hyperbolic Asymmetric Power ARCH model," Post-Print halshs-00179275, HAL.
    26. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    27. Jeffrey Dotson & Joseph Retzer & Greg Allenby, 2008. "Non-normal simultaneous regression models for customer linkage analysis," Quantitative Marketing and Economics (QME), Springer, vol. 6(3), pages 257-277, September.
    28. Neil Shephard & Ole E. Barndorff-Nielsen, 2012. "Basics of Levy processes," Economics Series Working Papers 610, University of Oxford, Department of Economics.
    29. Samuel Kotz & Donatella Vicari, 2005. "Survey of developments in the theory of continuous skewed distributions," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 225-261.
    30. Philippe Lambert & Sébastien Laurent, 2008. "Testing Conditional Dynamics in Asymmetry. A Residual-Based Approach," Working Papers ECARES 2008_009, ULB -- Universite Libre de Bruxelles.
    31. Samuel Kotz & Tomasz Kozubowski & Krzysztof Podgórski, 2002. "Maximum Likelihood Estimation of Asymmetric Laplace Parameters," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(4), pages 816-826, December.
    32. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
    33. Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
    34. J. T. A. S. Ferreira & M. F. J. Steel, 2004. "On Describing Multivariate Skewness: A Directional Approach," Econometrics 0409010, University Library of Munich, Germany.
    35. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Model-based Clustering of non-Gaussian Panel Data," MPRA Paper 880, University Library of Munich, Germany.
    36. Stavros Degiannakis, 2004. "Volatility forecasting: evidence from a fractional integrated asymmetric power ARCH skewed-t model," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1333-1342.
    37. M. Bilancia & A. pollice, 1999. "Bayesian estimation of finite mixtures of gaussian mixtures," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 181-208.
    38. Li, Yushu, 2012. "Estimating and Forecasting APARCH-Skew-t Models by Wavelet Support Vector Machines," Working Papers 2012:13, Lund University, Department of Economics.
    39. Bernardo León & Andrés Mora, 2011. "CDS: relación con índices accionarios y medida de riesgo," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(64), pages 178-211, July.
    40. Martin Weale & Paul Labonne, 2022. "Nowcasting in the presence of large measurement errors and revisions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-05, Economic Statistics Centre of Excellence (ESCoE).
    41. Garcia, René & Renault, Eric & Veredas, David, 2011. "Estimation of stable distributions by indirect inference," Journal of Econometrics, Elsevier, vol. 161(2), pages 325-337, April.
    42. GIOT, Pierre & LAURENT, Sébastien, 2003. "Market risk in commodity markets: a VaR approach," LIDAM Discussion Papers CORE 2003028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    43. Klein, Ingo, 2011. "Van Zwet ordering and the Ferreira-Steel family of skewed distributions," FAU Discussion Papers in Economics 13/2011, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    44. Paola Palmitesta & Corrado Provasi, 2004. "Aggregation of Dependent Risks with Specific Marginals by the Family of Koehler-Symanowski Distributions," Computing in Economics and Finance 2004 306, Society for Computational Economics.
    45. Jin, Hyun Joung, 2008. "A Long Memory Conditional Variance Model for International Grain Markets," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 31(2), pages 1-23, May.
    46. Sucarrat, Genaro, 2010. "The power log-GARCH model," UC3M Working papers. Economics we1013, Universidad Carlos III de Madrid. Departamento de Economía.
    47. Oriol Roch Casellas & Antonio Alegre Escolano, 2005. "Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market," Working Papers in Economics 143, Universitat de Barcelona. Espai de Recerca en Economia.
    48. Timotheos Angelidis & Stavros Degiannakis, 2007. "Backtesting VaR Models: An Expected Shortfall Approach," Working Papers 0701, University of Crete, Department of Economics.

  38. FERNANDEZ, Carmen & OSIEWALSKI, Jacek & STEEL, Mark FJ., 1995. "Inference Robustness in Multivariate Models with a Scale Parameter," LIDAM Discussion Papers CORE 1995030, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.

  39. Fernandez, C. & Steel, M.F.J., 1995. "reference Priors in Non-Normal Location Problems," Papers 9591, Tilburg - Center for Economic Research.

    Cited by:

    1. Fernández, C. & Steel, M.F.J., 1997. "On the Dangers of Modelling through Continuous Distributions : A Bayesian Perspective," Discussion Paper 1997-05, Tilburg University, Center for Economic Research.
    2. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Modelling of Fat Tails and Skewness," Other publications TiSEM 0991c197-c9e8-4904-8119-3, Tilburg University, School of Economics and Management.
    3. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.

  40. Eduardo Ley & Mark F.J. Steel, 1995. "On the Estimation of Demand Systems Through Consumption Efficiency," Econometrics 9503001, University Library of Munich, Germany, revised 22 Feb 1996.

    Cited by:

    1. Inha Oh & Jeong-Dong Lee & Seogwon Hwang & Almas Heshmati, 2010. "Analysis of product efficiency in the Korean automobile market from a consumer’s perspective," Empirical Economics, Springer, vol. 38(1), pages 119-137, February.
    2. Jeong-Dong Lee & Chansoo Park & Dong-Hyun Oh & Tai-Yoo Kim, 2008. "Measuring consumption efficiency with utility theory and stochastic frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2961-2968.

  41. Steel, M.F.J., 1995. "Posterior Analysis of Stochastic Volatility Models with Flexible Tails," Papers 9568, Tilburg - Center for Economic Research.

    Cited by:

    1. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    2. Gerlach, Richard & Tuyl, Frank, 2006. "MCMC methods for comparing stochastic volatility and GARCH models," International Journal of Forecasting, Elsevier, vol. 22(1), pages 91-107.
    3. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    4. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    5. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    6. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    7. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    8. George Assaf, A., 2012. "Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier," Tourism Management, Elsevier, vol. 33(5), pages 1122-1127.

  42. KOOP , Gary & LEY , Eduardo & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," LIDAM Discussion Papers CORE 1995035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Yang Fuyu & Leon-Gonzalez Roberto, 2010. "Bayesian Estimation and Model Selection in the Generalized Stochastic Unit Root Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-38, September.
    2. S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    4. Iglesias, Pilar & Jorquera, Hector & Palma, Wilfredo, 2006. "Data analysis using regression models with missing observations and long-memory: an application study," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2028-2043, April.
    5. N. H. Chan & A. E. Brockwell, 2006. "Long-memory dynamic Tobit models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 351-367.
    6. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    7. Fuyu Yang, 2007. "Bayesian Analysis of Deterministic Time Trend and Changes in Persistence Using a Generalised Stochastic Unit Root Model," Discussion Papers in Economics 07/11, Division of Economics, School of Business, University of Leicester.
    8. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    9. Laura Mayoral, 2005. "The persistence of inflation in OECD countries: A fractionally integrated approach," Economics Working Papers 958, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005.
    10. Goldman Elena & Nam Jouahn & Tsurumi Hiroki & Wang Jun, 2013. "Regimes and long memory in realized volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 521-549, December.
    11. M. Dolores Gadea & Laura Mayoral, 2009. "Aggregation is not the solution: the PPP puzzle strikes back," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 875-894.
    12. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    13. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    14. Ossama Mikhail & Curtis J. Eberwein & Jagdish Handa, 2003. "Testing and Estimating Persistence in Canadian Unemployment," Econometrics 0311004, University Library of Munich, Germany.
    15. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    16. Chuxuan Xiao & Winifred Huang & David P. Newton, 2024. "Predicting expected idiosyncratic volatility: Empirical evidence from ARFIMA, HAR, and EGARCH models," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 979-1006, October.
    17. Epaminondas Panas & Vassilia Ninni, 2010. "The Distribution of London Metal Exchange Prices: A Test of the Fractal Market Hypothesis," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 192-210.
    18. Kai Yang & Qingqing Zhang & Xinyang Yu & Xiaogang Dong, 2023. "Bayesian inference for a mixture double autoregressive model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 188-207, May.
    19. Manveer Kaur Mangat & Erhard Reschenhofer, 2019. "Testing for Long-Range Dependence in Financial Time Series," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(2), pages 93-106, June.
    20. Martin, V.L. & Wilkins, N.P., 1997. "Indirect Estimation of Arfima and Varfima Models," Department of Economics - Working Papers Series 547, The University of Melbourne.
    21. Andersson, Fredrik N. G. & Li, Yushu, 2014. "Are Central Bankers Inflation Nutters? - A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Discussion Papers 2014/38, Norwegian School of Economics, Department of Business and Management Science.
    22. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. O. Mikhail & C. J. Eberwein & J. Handa, 2006. "Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1809-1819.
    24. Andersson, Fredrik N.G. & Li, Yushu, 2013. "How Flexible are the Inflation Targets? A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Working Papers 2013:38, Lund University, Department of Economics.
    25. Mohsen Mehrara & Nafiseh Behradmehr & Mitra Saboonchi, 2013. "Investigating the Long time Memory in the Future Market of Gold," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 1(1), pages 28-32.
    26. Panas, E., 2001. "Long memory and chaotic models of prices on the London Metal Exchange," Resources Policy, Elsevier, vol. 27(4), pages 235-246, December.
    27. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    28. Micha³ Majsterek, 2018. "Stock and Flows in the Countegration Context," Lodz Economics Working Papers 3/2018, University of Lodz, Faculty of Economics and Sociology.

  43. Eduardo Ley & Mark F J Steel, 1995. "A Model of Management Teams," Edinburgh School of Economics Discussion Paper Series 24, Edinburgh School of Economics, University of Edinburgh.

    Cited by:

    1. Sibert, Anne, 2006. "Central Banking by Committee," CEPR Discussion Papers 5626, C.E.P.R. Discussion Papers.

  44. KOOP, Gary & OSIEWALSKI, Jacek & STEEL, Mark, 1995. "The Components of Output Growth : A Cross-Country Analysis," LIDAM Discussion Papers CORE 1995003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    2. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.
    3. Gordon, S. & Belanger, G., 1995. "Echantillonnage de Gibbs et autres application econometriques des chaines merkoviennes," Papers 9509, Laval - Recherche en Politique Economique.
    4. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    5. Yasmina Reem Limam & Stephen M. Miller, 2004. "Explaining Economic Growth: Factor Accumulation, Total Factor Productivity Growth, and Production Efficiency Improvement," Working papers 2004-20, University of Connecticut, Department of Economics.
    6. Temple, J., 1995. "Testing the Augmented Solow Models," Economics Papers 106, Economics Group, Nuffield College, University of Oxford.
    7. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    8. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.

  45. KOOP , Gary & OSIEWALSKI, Jacek & STEEL , Mark, 1995. "Measuring the Sources of Output Growth in a Panel of Countries," LIDAM Discussion Papers CORE 1995042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    2. Jonathan Temple, 1997. "St Adam and the Dragons: Neo-classical economics and the East Asian miracle," Oxford Development Studies, Taylor & Francis Journals, vol. 25(3), pages 279-300.
    3. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    4. Gong, Binlei & Sickles, Robin C., 2018. "Resource Allocation in Multi-divisional Multi-product Firms," Working Papers 18-002, Rice University, Department of Economics.
    5. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    6. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    7. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    8. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.

  46. KOOP , Gary & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Efficiency Analysis through Individual Effects : Hospital Cost Frontiers," LIDAM Discussion Papers CORE 1995036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Dempsey-Brench, Zara & Volta, Nicola, 2018. "A cost-efficiency analysis of European air navigation service providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 11-23.
    2. William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
    3. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    4. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    5. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    6. Klaus Moeltner & A. Ford Ramsey & Clinton L. Neill, 2021. "Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1832-1856, October.
    7. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
    8. Gstach, Dieter, 2005. "Estimating output targets to evaluate output-specific efficiencies: A statistical framework," European Journal of Operational Research, Elsevier, vol. 161(2), pages 564-578, March.
    9. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.
    10. Koop, Gary & Li, Kai, 2001. "The valuation of IPO and SEO firms," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 375-401, September.
    11. Philippe K. Widmer, 2011. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," ECON - Working Papers 053, Department of Economics - University of Zurich.
    12. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    13. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    14. Lise Tole & Gary Koop, 2011. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," Working Papers 11-36, University of Strathclyde Business School, Department of Economics.
    15. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
    16. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    17. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    18. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
    19. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October.
    20. Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Other publications TiSEM 70bc4936-7304-4e87-910c-b, Tilburg University, School of Economics and Management.
    21. Yangseon Kim & Peter Schmidt, 2007. "Marginal Comparisons with the Best ant the Efficiency Measurment Problem," Working Papers 0703, University of Crete, Department of Economics, revised 01 Dec 2006.
    22. Shabbir Ahmad & Sriram Shankar & John Steen & Martie-Louise Verreynne & Abid Aman Burki, 2018. "What Drives Smallholders' Productivity in Pakistan's Horticultural Sector?," Discussion Papers Series 597, School of Economics, University of Queensland, Australia.
    23. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    24. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    25. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    26. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    27. Dorfman, Jeffrey H. & Atkinson, Scott E., 2002. "Multiple Comparisons With The Best: Bayesian Precision Measures Of Efficiency Rankings," 2002 Annual meeting, July 28-31, Long Beach, CA 19800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    29. Xingyuan Zhang, 2000. "A Monte Carlo Study on the Finite Sample Properties of the Gibbs Sampling Method for a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 14(1), pages 71-83, July.
    30. Fraser, Iain & Davis, Junior & Balcombe, Kelvin & Bezemer, Dirk, 2005. "Is Rural Income Diversity Pro-Growth? Is It Pro-Poor? Evidence from Georgia," Proceedings of the German Development Economics Conference, Kiel 2005 4, Verein für Socialpolitik, Research Committee Development Economics.
    31. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    32. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    33. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    34. Daniel Bilodeau & Pierre‐Yves Crémieux & Pierre Ouellette, 2002. "Hospital Technology in a Nonmarket Health Care System," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 511-529, January.
    35. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
    36. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    37. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    38. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    39. J. E. Griffin & M. Kolossiatis & M. F. J. Steel, 2013. "Comparing distributions by using dependent normalized random-measure mixtures," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 499-529, June.
    40. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    41. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    42. Kamil Makieia & Jacek Osiewalski, 2018. "Cost Efficiency Analysis of Electricity Distribution Sector under Model Uncertainty," The Energy Journal, , vol. 39(4), pages 31-56, July.
    43. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    44. Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
    45. Sukhmani Sidhu & Kanchan Jain & Suresh Kumar Sharma, 2018. "Bayesian estimation of generalized gamma shared frailty model," Computational Statistics, Springer, vol. 33(1), pages 277-297, March.
    46. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    47. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    48. A. Assaf, 2011. "Accounting for technological differences in modelling the performance of airports: a Bayesian approach," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2267-2275.
    49. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    50. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    51. Areal, Francisco J. & Jones, Philip J. & Mortimer, Simon R. & Wilson, Paul, 2018. "Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production," Land Use Policy, Elsevier, vol. 75(C), pages 314-326.
    52. Christoph Pross & Christoph Strumann & Alexander Geissler & Helmut Herwartz & Nadja Klein, 2018. "Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-30, September.
    53. Anup Malani & Tomas Philipson & Guy David, 2003. "Theories of Firm Behavior in the Nonprofit Sector. A Synthesis and Empirical Evaluation," NBER Chapters, in: The Governance of Not-for-Profit Organizations, pages 181-216, National Bureau of Economic Research, Inc.
    54. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    55. Jerzy Marzec & Andrzej Pisulewski, 2015. "Analysis of the Economic Activity of Dairy Farms in Poland: Results obtained from the Short-run Cost Function," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 167-182.
    56. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    57. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    58. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    59. Bo Hsiao & Li‐Hsueh Chen & Huei‐Ting Wu, 2019. "Assessing performance of Taiwan hospitals using data envelopment analysis: In view of ownership," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 602-616, January.
    60. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
    61. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    62. Adnan Kasman & Evrim Turgutlu, 2011. "Performance of European insurance firms in the single insurance market," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 363-378.
    63. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    64. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.
    65. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    66. Caetano Luiz Beber & Sebastian Lakner & Ioannis Skevas, 2021. "Organizational forms and technical efficiency of the dairy processing industry in Southern Brazil," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-22, December.
    67. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    68. Philippe K. Widmer & Peter Zweifel & Mehdi Farsi, 2011. "Accounting for heterogeneity in the measurement of hospital performance," ECON - Working Papers 052, Department of Economics - University of Zurich.
    69. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    70. Joseph Palardy & Todd M. Nesbit & Kerry A. Adzima, 2015. "Charter versus traditional public schools: a panel study of the technical efficiency in Ohio," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 278-295, June.
    71. Peter Zweifel & Philippe K. Widmer, 2023. "Accounting for heterogeneity in the measurement of hospital performance," Applied Economics, Taylor & Francis Journals, vol. 55(57), pages 6701-6716, December.
    72. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    73. Jorge E. Galán & Yong Tan, 2024. "Green light for green credit? Evidence from its impact on bank efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 531-550, January.
    74. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    75. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    76. Atakelty Hailu & Robert Chambers, 2012. "A Luenberger soil-quality indicator," Journal of Productivity Analysis, Springer, vol. 38(2), pages 145-154, October.
    77. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    78. Jordi Moreno-Gené & Laura Sánchez-Pulido & Eduard Cristobal-Fransi & Natalia Daries, 2018. "The Economic Sustainability of Snow Tourism: The Case of Ski Resorts in Austria, France, and Italy," Sustainability, MDPI, vol. 10(9), pages 1-20, August.
    79. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    80. Kwaku Addai & Rahmi Deniz Ozbay & Rui Alexandre Castanho & Sema Yilmaz Genc & Gualter Couto & Dervis Kirikkaleli, 2022. "Energy Productivity and Environmental Degradation in Germany: Evidence from Novel Fourier Approaches," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    81. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    82. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
    83. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    84. Ahmad, Shabbir & Shankar, Sriram & Steen, John & Verreynne, Martie-Louise & Burki, Abid Aman, 2021. "Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector," Land Use Policy, Elsevier, vol. 101(C).
    85. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    86. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    87. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    88. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    89. Kelvin_Balcombe & Dirk_Bezemer & Junior_Davis & Iain_Fraser, 2005. "Livelihoods and Farm Efficiency in Rural Georgia," Development and Comp Systems 0502005, University Library of Munich, Germany.
    90. Franc J.G.M. Klaasen & Jan R. Magnus, 2006. "Are Economic Agents Successful Optimizers? An Analysis through Service Strategy in Tennis," Tinbergen Institute Discussion Papers 06-048/2, Tinbergen Institute.
    91. Karen Eggleston & Richard Zeckhauser, 2002. "Government Contracting for Health Care," Discussion Papers Series, Department of Economics, Tufts University 0202, Department of Economics, Tufts University.
    92. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    93. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
    94. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    95. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    96. Idaira Cabrera‐Suárez & Jorge V. Pérez‐Rodríguez, 2021. "Bank branch performance and cost efficiency: A stochastic frontier panel data approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5850-5863, October.
    97. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    98. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    99. James M. Sfiridis & Kenneth N. Daniels, 2004. "The Relative Cost Efficiency of Stock versus Mutual Thrifts: A Bayesian Approach," The Financial Review, Eastern Finance Association, vol. 39(1), pages 153-179, February.
    100. Klaassen, F.J.G.M. & Magnus, J.R., 2006. "Are Economic Agents Successful Optimizers? An Analysis Through Strategy in Tennis," Other publications TiSEM 73e12d86-8fe4-4a87-9181-7, Tilburg University, School of Economics and Management.
    101. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    102. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    103. Jee-Seon Kim & Edward Frees, 2007. "Multilevel Modeling with Correlated Effects," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 505-533, December.
    104. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    105. Tiemann, Oliver & Schreyögg, Jonas & Busse, Reinhard, 2012. "Hospital ownership and efficiency: A review of studies with particular focus on Germany," Health Policy, Elsevier, vol. 104(2), pages 163-171.
    106. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    107. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    108. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
    109. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    110. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    111. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    112. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    113. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    114. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    115. Makiela, Kamil, 2010. "State Level Efficiency Measures for Healthcare Systems," MPRA Paper 62172, University Library of Munich, Germany.
    116. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    117. Kejia Chu & Ning Zhang & Zhongfei Chen, 2015. "The Efficiency and Its Determinants for China’s Medical Care System: Some Policy Implications for Northeast Asia," Sustainability, MDPI, vol. 7(10), pages 1-20, October.
    118. Gillian Currie & Cam Donaldson & Mingshan Lu, 2003. "What Does Canada Profit from the For-Profit Debate on Health Care?," Canadian Public Policy, University of Toronto Press, vol. 29(2), pages 227-251, June.
    119. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    120. Ramsey, Austin F. & Wang, Huaiyu, 2018. "Non-Farm Income and Technical Efficiency in the Uplands of Yunnan, China: A Bayesian Non-Crossing Quantile Regression Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274375, Agricultural and Applied Economics Association.
    121. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    122. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
    123. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    124. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    125. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
    126. Antony Andrews & Grigorios Emvalomatis, 2024. "Do adjustment costs constrain public healthcare providers’ technical efficiency? Evidence from the New Zealand Public Healthcare System," Health Care Management Science, Springer, vol. 27(2), pages 268-283, June.
    127. K. M. Matawie & A. Assaf, 2010. "Bayesian and DEA efficiency modelling: an application to hospital foodservice operations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 945-953.
    128. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    129. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    130. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    131. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    132. A. George Assaf & Carlos Pestana Barros, 2013. "A Global Benchmarking of the Hotel Industry," Tourism Economics, , vol. 19(4), pages 811-821, August.
    133. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    134. Xiaohui Zhang & Katharina Hauck & Xueyan Zhao, 2013. "Patient Safety In Hospitals – A Bayesian Analysis Of Unobservable Hospital And Specialty Level Risk Factors," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1158-1174, September.
    135. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    136. Assaf, A. George & Josiassen, Alexander, 2012. "European vs. U.S. airlines: Performance comparison in a dynamic market," Tourism Management, Elsevier, vol. 33(2), pages 317-326.
    137. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    138. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.

  47. Koop, G. & Osiewalski, J. & Steel, M.F.J., 1994. "Hospital efficiency analysis through individual effects : A Bayesian approach," Discussion Paper 1994-47, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    2. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    3. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.

  48. Koop, G. & Osiewalski, J. & Steel, M.F.J., 1994. "Bayesian efficiency analysis with a flexible form : The aim cost function," Discussion Paper 1994-13, Tilburg University, Center for Economic Research.

    Cited by:

    1. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    2. Eduardo Ley & Mark F.J. Steel, 1995. "On the Estimation of Demand Systems Through Consumption Efficiency," Econometrics 9503001, University Library of Munich, Germany, revised 22 Feb 1996.
    3. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.
    4. William Barnett & Milka Kirova & Meenakshi Pasupathy, 2012. "Technology Modeling: Curvature is not Sufficient for Regularity," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201214, University of Kansas, Department of Economics, revised Sep 2012.
    5. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    6. McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
    7. William A. Barnett & Meenakshi Pasupathy, 2001. "Regularity Of The Generalized Quadratic Production Model: A Counterexample," Econometrics 0112001, University Library of Munich, Germany.
    8. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    9. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    10. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    11. Gordon, S. & Belanger, G., 1995. "Echantillonnage de Gibbs et autres application econometriques des chaines merkoviennes," Papers 9509, Laval - Recherche en Politique Economique.
    12. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    13. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Elvira Haezendonck & Julien van den Broeck & Tim Jans, 2011. "Analysing the lobby-effect of port competitiveness’ determinants: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 36(2), pages 113-123, October.
    15. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    16. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    17. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    18. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    19. Matteo Manera & Bruno Sitzia, 2005. "Empirical factor demands and flexible functional forms: a bayesian approach," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 57-75.
    20. Koop, G. & Osiewalski, J. & Steel, M.F.J., 1994. "Hospital efficiency analysis through individual effects : A Bayesian approach," Other publications TiSEM dd6fed13-3fda-461f-9393-e, Tilburg University, School of Economics and Management.
    21. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    22. Dashti, Imad, 2003. "Inference from concave stochastic frontiers and the covariance of firm efficiency measures across firms," Energy Economics, Elsevier, vol. 25(6), pages 585-601, November.
    23. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    24. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    25. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    26. Lewis, Danielle & Webb, James R., 2007. "Potential cost synergies from banks acquiring real estate brokerage services," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2347-2363, August.
    27. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    28. Hilmer, Christiana E. & Holt, Matthew T., 2000. "A Comparison Of Resampling Techniques When Parameters Are On A Boundary: The Bootstrap, Subsample Bootstrap, And Subsample Jackknife," 2000 Annual meeting, July 30-August 2, Tampa, FL 21810, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    29. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
    30. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    31. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

  49. KOOP, Gary & STEEL, Mark F. & OSIEWALSKI, Jacek, 1994. "Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling," LIDAM Discussion Papers CORE 1994061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Eduardo Ley & Mark F.J. Steel, 1995. "On the Estimation of Demand Systems Through Consumption Efficiency," Econometrics 9503001, University Library of Munich, Germany, revised 22 Feb 1996.
    2. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.
    3. Danielle Lewis & Randy Anderson, 1999. "Residential Real Estate Brokerage Efficiency and the Implications of Franchising: A Bayesian Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(3), pages 543-560, September.
    4. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    5. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    6. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    7. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    8. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    9. Koop, G. & Osiewalski, J. & Steel, M.F.J., 1994. "Hospital efficiency analysis through individual effects : A Bayesian approach," Other publications TiSEM dd6fed13-3fda-461f-9393-e, Tilburg University, School of Economics and Management.
    10. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    11. Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    12. Philip M. Bodman, 1999. "Labour Market Inefficiency and Frictional Unemployment in Australia and its States: A Stochastic Frontier Approach," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 138-148, June.
    13. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    14. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, December.
    15. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.

  50. Koop, Gary & Steel, Mark F.J., 1993. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," DES - Working Papers. Statistics and Econometrics. WS 3706, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Sevan Gulesserian & Mohitosh Kejriwal, 2014. "On the power of bootstrap tests for stationarity: a Monte Carlo comparison," Empirical Economics, Springer, vol. 46(3), pages 973-998, May.
    2. Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J., 1992. "Bayesian long-run prediction in time series models," UC3M Working papers. Economics 2822, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
    4. Kim, Jae & Choi, In, 2015. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation based on Enlightened Judgement," MPRA Paper 68411, University Library of Munich, Germany.

  51. Fernandez, C. & Osiewalski, J. & Steel, M.F.J., 1993. "Marginal Equivalence in V-Spherical Models," Papers 9374, Tilburg - Center for Economic Research.

    Cited by:

    1. James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.

  52. Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J., 1992. "Bayesian long-run prediction in time series models," UC3M Working papers. Economics 2822, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Sylvia Kaufmann & Johann Scharler, 2013. "Bank-Lending Standards, Loan Growth and the Business Cycle in the Euro Area," Working Papers 2013-34, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Koop, G. & Steel, M.F.J., 1991. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," Discussion Paper 1991-50, Tilburg University, Center for Economic Research.
    3. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    4. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    5. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    6. Alexander Vosseler & Enzo Weber, 2018. "Forecasting seasonal time series data: a Bayesian model averaging approach," Computational Statistics, Springer, vol. 33(4), pages 1733-1765, December.
    7. Lubrano, Michel, 1995. "Testing for unit roots in a Bayesian framework," Journal of Econometrics, Elsevier, vol. 69(1), pages 81-109, September.
    8. K. M. Matawie & A. Assaf, 2010. "Bayesian and DEA efficiency modelling: an application to hospital foodservice operations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 945-953.

  53. Ley, Eduardo & Steel, Mark F.J., 1992. "Bayesian econometrics:conjugate analysis and rejection sampling using mathematica," UC3M Working papers. Economics 2887, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Eduardo Ley & Mark F.J. Steel, 1995. "On the Estimation of Demand Systems Through Consumption Efficiency," Econometrics 9503001, University Library of Munich, Germany, revised 22 Feb 1996.
    2. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.

  54. Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J. & Broeck, Julien Van den, 1992. "Stochastic frontier models: a bayesian perspective," UC3M Working papers. Economics 2823, Universidad Carlos III de Madrid. Departamento de Economía.

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    1. Dempsey-Brench, Zara & Volta, Nicola, 2018. "A cost-efficiency analysis of European air navigation service providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 11-23.
    2. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    3. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    4. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    5. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
    6. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    7. Antony Andrews & Sean Kimpton & Omphile Temoso, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Working Papers 2021-02, Auckland University of Technology, Department of Economics.
    8. Gstach, Dieter, 2005. "Estimating output targets to evaluate output-specific efficiencies: A statistical framework," European Journal of Operational Research, Elsevier, vol. 161(2), pages 564-578, March.
    9. Efthymios Tsionas, 2000. "Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 13(3), pages 183-205, May.
    10. Voltes-Dorta, Augusto & Lei, Zheng, 2013. "The impact of airline differentiation on marginal cost pricing at UK airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 72-88.
    11. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    12. Koop, Gary & Li, Kai, 2001. "The valuation of IPO and SEO firms," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 375-401, September.
    13. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    14. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    15. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Bayesian Efficiency Analysis with a Flexible Form: The AIM Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 339-346, July.
    16. Tongzon, Jose & Heng, Wu, 2005. "Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 405-424, June.
    17. Misgan Desale Nigusie, 2024. "Normal-beta exponential stochastic frontier model: Maximum simulated likelihood approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(3), pages 489-504, September.
    18. Maria Olivares & Heike Wetzel, 2014. "Editor's Choice Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," CESifo Economic Studies, CESifo Group, vol. 60(4), pages 653-680.
    19. Deng, Yaguo, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    21. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.
    22. Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Other publications TiSEM 70bc4936-7304-4e87-910c-b, Tilburg University, School of Economics and Management.
    23. Shabbir Ahmad & Sriram Shankar & John Steen & Martie-Louise Verreynne & Abid Aman Burki, 2018. "What Drives Smallholders' Productivity in Pakistan's Horticultural Sector?," Discussion Papers Series 597, School of Economics, University of Queensland, Australia.
    24. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.
    25. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    26. Scotti, Davide & Volta, Nicola, 2017. "Profitability change in the global airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 1-12.
    27. Lyubov A. Kurkalova & Alicia L. Carriquiry, 2000. "Bayesian Estimation of Technical Efficiency of a Single Input," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 00-wp254, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    28. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.
    29. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    30. Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015. "Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency," Discussion Papers 0172, Instituto de Pesquisa Econômica Aplicada - IPEA.
    31. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    32. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    33. Bongo Adi & Ernest Ndukwe & Nkemdilim Iheanachor & Chukwuma Dim, 2013. "Do Privatisation Model, Contractual and Institutional Factors Play Any Role in Infrastructure Post-privatisation Efficiency? Exploring Port Concessions in Nigeria," Journal of Infrastructure Development, India Development Foundation, vol. 5(2), pages 121-135, December.
    34. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
    35. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    36. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    37. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    38. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    39. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    40. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    41. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    42. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    43. Sun, Shengmin & Lopez, Rigoberto A. & Xiaoou Liu, 2016. "Property Rights, Labor Mobility and Collectivization: The Impact of Institutional Changes on China’s Agriculture in 1950-1978," Working Papers 41, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    44. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    45. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    46. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    47. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    48. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    49. AGRELL, Per & FARSI, Mehdi & FILIPPINI, Massimo & KOLLER, Martin, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," LIDAM Discussion Papers CORE 2013003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    50. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    51. Kamil Makieła, 2012. "Dekompozycja strukturalna wzrostu gospodarczego z wykorzystaniem bayesowskich modeli granicznych na przykładzie krajów UE15," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 26, pages 13-27.
    52. Wu, Ji & Guo, Mengmeng & Chen, Minghua & Jeon, Bang Nam, 2019. "Market power and risk-taking of banks: Some semiparametric evidence from emerging economies," Emerging Markets Review, Elsevier, vol. 41(C).
    53. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    54. Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Working Paper Series in Economics 223, University of Lüneburg, Institute of Economics.
    55. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    56. Sarmiento Paipilla, N.M. & Galán, Jorge E., 2015. "The Influence of Risk-taking on Bank Efficiency : Evidence from Colombia," Other publications TiSEM f7a73cdb-55a2-40d3-936f-7, Tilburg University, School of Economics and Management.
    57. Shabbir Ahmad, 2020. "Estimating input-mix efficiency in a parametric framework: application to state-level agricultural data for the United States," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3976-3997, July.
    58. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    59. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    60. Sakouvogui Kekoura & Guilavogui Mama Genevieve, 2022. "How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures," Open Economics, De Gruyter, vol. 5(1), pages 11-29, January.
    61. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    62. Kamel Helali & Maha Kalai, 2015. "Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 105-130, June.
    63. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    64. Areal, Francisco J. & Jones, Philip J. & Mortimer, Simon R. & Wilson, Paul, 2018. "Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production," Land Use Policy, Elsevier, vol. 75(C), pages 314-326.
    65. Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
    66. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    67. Jerzy Marzec & Andrzej Pisulewski, 2015. "Analysis of the Economic Activity of Dairy Farms in Poland: Results obtained from the Short-run Cost Function," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 167-182.
    68. Martín, Juan Carlos & Rodríguez-Déniz, Héctor & Voltes-Dorta, Augusto, 2013. "Determinants of airport cost flexibility in a context of economic recession," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 70-84.
    69. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.
    70. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    71. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    72. Adnan Kasman & Evrim Turgutlu, 2011. "Performance of European insurance firms in the single insurance market," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 363-378.
    73. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    74. Caetano Luiz Beber & Sebastian Lakner & Ioannis Skevas, 2021. "Organizational forms and technical efficiency of the dairy processing industry in Southern Brazil," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-22, December.
    75. Sucharita Ghosh & Camilla Mastromarco, 2013. "Cross-border Economic Activities, Human Capital and Efficiency: A Stochastic Frontier Analysis for OECD Countries," The World Economy, Wiley Blackwell, vol. 36(6), pages 761-785, June.
    76. Shirong Zhao & Jeremy Losak, 2024. "Two-tiered stochastic frontier models: a Bayesian perspective," Journal of Productivity Analysis, Springer, vol. 61(2), pages 85-106, April.
    77. Elvira Haezendonck & Julien van den Broeck & Tim Jans, 2011. "Analysing the lobby-effect of port competitiveness’ determinants: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 36(2), pages 113-123, October.
    78. Mª Pilar García-Alcober & Emili Tortosa-Ausina & Diego Prior & Manuel Illueca, 2014. "Cost and revenue efficiency in Spanish banking: What distributions show," Working Papers 2014/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    79. Owusu, Rebecca & Kwadzo, Moses & Ghartey, William, 2022. "Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
    80. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
    81. Robin C. Sickles & Zhichao Wang & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis for Healthcare, with Illustrations in R," CEPA Working Papers Series WP052022, School of Economics, University of Queensland, Australia.
    82. Jorge E. Galán & Yong Tan, 2024. "Green light for green credit? Evidence from its impact on bank efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 531-550, January.
    83. Antony Andrews, 2021. "Persistence of Cost Inefficiency Among Schools: A Myth or Reality?," Economic Papers, The Economic Society of Australia, vol. 40(1), pages 73-77, March.
    84. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    85. Yang, Jin & Wang, Hui & Jin, Songqing & Chen, Kevin Z. & Riedinger, Jeffrey & Chao, Peng, 2014. "Migration, local off-farm employment, and agricultural production efficiency: Evidence from China:," IFPRI discussion papers 1338, International Food Policy Research Institute (IFPRI).
    86. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.
    87. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    88. Tsolas, Ioannis E., 2014. "Precious metal mutual fund performance appraisal using DEA modeling," Resources Policy, Elsevier, vol. 39(C), pages 54-60.
    89. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    90. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    91. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    92. William & C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Papers 2006.07780, arXiv.org.
    93. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    94. Iordanis Parikoglou & Grigorios Emvalomatis & Doris Läpple & Fiona Thorne & Michael Wallace, 2024. "The contribution of innovation to farm-level productivity," Journal of Productivity Analysis, Springer, vol. 62(2), pages 239-255, October.
    95. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    96. Lovell, Knox, 2001. "Future Research Opportunities in Efficiency and Productivity Analysis," Efficiency Series Papers 2001/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    97. Aivazian, Sergei & Afanasiev, Mikhail & Kudrov, Alexander, 2016. "Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 24-46.
    98. Ahmad, Shabbir & Shankar, Sriram & Steen, John & Verreynne, Martie-Louise & Burki, Abid Aman, 2021. "Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector," Land Use Policy, Elsevier, vol. 101(C).
    99. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    100. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    101. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    102. Mastromarco, Camilla & Zago, Angelo, 2012. "On modeling the determinants of TFP growth," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 373-382.
    103. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    104. Voltes-Dorta, Augusto & Pagliari, Romano, 2012. "The impact of recession on airports' cost efficiency," Transport Policy, Elsevier, vol. 24(C), pages 211-222.
    105. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    106. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    107. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    108. Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016. "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper 80295, University Library of Munich, Germany.
    109. Deepankar Sinha & Shuvo Roy Chowdhury, 2017. "Optimizing Private and Public Mode of Operation in Major Ports of India for Better Customer Service," Working Papers 1732, Indian Institute of Foreign Trade.
    110. Deng, Na-Qian & Liu, Li-Qiu & Deng, Ying-Zhi, 2018. "Estimating the effects of restructuring on the technical and service-quality efficiency of electricity companies in China," Utilities Policy, Elsevier, vol. 50(C), pages 91-100.
    111. Thaís C.O. da Fonseca, 2005. "Fronteira de Produção Estocástica: Uma Abordagem Bayesiana," Discussion Papers 1073, Instituto de Pesquisa Econômica Aplicada - IPEA.
    112. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    113. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    114. Barry Arnold & Robert Beaver & A. Azzalini & N. Balakrishnan & A. Bhaumik & D. Dey & C. Cuadras & J. Sarabia & Barry Arnold & Robert Beaver, 2002. "Skewed multivariate models related to hidden truncation and/or selective reporting," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 11(1), pages 7-54, June.
    115. Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.
    116. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    117. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    118. Feder, Christophe, 2018. "The effects of disruptive innovations on productivity," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 186-193.
    119. James M. Sfiridis & Kenneth N. Daniels, 2004. "The Relative Cost Efficiency of Stock versus Mutual Thrifts: A Bayesian Approach," The Financial Review, Eastern Finance Association, vol. 39(1), pages 153-179, February.
    120. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
    121. Koop, G. & Osiewalski, J. & Steel, M.F.J., 1994. "Hospital efficiency analysis through individual effects : A Bayesian approach," Other publications TiSEM dd6fed13-3fda-461f-9393-e, Tilburg University, School of Economics and Management.
    122. Ha Thu Vu & Sean Turnell, 2010. "Cost Efficiency of the Banking Sector in Vietnam: A Bayesian Stochastic Frontier Approach with Regularity Constraints," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 115-139, June.
    123. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    124. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    125. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    126. Dashti, Imad, 2003. "Inference from concave stochastic frontiers and the covariance of firm efficiency measures across firms," Energy Economics, Elsevier, vol. 25(6), pages 585-601, November.
    127. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    128. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    129. Rien Wagenvoort & Paul Schure, 2005. "A Recursive Thick Frontier Approach To Estimating Production Efficiency," Econometrics Working Papers 0503, Department of Economics, University of Victoria.
    130. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    131. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    132. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    133. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    134. Henderson, Heath & Follett, Lendie, 2022. "Targeting social safety net programs on human capabilities," World Development, Elsevier, vol. 151(C).
    135. Marzec, Jerzy & Pisulewski, Andrzej, 2019. "The Measurement of Time Varying Technical Efficiency and Productivity Change in Polish Crop Farms," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(1), March.
    136. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    137. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    138. Ramsey, Austin F. & Wang, Huaiyu, 2018. "Non-Farm Income and Technical Efficiency in the Uplands of Yunnan, China: A Bayesian Non-Crossing Quantile Regression Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274375, Agricultural and Applied Economics Association.
    139. Makiela, Kamil & Ouattara, Bazoumana, 2018. "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, vol. 72(C), pages 296-305.
    140. Philip M. Bodman, 1999. "Labour Market Inefficiency and Frictional Unemployment in Australia and its States: A Stochastic Frontier Approach," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 138-148, June.
    141. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    142. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    143. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    144. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    145. Tonini, Axel & Matus, Silvia Saravia & Gomez y Paloma, Sergio, 2011. "A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116088, European Association of Agricultural Economists.
    146. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
    147. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
    148. Kamil Makieła, 2014. "Bayesian Stochastic Frontier Analysis of Economic Growth and Productivity Change in the EU, USA, Japan and Switzerland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(3), pages 193-216, September.
    149. Antony Andrews & Grigorios Emvalomatis, 2024. "Do adjustment costs constrain public healthcare providers’ technical efficiency? Evidence from the New Zealand Public Healthcare System," Health Care Management Science, Springer, vol. 27(2), pages 268-283, June.
    150. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    151. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    152. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    153. Efthymios G. Tsionas, 2001. "Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors," Computational Statistics, Springer, vol. 16(4), pages 559-575, December.
    154. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    155. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    156. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    157. Clifford B. Sowell & Wm. Stewart Mounts Jr., 2005. "Ability, Age, and Performance," Journal of Sports Economics, , vol. 6(1), pages 78-97, February.
    158. Mrinal Kumar Dasgupta & Deepankar Sinha, 2016. "Impact of Privatization of Ports on Relative Efficiency of Major Ports of India," Foreign Trade Review, , vol. 51(3), pages 225-247, August.
    159. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    160. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    161. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    162. Troutt, Marvin D. & Hu, Michael Y. & Shanker, Murali S., 2005. "A distribution-free approach to estimating best response values with application to mutual fund performance modeling," European Journal of Operational Research, Elsevier, vol. 166(2), pages 520-527, October.
    163. Russ Kashian & Nicholas Lovett & Yuhan Xue, 2020. "Has the affordable care act affected health care efficiency?," Journal of Regulatory Economics, Springer, vol. 58(2), pages 193-233, December.
    164. Tsionas, Efthymios G., 2003. "Combining DEA and stochastic frontier models: An empirical Bayes approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 499-510, June.
    165. Annaert, Jan & van den Broeck, Julien & Vander Vennet, Rudi, 2003. "Determinants of mutual fund underperformance: A Bayesian stochastic frontier approach," European Journal of Operational Research, Elsevier, vol. 151(3), pages 617-632, December.
    166. Martín, Juan Carlos & Voltes-Dorta, Augusto, 2011. "The econometric estimation of airports' cost function," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 112-127, January.
    167. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    168. Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
    169. Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

  55. Osiewalski, Jacek & Steel, Mark F.J., 1992. "Robust Bayesian inference in Iq-Spherical models," UC3M Working papers. Economics 2843, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "Robust Bayesian Inference on Scale Parameters," Other publications TiSEM 7ac8a9cf-881f-4009-8308-7, Tilburg University, School of Economics and Management.
    2. José T. A. S. Ferreira & Mark F. J. Steel, 2005. "Modelling directional dispersion through hyperspherical log‐splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(4), pages 599-616, September.

  56. Raa, Thijs ten & Steel, Mark F.J., 1992. "Revised stochastic analysis of an input-output model," UC3M Working papers. Economics 2836, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Malcolm Beynon & Max Munday & Annette Roberts, 2005. "Ranking sectors using fuzzy output multipliers," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 237-253.
    2. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    3. C. Oliveira & D. Coelho & C. H. Antunes, 2016. "Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review," Annals of Operations Research, Springer, vol. 247(2), pages 471-502, December.
    4. Seung, Chang K. & Kim, Do-Hoon & Yi, Ju-Hyun & Song, Se-Hyun, 2021. "Accounting for price responses in economic evaluation of climate impacts for a fishery," Ecological Economics, Elsevier, vol. 181(C).
    5. Manfred Lenzen, 2001. "A Generalized Input-Output Multiplier Calculus for Australia," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 65-92.
    6. Thijs ten Raa & Pieter Kop Jansen, 1998. "Bias and Sensitivity of Multipliers," Economic Systems Research, Taylor & Francis Journals, vol. 10(3), pages 275-284.

  57. BAUWENS, Luc & FIEBIG, Denzil & STEEL, Mark, 1992. "Estimating End-Use Demand : A Bayesian Approach," LIDAM Discussion Papers CORE 1992052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    2. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    3. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    4. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
    5. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    6. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    8. Brabec, Marek & Konár, Ondrej & Pelikán, Emil & Malý, Marek, 2008. "A nonlinear mixed effects model for the prediction of natural gas consumption by individual customers," International Journal of Forecasting, Elsevier, vol. 24(4), pages 659-678.
    9. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    10. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    11. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    12. Fan Zhang, 2015. "Energy Price Reform and Household Welfare: The Case of Turkey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    13. Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
    14. Muhammad, Akmal, 2002. "The structure of consumer energy demand in Australia: an application of a dynamic almost ideal demand system," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125050, Australian Agricultural and Resource Economics Society.
    15. Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
    16. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  58. Osiewalski, Jacek & Steel, Mark F.J., 1992. "Bayesian marginal equivalence of elliptical regression models," UC3M Working papers. Economics 10950, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Jacek Osiewalski, 2011. "Bayesian Variations on the Frisch and Waugh Theme," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(1), pages 39-47, March.
    2. Arellano-Valle, R.B. & del Pino, G. & Iglesias, P., 2006. "Bayesian inference in spherical linear models: robustness and conjugate analysis," Journal of Multivariate Analysis, Elsevier, vol. 97(1), pages 179-197, January.

  59. Steel, M.F.J., 1991. "Bayesian Inference in Time Series," Papers 9153, Tilburg - Center for Economic Research.

    Cited by:

    1. José T. A. S. Ferreira & Mark F. J. Steel, 2005. "Modelling directional dispersion through hyperspherical log‐splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(4), pages 599-616, September.
    2. Osiewalski, J. & Steel, M.F.J., 1991. "Bayesian marginal equivalence of elliptical regression models," Other publications TiSEM 9ecaf734-de5e-42e4-9017-8, Tilburg University, School of Economics and Management.
    3. Emiliano Santoro, 2006. "Macroeconomic fluctuations and the firms' rate of growth distribution: evidence from UK and US quoted companies," Department of Economics Working Papers 0606, Department of Economics, University of Trento, Italia.

  60. Osiewalski, Jacek & Steel, Mark F.J., 1991. "Robust bayesian inference in empirical regression models," UC3M Working papers. Economics 2814, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Osiewalski, Jacek & Steel, Mark F.J., 1992. "Posterior moments of scale parameters in elliptical regression models," UC3M Working papers. Economics 10879, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.

  61. Chib, S. & Osiewalski, J. & Steel, M.F.J., 1991. "A Baysian Note on Competing Correlation Structures in the Dynamic Linear Regression Model," Papers 9122, Tilburg - Center for Economic Research.

    Cited by:

    1. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    2. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 1. Model Comparison and Posterior Odds," Environment and Planning A, , vol. 27(3), pages 447-469, March.

  62. Chib, B. & Osiewalski, J. & Steel, M., 1990. "Regression Models Under Competing Covariance Matrices: A Baysian Perspective," Papers 9063, Tilburg - Center for Economic Research.

    Cited by:

    1. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    2. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    3. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 1. Model Comparison and Posterior Odds," Environment and Planning A, , vol. 27(3), pages 447-469, March.
    4. N/A, 1996. "Obituary—Glenda H Laws, 1959–1996," Environment and Planning A, , vol. 28(10), pages 1909-1909, October.

  63. Osiewalski, J. & Steel, M., 1990. "Robust Bayesian Inference In Elliptical Regression Models," Papers 9032, Tilburg - Center for Economic Research.

    Cited by:

    1. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Russo, Cibele M. & Paula, Gilberto A. & Aoki, Reiko, 2009. "Influence diagnostics in nonlinear mixed-effects elliptical models," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4143-4156, October.
    3. Jacek Osiewalski, 1999. "Bayesian analysis of nonlinear regression with equicorrelated elliptical errors," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(2), pages 339-344, December.
    4. Jacek Osiewalski & Aleksander Welfe, 1997. "The Price-Wage Mechanism in Poland: An Endogenous Switching Model," Economic Change and Restructuring, Springer, vol. 30(2), pages 205-220, May.
    5. Koop, G. & Steel, M.F.J., 1991. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," Discussion Paper 1991-50, Tilburg University, Center for Economic Research.
    6. Provost, Serge B. & Cheong, Young-Ho, 1998. "The Probability Content of Cones in Isotropic Random Fields," Journal of Multivariate Analysis, Elsevier, vol. 66(2), pages 237-254, August.
    7. Jacek Osiewalski, 2011. "Bayesian Variations on the Frisch and Waugh Theme," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(1), pages 39-47, March.
    8. Nadarajah Saralees, 2007. "A Truncated Bivariate t Distribution," Stochastics and Quality Control, De Gruyter, vol. 22(2), pages 303-313, January.
    9. Ossama Mikhail & Curtis J. Eberwein & Jagdish Handa, 2003. "Testing and Estimating Persistence in Canadian Unemployment," Econometrics 0311004, University Library of Munich, Germany.
    10. Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J., 1992. "Bayesian long-run prediction in time series models," UC3M Working papers. Economics 2822, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Arellano-Valle, R.B. & del Pino, G. & Iglesias, P., 2006. "Bayesian inference in spherical linear models: robustness and conjugate analysis," Journal of Multivariate Analysis, Elsevier, vol. 97(1), pages 179-197, January.
    12. James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.
    13. Kim, Hyoung-Moon & Mallick, Bani K., 2003. "A note on Bayesian spatial prediction using the elliptical distribution," Statistics & Probability Letters, Elsevier, vol. 64(3), pages 271-276, September.
    14. O. Mikhail & C. J. Eberwein & J. Handa, 2006. "Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1809-1819.
    15. Lachos, Victor H. & Castro, Luis M. & Dey, Dipak K., 2013. "Bayesian inference in nonlinear mixed-effects models using normal independent distributions," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 237-252.
    16. Adeniyi, Isaac Adeola, 2020. "Bayesian Generalized Linear Mixed Effects Models Using Normal-Independent Distributions: Formulation and Applications," MPRA Paper 99165, University Library of Munich, Germany.
    17. Jiang, Jie & Wang, Lichun, 2024. "Bayes minimax estimator of the mean vector in an elliptically contoured distribution," Statistics & Probability Letters, Elsevier, vol. 213(C).

  64. Chib, S. & Osiewalski, J. & Steel, M., 1990. "Posterior Inference On The Degrees Of Freedom Parameter In Multivariate-T Regression Models," Papers 9043, Tilburg - Center for Economic Research.

    Cited by:

    1. Nadarajah Saralees, 2007. "A Truncated Bivariate t Distribution," Stochastics and Quality Control, De Gruyter, vol. 22(2), pages 303-313, January.
    2. James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.

  65. OSIEWALSKI, Jacek & STEEL, Mark, 1990. "Semi-conjugate prior densities in multivariate t regression models," LIDAM Discussion Papers CORE 1990018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Vos, A.F. & Vries, J.J., 1990. "The likelihood function of a generalized gravity model : handling the implicit singularity of a nonlinear transformation," Serie Research Memoranda 0023, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  66. Steel, M.F.J. & Richard, J.F., 1989. "Bayesian Multivariate Exogeneity Analysis: An Application To A Uk Money Demand Equation," Papers 8929, Tilburg - Center for Economic Research.

    Cited by:

    1. Steel, M.F.J., 1989. "Weak Exogeneity In Misspecified Sequential Models," Papers 8942, Tilburg - Center for Economic Research.
    2. van Wijnbergen, S., 1993. "Trade reform, policy uncertainty and the current account : A non-expected utility approach," Other publications TiSEM dd672b28-6648-4b14-8ad3-8, Tilburg University, School of Economics and Management.
    3. Greenberg, J., 1993. "On the sensitivity of von Neuman and Morgenstern abstract stable sets : The stable and the individual stable bargaining set," Other publications TiSEM f8331cc7-3adf-4583-8921-0, Tilburg University, School of Economics and Management.
    4. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
    5. de Zeeuw, A.J. & van der Ploeg, F., 1992. "Difference games and policy evaluation : A conceptual framework," Other publications TiSEM b573e1e4-4001-4ff2-b832-f, Tilburg University, School of Economics and Management.
    6. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    7. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
    8. Kapteyn, A.J. & Kooreman, P., 1993. "Household labor supply : What kind of data can tell us how many decision makers there are?," Other publications TiSEM 16fc8598-a1e8-4cca-8e6e-8, Tilburg University, School of Economics and Management.
    9. van Soest, A.H.O. & Kooreman, P., 1992. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Other publications TiSEM 4be16cc9-b9e5-4232-b6fd-1, Tilburg University, School of Economics and Management.
    10. Borm, P.E.M. & Keiding, H. & McLean, R.P. & Oortwijn, S. & Tijs, S.H., 1993. "The compromise value for NTU-games," Other publications TiSEM 27c574e5-d810-484c-a668-3, Tilburg University, School of Economics and Management.

  67. Osiewalski, J. & Steel, M.F.J., 1989. "A Bayesian Analysis Of Exogeneity In Models Pooling Time- Series And Cross -Section Data," Papers 8914, Tilburg - Center for Economic Research.

    Cited by:

    1. Anna Pajor, 2011. "A Bayesian Analysis of Exogeneity in Models with Latent Variables," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(2), pages 49-73, June.

  68. Steel, M.F.J., 1989. "A Bayesian Analysis Of Simultaneous Equation Models By Combining Recursive Analytical And Numerical Approaches," Papers 8908, Tilburg - Center for Economic Research.

    Cited by:

    1. Steel, M.F.J., 1991. "Bayesian inference in time series," Discussion Paper 1991-53, Tilburg University, Center for Economic Research.
    2. Bomhoff, E.J., 1991. "Between price reform and privatization : Eastern Europe in transition," Other publications TiSEM 76c6aa0b-4318-4ea1-8785-1, Tilburg University, School of Economics and Management.
    3. Hoogerheide, L.F. & Kleibergen, F.R. & van Dijk, H.K., 2006. "Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data," Econometric Institute Research Papers EI 2006-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Justel, Ana & Sánchez, María Jesús, 1994. "Grupos atípicos en modelos econométricos," DES - Documentos de Trabajo. Estadística y Econometría. DS 10755, Universidad Carlos III de Madrid. Departamento de Estadística.

  69. Steel, M.F.J., 1988. "Seemingly unrelated regression equation systems under diffuse stochastic prior information : A recursive analytical approach," Discussion Paper 1988-5, Tilburg University, Center for Economic Research.

    Cited by:

    1. Steel, M.F.J., 1989. "Weak Exogeneity In Misspecified Sequential Models," Papers 8942, Tilburg - Center for Economic Research.
    2. Steel, M.F.J., 1989. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Other publications TiSEM b3f4c27f-4dab-46b3-9587-6, Tilburg University, School of Economics and Management.

  70. Nijman, T.E. & Steel, M.F.J., 1988. "Exclusion restrictions in instrumental variables equations," Research Memorandum FEW 327, Tilburg University, School of Economics and Management.

    Cited by:

    1. van Damme, E.E.C., 1991. "Equilibrium selection in 2x2 games," Other publications TiSEM 8553edfd-4c45-4e96-927c-d, Tilburg University, School of Economics and Management.

  71. STEEL, Mark F.J., 1987. "Testing for exogeneity. An application to consumption behaviour," LIDAM Reprints CORE 757, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Nijman, T.E. & Steel, M.F.J., 1990. "Exclusion restrictions in instrumental variables equations," Other publications TiSEM 2fc5f516-97b7-404e-9571-e, Tilburg University, School of Economics and Management.

Articles

  1. J E Griffin & K G Łatuszyński & M F J Steel, 2021. "In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p," Biometrika, Biometrika Trust, vol. 108(1), pages 53-69.

    Cited by:

    1. Quan Zhou & Jun Yang & Dootika Vats & Gareth O. Roberts & Jeffrey S. Rosenthal, 2022. "Dimension‐free mixing for high‐dimensional Bayesian variable selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1751-1784, November.
    2. Griffin Jim E. & Hinoveanu Laurenţiu C. & Hopker James G., 2022. "Bayesian modelling of elite sporting performance with large databases," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 18(4), pages 253-268, December.

  2. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    See citations under working paper version above.
  3. Jairo Fúquene & Mark Steel & David Rossell, 2019. "On choosing mixture components via non‐local priors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(5), pages 809-837, November.

    Cited by:

    1. José J. Quinlan & Fernando A. Quintana & Garritt L. Page, 2021. "On a class of repulsive mixture models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 445-461, June.

  4. Anabel Forte & Gonzalo Garcia‐Donato & Mark Steel, 2018. "Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression," International Statistical Review, International Statistical Institute, vol. 86(2), pages 237-258, August.

    Cited by:

    1. Sierra A. Bainter & Thomas G. McCauley & Mahmoud M. Fahmy & Zachary T. Goodman & Lauren B. Kupis & J. Sunil Rao, 2023. "Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 1032-1055, September.
    2. Jose Olmo & Marcos Sanso‐Navarro, 2021. "Modeling the spread of COVID‐19 in New York City," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1209-1229, October.
    3. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    4. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    5. Gonzalo García-Donato & María Eugenia Castellanos & Alicia Quirós, 2021. "Bayesian Variable Selection with Applications in Health Sciences," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    6. Fouskakis, Dimitris & Ntzoufras, Ioannis & Perrakis, Konstantinos, 2020. "Variations of power-expected-posterior priors in normal regression models," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    7. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2019. "Searching The Us Fdi Determinants In The Eu: Is There A Euro Effect?," Working Papers 1916, Department of Applied Economics II, Universidad de Valencia.
    8. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian Model Averaging techniques," Working Papers 2020/25, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Rolando de la Cruz & Cristian Meza & Nicolás Narria & Claudio Fuentes, 2022. "A Bayesian Change Point Analysis of the USD/CLP Series in Chile from 2018 to 2020: Understanding the Impact of Social Protests and the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    10. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model," Working Papers 2007, Department of Applied Economics II, Universidad de Valencia.
    11. Shahram Amini & Christopher F. Parmeter, 2020. "A Review of the ‘BMS’ Package for R with Focus on Jointness," Econometrics, MDPI, vol. 8(1), pages 1-21, February.
    12. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    13. Andrzej Cieślik & Oleg Gurshev & Sarhad Hamza, 2022. "Between the Eurozone crisis and the Brexit: the decade of British outward FDI into Europe," Empirical Economics, Springer, vol. 63(3), pages 1159-1192, September.
    14. Camarero, Mariam & Moliner, Sergi & Tamarit, Cecilio, 2021. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging," Japan and the World Economy, Elsevier, vol. 57(C).

  5. Catalina A. Vallejos & Mark F. J. Steel, 2017. "Bayesian survival modelling of university outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 613-631, February.
    See citations under working paper version above.
  6. Vallejos, Catalina A. & Steel, Mark F.J., 2017. "Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach," Econometrics and Statistics, Elsevier, vol. 3(C), pages 73-88.

    Cited by:

    1. Corradin, Riccardo & Nieto-Barajas, Luis Enrique & Nipoti, Bernardo, 2022. "Optimal stratification of survival data via Bayesian nonparametric mixtures," Econometrics and Statistics, Elsevier, vol. 22(C), pages 17-38.

  7. Catalina A. Vallejos & Mark F. J. Steel, 2015. "Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 697-710, June.

    Cited by:

    1. Francisco J. Rubio & Yili Hong, 2016. "Survival and lifetime data analysis with a flexible class of distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1794-1813, August.
    2. Ferreira, Paulo H. & Ramos, Eduardo & Ramos, Pedro L. & Gonzales, Jhon F.B. & Tomazella, Vera L.D. & Ehlers, Ricardo S. & Silva, Eveliny B. & Louzada, Francisco, 2020. "Objective Bayesian analysis for the Lomax distribution," Statistics & Probability Letters, Elsevier, vol. 159(C).
    3. Worku B. Ewnetu & Irène Gijbels & Anneleen Verhasselt, 2023. "Flexible two-piece distributions for right censored survival data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(1), pages 34-65, January.
    4. Francisco J. Rubio & Keming Yu, 2017. "Flexible objective Bayesian linear regression with applications in survival analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(5), pages 798-810, April.
    5. Vallejos, Catalina A. & Steel, Mark F.J., 2017. "Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach," Econometrics and Statistics, Elsevier, vol. 3(C), pages 73-88.

  8. J. E. Griffin & M. Kolossiatis & M. F. J. Steel, 2013. "Comparing distributions by using dependent normalized random-measure mixtures," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 499-529, June.

    Cited by:

    1. Jim E. Griffin & Fabrizio Leisen, 2017. "Compound random measures and their use in Bayesian non-parametrics," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(2), pages 525-545, March.
    2. Stefano Favaro & Antonio Lijoi & Igor Prunster, 2011. "Asymptotics for a Bayesian nonparametric estimator of species richness," Quaderni di Dipartimento 144, University of Pavia, Department of Economics and Quantitative Methods.
    3. Hatjispyros, Spyridon J. & Nicoleris, Theodoros & Walker, Stephen G., 2016. "Random density functions with common atoms and pairwise dependence," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 236-249.
    4. Hatjispyros, Spyridon J. & Merkatas, Christos & Nicoleris, Theodoros & Walker, Stephen G., 2018. "Dependent mixtures of geometric weights priors," Computational Statistics & Data Analysis, Elsevier, vol. 119(C), pages 1-18.
    5. Antonio Lijoi & Bernardo Nipoti, 2013. "A class of hazard rate mixtures for combining survival data from different experiments," DEM Working Papers Series 059, University of Pavia, Department of Economics and Management.
    6. François Caron & Emily B. Fox, 2017. "Sparse graphs using exchangeable random measures," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1295-1366, November.
    7. Antonio Lijoi & Bernardo Nipoti, 2014. "A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 802-814, June.
    8. Matteo Ruggiero & Matteo Sordello, 2018. "Clustering dynamics in a class of normalised generalised gamma dependent priors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(1), pages 83-98, February.

  9. Ley, Eduardo & Steel, Mark F.J., 2012. "Mixtures of g-priors for Bayesian model averaging with economic applications," Journal of Econometrics, Elsevier, vol. 171(2), pages 251-266.
    See citations under working paper version above.
  10. Rubio, F.J. & Steel, M.F.J., 2012. "On the Marshall–Olkin transformation as a skewing mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2251-2257.

    Cited by:

    1. M. C. Jones, 2015. "On Families of Distributions with Shape Parameters," International Statistical Review, International Statistical Institute, vol. 83(2), pages 175-192, August.

  11. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.

    Cited by:

    1. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2019. "Evaluating the CDF of the distribution of the stochastic frontier composed error," Journal of Productivity Analysis, Springer, vol. 52(1), pages 29-35, December.
    2. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    3. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    4. Tai-Hsin Huang & Nan-Hung Liu & Subal C. Kumbhakar, 2018. "Joint estimation of the Lerner index and cost efficiency using copula methods," Empirical Economics, Springer, vol. 54(2), pages 799-822, March.
    5. Alexandre Repkine, 2023. "The Estimation of a Polluting By-Production Technology Using Statistical Copulas," Journal of Productivity Analysis, Springer, vol. 60(1), pages 49-62, August.
    6. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    7. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    8. Aivazian, Sergei & Afanasiev, Mikhail & Rudenko, Victoria, 2014. "Analysis of dependence between the random components of a stochastic production function for the purpose of technical efficiency estimation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 3-18.
    9. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
    10. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
    11. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.

  12. Rubio, F.J. & Steel, M.F.J., 2011. "Inference for grouped data with a truncated skew-Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3218-3231, December.

    Cited by:

    1. Tu, Shiyi & Wang, Min & Sun, Xiaoqian, 2016. "Bayesian analysis of two-piece location–scale models under reference priors with partial information," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 133-144.
    2. Xun Xiao & Amitava Mukherjee & Min Xie, 2016. "Estimation procedures for grouped data – a comparative study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(11), pages 2110-2130, August.
    3. Fabrizio Leisen & Luca Rossini & Cristiano Villa, 2020. "Loss-based approach to two-piece location-scale distributions with applications to dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 309-333, June.

  13. Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.

    Cited by:

    1. Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
    2. Kurtis Shuler & Samuel Verbanic & Irene A. Chen & Juhee Lee, 2021. "A Bayesian nonparametric analysis for zero‐inflated multivariate count data with application to microbiome study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 961-979, August.
    3. Minkun Kim & David Lindberg & Martin Crane & Marija Bezbradica, 2023. "Dirichlet Process Log Skew-Normal Mixture with a Missing-at-Random-Covariate in Insurance Claim Analysis," Econometrics, MDPI, vol. 11(4), pages 1-32, October.
    4. Luis E. Nieto-Barajas & Peter Müller & Yuan Ji & Yiling Lu & Gordon B. Mills, 2012. "A Time-Series DDP for Functional Proteomics Profiles," Biometrics, The International Biometric Society, vol. 68(3), pages 859-868, September.
    5. Igor Prünster & Matteo Ruggiero, 2011. "A Bayesian nonparametric approach to modeling market share dynamics," Carlo Alberto Notebooks 217, Collegio Carlo Alberto.
    6. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    7. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    8. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    9. Casarin, Roberto & Costola, Michele, 2019. "Structural changes in large economic datasets: A nonparametric homogeneity test," Economics Letters, Elsevier, vol. 176(C), pages 55-59.
    10. Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
    11. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2015. "Bayesian nonparametric calibration and combination of predictive distributions," Working Paper 2015/03, Norges Bank.
    12. Federico Bassetti & Roberto Casarin & Fabrizio Leisen, 2013. "Beta-Product Dependent Pitman-Yor Processes for Bayesian Inference," Working Papers 2013:13, Department of Economics, University of Venice "Ca' Foscari".
    13. Roberto Leon-Gonzalez, 2018. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 17-16, National Graduate Institute for Policy Studies.
    14. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    15. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "On the stick–breaking representation of normalized inverse Gaussian priors," DEM Working Papers Series 008, University of Pavia, Department of Economics and Management.
    16. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
    17. Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
    18. De Blasi, Pierpaolo & Martínez, Asael Fabian & Mena, Ramsés H. & Prünster, Igor, 2020. "On the inferential implications of decreasing weight structures in mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 147(C).
    19. Bassetti, Federico & Casarin, Roberto & Leisen, Fabrizio, 2011. "Beta-product Poisson-Dirichlet Processes," DES - Working Papers. Statistics and Econometrics. WS 12160, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Isadora Antoniano-Villalobos & Stephen G. Walker, 2016. "A Nonparametric Model for Stationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 126-142, January.
    21. Weixuan Zhu & Fabrizio Leisen, 2015. "A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(1), pages 89-105, March.
    22. Yong Song, 2014. "Modelling Regime Switching And Structural Breaks With An Infinite Hidden Markov Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 825-842, August.
    23. Jim Griffin & Maria Kalli & Mark Steel, 2018. "Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 207-218, June.
    24. Li, Chenxing & Maheu, John M & Yang, Qiao, 2022. "An Infinite Hidden Markov Model with Stochastic Volatility," MPRA Paper 115456, University Library of Munich, Germany.
    25. Zahra Barzegar & Firoozeh Rivaz, 2020. "A scalable Bayesian nonparametric model for large spatio-temporal data," Computational Statistics, Springer, vol. 35(1), pages 153-173, March.
    26. Casarin Roberto & Peruzzi Antonio, 2024. "A Dynamic Latent-Space Model for Asset Clustering," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 379-402, April.
    27. Peluso, Stefano & Mira, Antonietta & Muliere, Pietro, 2015. "Reinforced urn processes for credit risk models," Journal of Econometrics, Elsevier, vol. 184(1), pages 1-12.

  14. Thaís C. O. Fonseca & Mark F. J. Steel, 2011. "Non-Gaussian spatiotemporal modelling through scale mixing," Biometrika, Biometrika Trust, vol. 98(4), pages 761-774.

    Cited by:

    1. Kai Yang & Peihua Qiu, 2022. "A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal Data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(1), pages 49-68, February.
    2. Vahid Tadayon & Abdolrahman Rasekh, 2019. "Non-Gaussian Covariate-Dependent Spatial Measurement Error Model for Analyzing Big Spatial Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 49-72, March.
    3. Jafari Khaledi, Majid & Zareifard, Hamid & Boojari, Hossein, 2023. "A spatial skew-Gaussian process with a specified covariance function," Statistics & Probability Letters, Elsevier, vol. 192(C).
    4. Zareifard, Hamid & Jafari Khaledi, Majid, 2013. "Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 16-28.

  15. Kolossiatis, M. & Griffin, J.E. & Steel, M.F.J., 2011. "Modeling overdispersion with the normalized tempered stable distribution," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2288-2301, July.

    Cited by:

    1. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "A new estimator of the discovery probability," DEM Working Papers Series 007, University of Pavia, Department of Economics and Management.
    2. Stefano Favaro & Antonio Lijoi & Igor Prunster, 2011. "Asymptotics for a Bayesian nonparametric estimator of species richness," Quaderni di Dipartimento 144, University of Pavia, Department of Economics and Quantitative Methods.
    3. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "A New Estimator of the Discovery Probability," Biometrics, The International Biometric Society, vol. 68(4), pages 1188-1196, December.

  16. Juárez, Miguel A. & Steel, Mark F. J., 2010. "Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-t Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 52-66.

    Cited by:

    1. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.
    2. Sylvia Frühwirth-Schnatter & Andrea Weber & Rudolf Winter-Ebmer, 2010. "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering," Economics working papers 2010-11, Department of Economics, Johannes Kepler University Linz, Austria.
    3. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    4. Fabrizi, Enrico & Salvati, Nicola & Trivisano, Carlo, 2020. "Robust Bayesian small area estimation based on quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    5. Haupt, Harry & Meier, Verena, 2016. "Dealing with heterogeneity, nonlinearity and club misclassification in growth convergence: A nonparametric two-step approach," Center for Mathematical Economics Working Papers 455, Center for Mathematical Economics, Bielefeld University.
    6. Yasutomo Murasawa, 2013. "Measuring Inflation Expectations Using Interval-Coded Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 602-623, August.
    7. Chen, Fan & Yu, Lan & Mao, Jinqi & Yang, Qing & Wang, Delu & Yu, Chenghao, 2024. "A novel data-characteristic-driven modeling approach for imputing missing value in industrial statistics: A case study of China electricity statistics," Applied Energy, Elsevier, vol. 373(C).
    8. Frühwirth-Schnatter, Sylvia & Pittner, Stefan & Weber, Andrea & Winter-Ebmer, Rudolf, 2016. "Analysing Plant Closure Effects Using Time-Varying Mixture-of-Experts Markov Chain Clustering," Economics Series 324, Institute for Advanced Studies.
    9. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
    10. Maruotti, Antonello & Punzo, Antonio, 2017. "Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 475-496.
    11. Jane L. Harvill & Priya Kohli & Nalini Ravishanker, 2017. "Clustering Nonlinear, Nonstationary Time Series Using BSLEX," Methodology and Computing in Applied Probability, Springer, vol. 19(3), pages 935-955, September.
    12. Sricharan Shah & Partha Jyoti Hazarika & Subrata Chakraborty & M. Masoom Ali, 2023. "A Generalized-Alpha–Beta-Skew Normal Distribution with Applications," Annals of Data Science, Springer, vol. 10(4), pages 1127-1155, August.
    13. Petrella, Ivan & Antolin-Diaz, Juan & Drechsel, Thomas, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.
    14. Grazian, Clara & Villa, Cristiano & Liseo, Brunero, 2020. "On a loss-based prior for the number of components in mixture models," Statistics & Probability Letters, Elsevier, vol. 158(C).
    15. Praveen Kumar Tripathi & Manika Agarwal, 2024. "A Bayes Analysis of Random Walk Model Under Different Error Assumptions," Annals of Data Science, Springer, vol. 11(5), pages 1635-1652, October.
    16. J. Voelzke, 2016. "Individual labour income, stock prices and whom it may concern," Applied Economics Letters, Taylor & Francis Journals, vol. 23(13), pages 965-968, September.
    17. Francisco J. Rubio & Keming Yu, 2017. "Flexible objective Bayesian linear regression with applications in survival analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(5), pages 798-810, April.
    18. Hyeong-Min Lee & William C. Wright & Min Pan & Jonathan Low & Duane Currier & Jie Fang & Shivendra Singh & Stephanie Nance & Ian Delahunty & Yuna Kim & Richard H. Chapple & Yinwen Zhang & Xueying Liu , 2023. "A CRISPR-drug perturbational map for identifying compounds to combine with commonly used chemotherapeutics," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    19. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
    20. Sylvia Frühwirth-Schnatter, 2011. "Panel data analysis: a survey on model-based clustering of time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(4), pages 251-280, December.

  17. Miguel A. Juárez & Mark F. J. Steel, 2010. "Non‐gaussian dynamic bayesian modelling for panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1128-1154, November/.
    See citations under working paper version above.
  18. Griffin, J.E. & Steel, M.F.J., 2010. "Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2594-2608, November.
    See citations under working paper version above.
  19. Eduardo Ley & Mark F.J. Steel, 2009. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression This article was published online on 30 March 2009. An error was subsequently identified. This not," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 651-674.

    Cited by:

    1. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    2. Sousa, João & Sousa, Ricardo M., 2013. "Asset returns under model uncertainty: evidence from the euro area, the U.S. and the U.K," Working Paper Series 1575, European Central Bank.
    3. João Sousa & Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Eveidence from the euro area, the U.K and the U.S," NIPE Working Papers 21/2011, NIPE - Universidade do Minho.
    4. Roman Horváth & Kateøina Šmídková & Jan Zápal & Marek Rusnák, 2012. "Dissent Voting Behavior of Central Bankers: What Do We Really Know?," Working Papers IES 2012/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    5. Jan Babecký & Tomáš Havránek & Jakub Matìjù & Marek Rusnák & Kateøina Šmídková & Boøek Vašíèek, 2011. "Early Warning Indicators of Crisis Incidence: Evidence from a Panel of 40 Developed Countries," Working Papers IES 2011/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
    6. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say "Probably Not"," HSE Working papers WP BRP 137/EC/2016, National Research University Higher School of Economics.
    7. Maribel Serna Rodríguez & Andrés Ramírez Hassan & Alexander Coad, 2019. "Uncovering Value Drivers of High Performance Soccer Players," Journal of Sports Economics, , vol. 20(6), pages 819-849, August.
    8. Doris A. Oberdabernig & Stefan Humer & Jesus Crespo Cuaresma, 2018. "Democracy, Geography and Model Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(2), pages 154-185, May.
    9. Griffin Jim E. & Hinoveanu Laurenţiu C. & Hopker James G., 2022. "Bayesian modelling of elite sporting performance with large databases," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 18(4), pages 253-268, December.
    10. Martin Feldkircher & Florian Huber & Josef Schreiner & Marcel Tirpák & Peter Tóth & Julia Wörz, 2015. "Bridging the information gap: small-scale nowcasting models of GDP growth for selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 56-75.

  20. Eduardo Ley & Mark F. J. Steel, 2009. "Comments on ‘Jointness of growth determinants’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 248-251, March.

    Cited by:

    1. Hasan,Iftekhar & Horvath,Roman & Mares,Jan, 2016. "What type of finance matters for growth ? Bayesian model averaging evidence," Policy Research Working Paper Series 7645, The World Bank.
    2. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    3. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    4. Jesus Crespo Cuaresma & Oscar Fernandez, 2023. "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Papers wuwp344, Vienna University of Economics and Business, Department of Economics.
    5. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    6. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    7. Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.

  21. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.

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    1. Antony Andrews & Sean Kimpton & Omphile Temoso, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Working Papers 2021-02, Auckland University of Technology, Department of Economics.
    2. Misgan Desale Nigusie, 2024. "Normal-beta exponential stochastic frontier model: Maximum simulated likelihood approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(3), pages 489-504, September.
    3. Deng, Yaguo, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    5. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    6. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    7. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    8. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    9. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    10. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    11. Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
    12. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    13. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    14. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    15. Tonini, Axel & Matus, Silvia Saravia & Gomez y Paloma, Sergio, 2011. "A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116088, European Association of Agricultural Economists.
    16. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.
    17. Pirayesh Neghab, Davood & Bradrania, Reza & Elliott, Robert, 2023. "Deliberate premarket underpricing: New evidence on IPO pricing using machine learning," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 902-927.
    18. Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.

  22. Ley, Eduardo & Steel, Mark F.J., 2007. "Jointness in Bayesian variable selection with applications to growth regression," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 476-493, September.
    See citations under working paper version above.
  23. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    See citations under working paper version above.
  24. Ferreira, Jose T.A.S. & Steel, Mark F.J., 2007. "Model comparison of coordinate-free multivariate skewed distributions with an application to stochastic frontiers," Journal of Econometrics, Elsevier, vol. 137(2), pages 641-673, April.
    See citations under working paper version above.
  25. Griffin, J.E. & Steel, M.F.J., 2006. "Order-Based Dependent Dirichlet Processes," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 179-194, March.

    Cited by:

    1. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    2. Hatjispyros, Spyridon J. & Nicoleris, Theodoros & Walker, Stephen G., 2011. "Dependent mixtures of Dirichlet processes," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2011-2025, June.
    3. Navarrete, Carlos A. & Quintana, Fernando A., 2011. "Similarity analysis in Bayesian random partition models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 97-109, January.
    4. Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.
    5. Minkun Kim & David Lindberg & Martin Crane & Marija Bezbradica, 2023. "Dirichlet Process Log Skew-Normal Mixture with a Missing-at-Random-Covariate in Insurance Claim Analysis," Econometrics, MDPI, vol. 11(4), pages 1-32, October.
    6. Luis E. Nieto-Barajas & Peter Müller & Yuan Ji & Yiling Lu & Gordon B. Mills, 2012. "A Time-Series DDP for Functional Proteomics Profiles," Biometrics, The International Biometric Society, vol. 68(3), pages 859-868, September.
    7. Igor Prünster & Matteo Ruggiero, 2011. "A Bayesian nonparametric approach to modeling market share dynamics," Carlo Alberto Notebooks 217, Collegio Carlo Alberto.
    8. Pelenis, Justinas, 2012. "Bayesian Semiparametric Regression," Economics Series 285, Institute for Advanced Studies.
    9. Fuentes-García, Ruth & Mena, Ramsés H. & Walker, Stephen G., 2009. "A nonparametric dependent process for Bayesian regression," Statistics & Probability Letters, Elsevier, vol. 79(8), pages 1112-1119, April.
    10. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    11. Trippa, Lorenzo & Muliere, Pietro, 2009. "Bayesian nonparametric binary regression via random tessellations," Statistics & Probability Letters, Elsevier, vol. 79(21), pages 2273-2280, November.
    12. Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
    13. Hatjispyros, Spyridon J. & Nicoleris, Theodoros & Walker, Stephen G., 2016. "Random density functions with common atoms and pairwise dependence," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 236-249.
    14. Gutiérrez, Luis & Mena, Ramsés H. & Ruggiero, Matteo, 2016. "A time dependent Bayesian nonparametric model for air quality analysis," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 161-175.
    15. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2015. "Bayesian nonparametric calibration and combination of predictive distributions," Working Paper 2015/03, Norges Bank.
    16. Hatjispyros, Spyridon J. & Merkatas, Christos & Nicoleris, Theodoros & Walker, Stephen G., 2018. "Dependent mixtures of geometric weights priors," Computational Statistics & Data Analysis, Elsevier, vol. 119(C), pages 1-18.
    17. Federico Bassetti & Roberto Casarin & Fabrizio Leisen, 2013. "Beta-Product Dependent Pitman-Yor Processes for Bayesian Inference," Working Papers 2013:13, Department of Economics, University of Venice "Ca' Foscari".
    18. Norets, Andriy, 2015. "Bayesian regression with nonparametric heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 409-419.
    19. Brian J. Reich & Dipankar Bandyopadhyay & Howard D. Bondell, 2013. "A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 820-831, September.
    20. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    21. Chiara Perricone, 2013. "Clustering Macroeconomic Variables," CEIS Research Paper 283, Tor Vergata University, CEIS, revised 11 Jun 2013.
    22. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "On the stick–breaking representation of normalized inverse Gaussian priors," DEM Working Papers Series 008, University of Pavia, Department of Economics and Management.
    23. Tsuyoshi Kunihama & David B. Dunson, 2013. "Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1324-1338, December.
    24. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse seemingly unrelated regression model (SUR)," Working Papers 2016:20, Department of Economics, University of Venice "Ca' Foscari".
    25. Antonio Lijoi & Bernardo Nipoti, 2013. "A class of hazard rate mixtures for combining survival data from different experiments," DEM Working Papers Series 059, University of Pavia, Department of Economics and Management.
    26. Peter J. Diggle & Raquel Menezes & Ting‐li Su, 2010. "Geostatistical inference under preferential sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 191-232, March.
    27. Andrés F. Barrientos & Alejandro Jara & Fernando A. Quintana, 2017. "Fully Nonparametric Regression for Bounded Data Using Dependent Bernstein Polynomials," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 806-825, April.
    28. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
    29. Sonia Petrone & Michele Guindani & Alan E. Gelfand, 2009. "Hybrid Dirichlet mixture models for functional data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(4), pages 755-782, September.
    30. Bassetti, Federico & Casarin, Roberto & Leisen, Fabrizio, 2011. "Beta-product Poisson-Dirichlet Processes," DES - Working Papers. Statistics and Econometrics. WS 12160, Universidad Carlos III de Madrid. Departamento de Estadística.
    31. Isadora Antoniano-Villalobos & Stephen G. Walker, 2016. "A Nonparametric Model for Stationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 126-142, January.
    32. Pati, Debdeep & Dunson, David B. & Tokdar, Surya T., 2013. "Posterior consistency in conditional distribution estimation," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 456-472.
    33. Pelenis, Justinas, 2014. "Bayesian regression with heteroscedastic error density and parametric mean function," Journal of Econometrics, Elsevier, vol. 178(P3), pages 624-638.
    34. Tchumtchoua, Sylvie & Dey, Dipak, 2007. "Semiparametric Bayesian Estimation of Random Coefficients Discrete Choice Models," Research Reports 149208, University of Connecticut, Food Marketing Policy Center.
    35. Brian J. Reich & Howard D. Bondell & Lexin Li, 2011. "Sufficient Dimension Reduction via Bayesian Mixture Modeling," Biometrics, The International Biometric Society, vol. 67(3), pages 886-895, September.
    36. Weixuan Zhu & Fabrizio Leisen, 2015. "A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(1), pages 89-105, March.
    37. Richard Gerlach & Zudi Lu & Hai Huang, 2013. "Exponentially Smoothing the Skewed Laplace Distribution for Value‐at‐Risk Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 534-550, September.
    38. Jeong, Kuhwan & Chae, Minwoo & Kim, Yongdai, 2023. "Online learning for the Dirichlet process mixture model via weakly conjugate approximation," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    39. Luping Zhao & Timothy E. Hanson, 2011. "Spatially Dependent Polya Tree Modeling for Survival Data," Biometrics, The International Biometric Society, vol. 67(2), pages 391-403, June.
    40. Maria De Iorio & Wesley O. Johnson & Peter Müller & Gary L. Rosner, 2009. "Bayesian Nonparametric Nonproportional Hazards Survival Modeling," Biometrics, The International Biometric Society, vol. 65(3), pages 762-771, September.
    41. Michael L. Pennell & David B. Dunson, 2008. "Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor," Biometrics, The International Biometric Society, vol. 64(2), pages 413-423, June.
    42. Ilenia Epifani & Antonio Lijoi, 2009. "Nonparametric Priors for Vectors of Survival Functions," Quaderni di Dipartimento 098, University of Pavia, Department of Economics and Quantitative Methods.
    43. Huang, Yifan & Meng, Shengwang, 2020. "A Bayesian nonparametric model and its application in insurance loss prediction," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 84-94.
    44. Sara Wade & Stephen G. Walker & Sonia Petrone, 2014. "A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 580-605, September.
    45. Pereira, Luz Adriana & Gutiérrez, Luis & Taylor-Rodríguez, Daniel & Mena, Ramsés H., 2023. "Bayesian nonparametric hypothesis testing for longitudinal data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    46. Miller, Jeffrey W., 2019. "An elementary derivation of the Chinese restaurant process from Sethuraman’s stick-breaking process," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 112-117.
    47. González, Jorge & Barrientos, Andrés F. & Quintana, Fernando A., 2015. "Bayesian nonparametric estimation of test equating functions with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 222-244.
    48. Leisen, Fabrizio, 2013. "A multivariate extension of a vector of Poisson- Dirichlet processes," DES - Working Papers. Statistics and Econometrics. WS ws132220, Universidad Carlos III de Madrid. Departamento de Estadística.
    49. Yeonseung Chung & David Dunson, 2011. "The local Dirichlet process," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(1), pages 59-80, February.
    50. Antonio Lijoi & Bernardo Nipoti, 2014. "A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 802-814, June.
    51. Debdeep Pati & David Dunson, 2014. "Bayesian nonparametric regression with varying residual density," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(1), pages 1-31, February.
    52. Bruno Scarpa & David B. Dunson, 2014. "Enriched Stick-Breaking Processes for Functional Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 647-660, June.

  26. Griffin, J.E. & Steel, M.F.J., 2006. "Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility," Journal of Econometrics, Elsevier, vol. 134(2), pages 605-644, October.
    See citations under working paper version above.
  27. Palacios, M. Blanca & Steel, Mark F.J., 2006. "Non-Gaussian Bayesian Geostatistical Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 604-618, June.

    Cited by:

    1. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    2. Vahid Tadayon & Abdolrahman Rasekh, 2019. "Non-Gaussian Covariate-Dependent Spatial Measurement Error Model for Analyzing Big Spatial Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 49-72, March.
    3. Victor De Oliveira, 2013. "Poisson Kriging," Working Papers 0166mss, College of Business, University of Texas at San Antonio.
    4. Jafari Khaledi, Majid & Zareifard, Hamid & Boojari, Hossein, 2023. "A spatial skew-Gaussian process with a specified covariance function," Statistics & Probability Letters, Elsevier, vol. 192(C).
    5. Kassahun Abere Ayalew & Samuel Manda & Bo Cai, 2021. "A Comparison of Bayesian Spatial Models for HIV Mapping in South Africa," IJERPH, MDPI, vol. 18(21), pages 1-10, October.
    6. Zareifard, Hamid & Jafari Khaledi, Majid, 2013. "Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 16-28.
    7. Majid Khaledi & Firoozeh Rivaz, 2009. "Empirical Bayes spatial prediction using a Monte Carlo EM algorithm," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 35-47, March.
    8. Ganggang Xu & Marc G. Genton, 2017. "Tukey -and- Random Fields," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1236-1249, July.

  28. Ferreira, Jose T.A.S. & Steel, Mark F.J., 2006. "A Constructive Representation of Univariate Skewed Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 823-829, June.
    See citations under working paper version above.
  29. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    See citations under working paper version above.
  30. José T. A. S. Ferreira & Mark F. J. Steel, 2005. "Modelling directional dispersion through hyperspherical log‐splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(4), pages 599-616, September.
    See citations under working paper version above.
  31. Carmen Fernandez & Carmelo J. Leon & Mark F.J. Steel & Francisco Jose Vazquez-Polo, 2004. "Bayesian Analysis of Interval Data Contingent Valuation Models and Pricing Policies," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 431-442, October.

    Cited by:

    1. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
    2. Gloria Gonzalez‐Rivera & Yun Luo & Esther Ruiz, 2020. "Prediction regions for interval‐valued time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 373-390, June.
    3. Andy Vekeman & Michel Meulders & Alain Praet & Jan Colpaert & Tom Van Puyenbroeck, 2015. "Contingent Valuation of a Classic Cycling Race," Journal of Sports Economics, , vol. 16(3), pages 268-294, April.
    4. Jia, Jun–Jun & Wu, Hua-Qing & Nie, Hong-Guang & Fan, Ying, 2019. "Modeling the willingness to pay for energy efficient residence in urban residential sector in China," Energy Policy, Elsevier, vol. 135(C).
    5. Mujuka, Esther & Mburu, John & Ackello-Ogutu, Chris & Ambuko, Jane, 2021. "Willingness to Pay for Postharvest Technologies and Its Influencing Factors Among Smallholder Mango Farmers in Kenya," 2021 Conference, August 17-31, 2021, Virtual 315331, International Association of Agricultural Economists.
    6. Christopher Moore & Daniel Phaneuf & Walter Thurman, 2011. "A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 1-26, September.
    7. Li, Hui & Jenkins-Smith, Hank C. & Silva, Carol L. & Berrens, Robert P. & Herron, Kerry G., 2009. "Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development," Ecological Economics, Elsevier, vol. 68(3), pages 731-742, January.
    8. Leon-Gonzalez, Roberto & Scarpa, Riccardo, 2008. "Improving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transfer," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 50-68, July.
    9. González-Rivera, Gloria & Luo, Yun, 2019. "Prediction regions for interval-valued time series," DES - Working Papers. Statistics and Econometrics. WS 29054, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Morrison, Mark & Bergland, Olvar, 2006. "Prospects for the use of choice modelling for benefit transfer," Ecological Economics, Elsevier, vol. 60(2), pages 420-428, December.
    11. Nababan, Tongam Sihol & Simanjuntak, Juara, 2008. "Aplikasi Willingness To Pay Sebagai Proksi Terhadap Variabel Harga: Suatu Model Empirik Dalam Estimasi Permintaan Energi Listrik Rumah Tangga [The Application of Willingness To Pay As A Proxy To Va," MPRA Paper 49155, University Library of Munich, Germany.
    12. Jorge Araña & Carmelo León, 2007. "Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 475-497, April.
    13. Gelo, Dambala & Turpie, Jane, 2021. "Bayesian analysis of demand for urban green space: A contingent valuation of developing a new urban park," Land Use Policy, Elsevier, vol. 109(C).

  32. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    See citations under working paper version above.
  33. Carmen Fernández & Eduardo Ley & Mark F. J. Steel, 2002. "Bayesian modelling of catch in a north‐west Atlantic fishery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 257-280, July.
    See citations under working paper version above.
  34. Fernandez C. & Koop G. & Steel M.F.J., 2002. "Multiple-Output Production With Undesirable Outputs: An Application to Nitrogen Surplus in Agriculture," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 432-442, June.
    See citations under working paper version above.
  35. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    See citations under working paper version above.
  36. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
    See citations under working paper version above.
  37. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 2000. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Economic Change and Restructuring, Springer, vol. 33(3), pages 185-202.
    See citations under working paper version above.
  38. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 2000. "Modeling the Sources of Output Growth in a Panel of Countries," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 284-299, July.

    Cited by:

    1. Mastromarco, Camilla & Simar, Leopold, 2014. "Global Dependence and Productivity: A Robust Nonparametric World Frontier Analysis," LIDAM Discussion Papers ISBA 2014049, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    3. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    4. Letizia Montinari & Michael Rochlitz, 2012. "Absorptive Capacity and Efficiency: A Comparative Stochastic Frontier Approach Using Sectoral Data," Working Papers 4/2012, IMT School for Advanced Studies Lucca, revised Jun 2012.
    5. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Exploring the role of institutions in cross country Malmquist productivity analysis: A two-stage double bootstrap DEA approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 241-264, Winter.
    6. Koop, Gary & Li, Kai, 2001. "The valuation of IPO and SEO firms," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 375-401, September.
    7. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    8. Bos, J.W.B. & Economidou, C. & Koetter, M., 2010. "Technology clubs, R&D and growth patterns: Evidence from EU manufacturing," European Economic Review, Elsevier, vol. 54(1), pages 60-79, January.
    9. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 89-114, Spring.
    10. Los, Bart & Timmer, Marcel P., 2005. "The 'appropriate technology' explanation of productivity growth differentials: An empirical approach," Journal of Development Economics, Elsevier, vol. 77(2), pages 517-531, August.
    11. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    12. Tareq Sadeq, 2008. "Bayesian Analysis of DSGE models: A Panel Approach," Documents de recherche 08-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    13. Pedro Andres Garzon Delvaux & Heinrich Hockmann & Peter Voigt & Pavel Ciaian & Sergio Gomez y Paloma, 2018. "The impact of private R&D on the performance of food-processing firms: Evidence from Europe, Japan and North America," JRC Research Reports JRC104144, Joint Research Centre.
    14. Federico Inchausti-Sintes, 2020. "A tourism growth model," Tourism Economics, , vol. 26(5), pages 746-763, August.
    15. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    16. Wang Zhenhua & Zhang Guangsheng, 2016. "Industrial policy, production efficiency improvement and the Chinese county economic growth," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 505-528.
    17. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    18. Yasmina Rim Limam & Stephen M. Miller & Giampaolo Garzarelli, 2016. "Decomposition of Output Growth in the Presence of Input Quality: A Stochastic Frontier Approach," Working papers 2016-13, University of Connecticut, Department of Economics.
    19. Lee, Jong-Wha & Hong, Kiseok, 2012. "Economic growth in Asia: Determinants and prospects," Japan and the World Economy, Elsevier, vol. 24(2), pages 101-113.
    20. Mastromarco, Camilla & Simar, Léopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," Economic Modelling, Elsevier, vol. 69(C), pages 134-149.
    21. Sucharita Ghosh & Camilla Mastromarco, 2013. "Cross-border Economic Activities, Human Capital and Efficiency: A Stochastic Frontier Analysis for OECD Countries," The World Economy, Wiley Blackwell, vol. 36(6), pages 761-785, June.
    22. Federico Inchausti-Sintes & Ubay Pérez-Granja & José Juan Morales-Mohamed, 2021. "Analysing labour productivity and its economic consequences in the two Spanish tourist archipelagos," Tourism Economics, , vol. 27(5), pages 1039-1059, August.
    23. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    24. Hockmann, Heinrich & Garzon Delvaux, Pedro Andres & Voigt, Peter & Ciaian, Pavel & Gomez y Paloma, Sergio, 2017. "Corporate R&D and the performance of foodprocessing firms: Evidence from Europe, Japan and North America," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261274, European Association of Agricultural Economists.
    25. Luca Grassetti, 2011. "A note on transformed likelihood approach in linear dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 221-240, June.
    26. Farrokh Nourzad, 2002. "Financial development and productive efficiency: A panel study of developed and developing countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 138-148, June.
    27. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    28. Giampaolo Garzarelli & Stephen M. Miller & Yasmina R. Limam, 2016. "Output Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach," Working Papers 613, Economic Research Southern Africa.
    29. Li, Kai, 2007. "The growth in equity market size and trading activity: An international study," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 59-90, January.
    30. Dobdinga Fonchamnyo & Molem Sama, 2016. "Determinants of public spending efficiency in education and health: evidence from selected CEMAC countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 199-210, January.
    31. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    32. Sok-Gee Chan Mohd & Zaini Abd Karim, 2012. "Public Spending Efficiency And Political And Economic Factors: Evidence From Selected East Asian Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(193), pages 7-24, April- Ju.
    33. Guanchun Liu & Shichang Ma & Chien‐Chiang Lee & Ming Xu, 2020. "Growth decomposition bias when accounting for heterogeneous regimes: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 691-711, May.
    34. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    35. Asma Saeed & Zahoor Ul Haq & Javed Iqbal, 2024. "Investigating the Factors Affecting Research and Development Expenditure Efficiency in China and India," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2761-2771, March.
    36. Luca Giordano & Claudia Guagliano, 2016. "The Impact of Financial Architecture on Technical Innovation," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 263-287, August.
    37. Yasmina Reem Limam & Stephen M. Miller, 2004. "Explaining Economic Growth: Factor Accumulation, Total Factor Productivity Growth, and Production Efficiency Improvement," Working papers 2004-20, University of Connecticut, Department of Economics.
    38. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    39. Guangjie Li, 2015. "A stochastic frontier model with structural breaks in efficiency and technology," Empirical Economics, Springer, vol. 49(1), pages 131-159, August.
    40. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Laiz, Marcela Tetzner, 2021. "The finance-growth nexus: The role of banks," Economic Systems, Elsevier, vol. 45(1).
    41. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    42. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    43. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    44. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
    45. Kumbhakar, Subal C. & Lai, Hung-pin, 2021. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency," Economics Letters, Elsevier, vol. 201(C).
    46. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    47. Makiela, Kamil, 2010. "State Level Efficiency Measures for Healthcare Systems," MPRA Paper 62172, University Library of Munich, Germany.
    48. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    49. Sharma, Subhash C. & Sylwester, Kevin & Margono, Heru, 2007. "Decomposition of total factor productivity growth in U.S. states," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 215-241, May.
    50. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    51. Kai Li, 2004. "The Growth of Global Equity Markets: A Closer Look," Econometric Society 2004 North American Winter Meetings 54, Econometric Society.
    52. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.
    53. Makiela, Kamil & Ouattara, Bazoumana, 2018. "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, vol. 72(C), pages 296-305.
    54. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, December.
    55. Kamil Makieła, 2014. "Bayesian Stochastic Frontier Analysis of Economic Growth and Productivity Change in the EU, USA, Japan and Switzerland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(3), pages 193-216, September.
    56. Zwane, Talent & Biyase, Mduduzi & Binda, Thandolwethu, 2021. "Institutions and Technical Efficiency: A Stochastic Frontier Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(4), pages 415-438.
    57. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.
    58. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.

  39. Fernández, Carmen & Steel, Mark F.J., 2000. "Bayesian Regression Analysis With Scale Mixtures Of Normals," Econometric Theory, Cambridge University Press, vol. 16(1), pages 80-101, February.
    See citations under working paper version above.
  40. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    See citations under working paper version above.
  41. Gary Koop & Jacek Osiewalski & Mark F. J. Steel, 1999. "The Components of Output Growth: A Stochastic Frontier Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 455-487, November.

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    1. Dev Vencappa & Paul Fenn & Stephen Diacon, 2013. "Productivity Growth in the European Insurance Industry: Evidence from Life and Non-Life Companies," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 20(2), pages 281-305, July.
    2. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    3. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    4. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    5. Letizia Montinari & Michael Rochlitz, 2012. "Absorptive Capacity and Efficiency: A Comparative Stochastic Frontier Approach Using Sectoral Data," Working Papers 4/2012, IMT School for Advanced Studies Lucca, revised Jun 2012.
    6. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    7. Jakub Growiec, 2013. "On the measurement of technological progress across countries," Bank i Kredyt, Narodowy Bank Polski, vol. 44(5), pages 467-504.
    8. Bos, J.W.B. & Economidou, C. & Koetter, M., 2010. "Technology clubs, R&D and growth patterns: Evidence from EU manufacturing," European Economic Review, Elsevier, vol. 54(1), pages 60-79, January.
    9. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 89-114, Spring.
    10. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    11. Adetutu, Morakinyo O. & Ajayi, Victor, 2020. "The impact of domestic and foreign R&D on agricultural productivity in sub-Saharan Africa," World Development, Elsevier, vol. 125(C).
    12. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
    13. Malinka Koparanova, 2007. "Structural Changes in the Manufacturing Industry of Transition Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 3-42.
    14. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    15. Almas Heshmati & Masoomeh Rashidghalam, 2020. "Estimation of technical change and TFP growth based on observable technology shifters," Journal of Productivity Analysis, Springer, vol. 53(1), pages 21-36, February.
    16. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    17. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    18. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    19. Kyriakos Drivas & Claire Economidou & Efthymios G. Tsionas, 2018. "Production of output and ideas: efficiency and growth patterns in the United States," Regional Studies, Taylor & Francis Journals, vol. 52(1), pages 105-118, January.
    20. Jakub Growiec, 2019. "The Hardware-Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," KAE Working Papers 2019-042, Warsaw School of Economics, Collegium of Economic Analysis.
    21. Zaeske, Andrew, 2012. "Aggregate Technical Efficiency and Water Use in U.S. Agriculture," CERE Working Papers 2012:11, CERE - the Center for Environmental and Resource Economics.
    22. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    23. Girma, Sourafel & Görg, Holger, 2006. "Multinationals' Productivity Advantage: Scale or Technology," CEPR Discussion Papers 5841, C.E.P.R. Discussion Papers.
    24. Gong, Binlei & Sickles, Robin C., 2018. "Resource Allocation in Multi-divisional Multi-product Firms," Working Papers 18-002, Rice University, Department of Economics.
    25. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    26. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    27. Li, Kai, 2007. "The growth in equity market size and trading activity: An international study," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 59-90, January.
    28. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    29. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
    30. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    31. Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching‐up," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1003-1019, April.
    32. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    33. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    34. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2007. "Technological Change and Transition: Relative Contributions to Worldwide Growth during the 1990s," Discussion Papers of DIW Berlin 740, DIW Berlin, German Institute for Economic Research.
    35. Cullinane, Kevin & Wang, Teng-Fei, 2006. "Chapter 23 Data Envelopment Analysis (DEA) and Improving Container Port Efficiency," Research in Transportation Economics, Elsevier, vol. 17(1), pages 517-566, January.
    36. Hailin Liao & Xiaohui Liu & Mark Holmes & Tom Weyman‐Jones, 2009. "The Impact Of Foreign R&D On Total Factor Productivity In The East Asian Manufacturing Industry," Manchester School, University of Manchester, vol. 77(2), pages 244-270, March.
    37. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    38. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    39. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
    40. Marzec, Jerzy & Pisulewski, Andrzej, 2019. "The Measurement of Time Varying Technical Efficiency and Productivity Change in Polish Crop Farms," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(1), March.
    41. Wong Mei Foong & Tan Hui Boon & Lee Yoong Hon, 2014. "Efficiency and Productivity Gains in Knowledge-Based Production: The Case of East Asian Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 122-143.
    42. Sharma, Subhash C. & Sylwester, Kevin & Margono, Heru, 2007. "Decomposition of total factor productivity growth in U.S. states," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 215-241, May.
    43. Kai Li, 2004. "The Growth of Global Equity Markets: A Closer Look," Econometric Society 2004 North American Winter Meetings 54, Econometric Society.
    44. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.
    45. Michael Danquah & Enrique Moral-Benito & Bazoumana Ouattara, 2014. "TFP growth and its determinants: a model averaging approach," Empirical Economics, Springer, vol. 47(1), pages 227-251, August.
    46. Makiela, Kamil & Ouattara, Bazoumana, 2018. "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, vol. 72(C), pages 296-305.
    47. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, December.
    48. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    49. Kamil Makieła, 2014. "Bayesian Stochastic Frontier Analysis of Economic Growth and Productivity Change in the EU, USA, Japan and Switzerland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(3), pages 193-216, September.
    50. Joao Amador & Carlos Coimbra, 2008. "Total factor productivity in the G7 countries: a shorte note," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 3-11, Bank for International Settlements.
    51. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    52. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.
    53. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    54. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    55. Cristian Barra & Anna Papaccio & Nazzareno Ruggiero, 2023. "Basel accords and banking inefficiency: Evidence from the Italian local market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4079-4119, October.

  42. Fernández, Carmen & Steel, Mark F. J., 1999. "Reference priors for the general location-scale modelm," Statistics & Probability Letters, Elsevier, vol. 43(4), pages 377-384, July.
    See citations under working paper version above.
  43. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    See citations under working paper version above.
  44. Mark Steel, 1998. "Bayesian analysis of stochastic volatility models with flexible tails," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 109-143.

    Cited by:

    1. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
    3. Roberto Leon-Gonzalez, 2018. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 17-16, National Graduate Institute for Policy Studies.
    4. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.

  45. Kiefer, Nicholas M & Steel, Mark F J, 1998. "Bayesian Analysis of the Prototypal Search Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 178-186, April.

    Cited by:

    1. John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
    2. Ortega, J., 2000. "Job Rotation as a Mechanism for Learning," Papers 00-04, Centre for Labour Market and Social Research, Danmark-.
    3. Gary Koop, 1999. "Bayesian inference in models based on equilibrium search theory," Edinburgh School of Economics Discussion Paper Series 12, Edinburgh School of Economics, University of Edinburgh.
    4. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    5. Richard J. Boys & Peter J. Dolton & Neil R. Walker, 2007. "Adapting the optimal job search model for active labour market policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 759-779, July.
    6. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.

  46. Eduardo Ley & Mark F.J. Steel, 1998. "A model of management teams," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 19(6), pages 355-363.
    See citations under working paper version above.
  47. Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 149-169.
    See citations under working paper version above.
  48. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    See citations under working paper version above.
  49. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.

    Cited by:

    1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
    2. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    3. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
    4. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    5. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.
    6. Koop, Gary & Li, Kai, 2001. "The valuation of IPO and SEO firms," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 375-401, September.
    7. Guohua Feng & Chuan Wang, 2021. "Determinants of profitability of community banks in the USA: a cost-frontier-based decomposition approach," Empirical Economics, Springer, vol. 60(6), pages 2969-2992, June.
    8. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
    9. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    10. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.
    11. Njuki, Eric & Bravo-Ureta, Boris B., 2014. "A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming," Working Paper series 290098, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    12. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
    13. Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Other publications TiSEM 70bc4936-7304-4e87-910c-b, Tilburg University, School of Economics and Management.
    14. Rubio, F.J., 2015. "On the propriety of the posterior of hierarchical linear mixed models with flexible random effects distributions," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 154-161.
    15. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    16. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    17. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    18. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    19. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    20. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    21. Kamil Makieia & Jacek Osiewalski, 2018. "Cost Efficiency Analysis of Electricity Distribution Sector under Model Uncertainty," The Energy Journal, , vol. 39(4), pages 31-56, July.
    22. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    23. Robertson R. B. Khataza & Atakelty Hailu & Marit E. Kragt & Graeme J. Doole, 2017. "Estimating shadow price for symbiotic nitrogen and technical efficiency for legume-based conservation agriculture in Malawi," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 462-480, July.
    24. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    25. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    26. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    27. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    28. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    29. Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    30. Ricardo S. Ehlers, 2011. "Comparison of Bayesian models for production efficiency," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2433-2443, January.
    31. Gary Koop & Simon Potter, 2010. "A flexible approach to parametric inference in nonlinear and time varying time series models," Post-Print hal-00732535, HAL.
    32. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    33. Gary Koop & Simon M. Potter, 2004. "Forecasting and estimating multiple change-point models with an unknown number of change points," Staff Reports 196, Federal Reserve Bank of New York.
    34. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    35. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    36. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    37. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    38. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    39. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    40. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    41. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    42. James Sfiridis & Alan Gelfand, 2002. "A survey of sampling-based Bayesian analysis of financial data," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(4), pages 273-291.
    43. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    44. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
    45. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    46. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    47. James M. Sfiridis & Kenneth N. Daniels, 2004. "The Relative Cost Efficiency of Stock versus Mutual Thrifts: A Bayesian Approach," The Financial Review, Eastern Finance Association, vol. 39(1), pages 153-179, February.
    48. C. O’Donnell, 2014. "Econometric estimation of distance functions and associated measures of productivity and efficiency change," Journal of Productivity Analysis, Springer, vol. 41(2), pages 187-200, April.
    49. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    50. Gerhard Kempkes & Carsten Pohl, 2008. "Do Institutions Matter for University Cost Efficiency? Evidence from Germany," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 177-203.
    51. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
    52. Khataza, Robertson R.B. & Hailu, Atakelty & Kragt, Marit E. & Doole, Graeme, 2017. "The opportunity costs of enhancing legume‐based sustainable agricultural intensification practices in Malawi," 2017 Conference (61st), February 7-10, 2017, Brisbane, Australia 258672, Australian Agricultural and Resource Economics Society.
    53. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.
    54. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    55. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    56. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    57. Tsionas, Mike G., 2018. "Bayesian local influence analysis: With an application to stochastic frontiers," Economics Letters, Elsevier, vol. 165(C), pages 54-57.
    58. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    59. Lewis, Danielle & Webb, James R., 2007. "Potential cost synergies from banks acquiring real estate brokerage services," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2347-2363, August.
    60. L. Kurkalova & A. Carriquiry, 2003. "Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model," Journal of Productivity Analysis, Springer, vol. 20(2), pages 191-211, September.
    61. Gary Koop & Simon M. Potter, 2007. "A flexible approach to parametric inference in nonlinear time series models," Staff Reports 285, Federal Reserve Bank of New York.
    62. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
    63. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    64. Efthymios G. Tsionas, 2001. "Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors," Computational Statistics, Springer, vol. 16(4), pages 559-575, December.
    65. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    66. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    67. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    68. Assaf, A. George & Josiassen, Alexander, 2012. "European vs. U.S. airlines: Performance comparison in a dynamic market," Tourism Management, Elsevier, vol. 33(2), pages 317-326.
    69. Koop, Gary M & Poirier, Dale J & Tobias, Justin, 2005. "Semiparametric Bayesian Inference in Multiple Equation Models," Staff General Research Papers Archive 12009, Iowa State University, Department of Economics.
    70. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
    71. Tsionas, Efthymios G., 2003. "Combining DEA and stochastic frontier models: An empirical Bayes approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 499-510, June.

  50. Ley, Eduardo & Steel, Mark F J, 1996. "On the Estimation of Demand Systems through Consumption Efficiency," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 539-543, August.
    See citations under working paper version above.
  51. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1995. "Bayesian long-run prediction in time series models," Journal of Econometrics, Elsevier, vol. 69(1), pages 61-80, September.
    See citations under working paper version above.
  52. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    See citations under working paper version above.
  53. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Bayesian Efficiency Analysis with a Flexible Form: The AIM Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 339-346, July.
    See citations under working paper version above.
  54. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Posterior Properties of Long-Run Impulse Responses," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 489-492, October.

    Cited by:

    1. Guney, Selin, 2015. "An evaluation of price forecasts of the cattle market under structural changes," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205109, Agricultural and Applied Economics Association.
    2. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Manveer Kaur Mangat & Erhard Reschenhofer, 2019. "Testing for Long-Range Dependence in Financial Time Series," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(2), pages 93-106, June.
    4. Koop, Gary, 1996. "Parameter uncertainty and impulse response analysis," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 135-149.

  55. Koop, Gary & Steel, Mark F J, 1994. "A Decision-Theoretic Analysis of the Unit-Root Hypothesis Using Mixtures of Elliptical Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 95-107, January.
    See citations under working paper version above.
  56. Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
    See citations under working paper version above.
  57. ten Raa, Thijs & Steel, Mark F. J., 1994. "Revised stochastic analysis of an input-output model," Regional Science and Urban Economics, Elsevier, vol. 24(3), pages 361-371, June.
    See citations under working paper version above.
  58. Osiewalski, Jacek & Steel, Mark F. J., 1993. "Robust bayesian inference in elliptical regression models," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 345-363.
    See citations under working paper version above.
  59. Osiewalski, Jacek & Steel, Mark F. J., 1993. "Bayesian marginal equivalence of elliptical regression models," Journal of Econometrics, Elsevier, vol. 59(3), pages 391-403, October.
    See citations under working paper version above.
  60. Jacek Osiewalski & Mark F. J. Steel, 1993. "Regression Models under Competing Covariance Structures: A Bayesian Perspective," Annals of Economics and Statistics, GENES, issue 32, pages 65-79.

    Cited by:

    1. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    2. Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Other publications TiSEM 20eee0e0-9a7e-40e2-8b1a-b, Tilburg University, School of Economics and Management.

  61. Osiewalski, Jacek & Steel, Mark F. J., 1992. "A Bayesian note on competing correlation structures in the dynamic linear regression model," Economics Letters, Elsevier, vol. 40(4), pages 383-388, December.
    See citations under working paper version above.
  62. Steel, Mark F. J. & Richard, Jean-Francois, 1991. "Bayesian multivariate exogeneity analysis : An application to a UK money demand equation," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 239-274.
    See citations under working paper version above.
  63. Chib, Siddharta & Osiewalski, Jacek & Steel, Mark F. J., 1991. "Posterior inference on the degrees of freedom parameter in multivariate-t regression models," Economics Letters, Elsevier, vol. 37(4), pages 391-397, December.
    See citations under working paper version above.
  64. Steel, Mark F. J., 1991. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 83-117.
    See citations under working paper version above.
  65. Koop, Gary & Steel, Mark F J, 1991. "To Criticize the Critics: An Objective Bayesian Analysis of Stochastic Trends: A Comment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(4), pages 365-370, Oct.-Dec..

    Cited by:

    1. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    2. Koop, G. & Steel, M.F.J., 1991. "A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models," Discussion Paper 1991-50, Tilburg University, Center for Economic Research.
    3. Marcet, Albert & Jarociński, Marek, 2010. "Autoregressions in small samples, priors about observables and initial conditions," Working Paper Series 1263, European Central Bank.
    4. Márcio Alves Diniz & C.A.B.Pereira & J.M.Stern, 2008. "FBST for Unit Root Problems," Working Papers 08_11, Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto.
    5. Stefano Neri & Luca Dedola, 2004. "Are technology shocks contractionary? A Bayesian VAR analysis with priors on impulses responses," 2004 Meeting Papers 406, Society for Economic Dynamics.
    6. Dedola, Luca & Neri, Stefano, 2006. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Working Paper Series 705, European Central Bank.
    7. Loukia Meligkotsidou & Elias Tzavalis & Ioannis D. Vrontos, 2004. "A Bayesian Analysis of Unit Roots and Structural Breaks in the Level and the Error Variance of Autoregressive Models," Working Papers 514, Queen Mary University of London, School of Economics and Finance.

  66. Richard, J. F. & Steel, M. F. J., 1988. "Bayesian analysis of systems of seemingly unrelated regression equations under a recursive extended natural conjugate prior density," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 7-37.

    Cited by:

    1. Steel, M.F.J., 1989. "Weak Exogeneity In Misspecified Sequential Models," Papers 8942, Tilburg - Center for Economic Research.
    2. Nijman, T.E. & Steel, M.F.J., 1988. "Exclusion restrictions in instrumental variables equations," Other publications TiSEM 16c4ea87-a70c-46c6-aa6b-4, Tilburg University, School of Economics and Management.
    3. Steel, M.F.J., 1991. "Bayesian inference in time series," Discussion Paper 1991-53, Tilburg University, Center for Economic Research.
    4. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    5. K. J. Martijn Cremers, 2002. "Stock Return Predictability: A Bayesian Model Selection Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1223-1249.
    6. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.
    7. Steel, M.F.J., 1989. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Other publications TiSEM b3f4c27f-4dab-46b3-9587-6, Tilburg University, School of Economics and Management.
    8. Hop, J. P. & van Duk, H. K., 1990. "Two Algorithms For The Computation Of Posterior Moments And Densities Using Monte Carlo Integration," Econometric Institute Archives 272483, Erasmus University Rotterdam.
    9. Steel, M.F.J. & Richard, J., 1991. "Bayesian multivariate exogeneity analysis : An application to a UK money demand equation," Other publications TiSEM a9bb426c-930e-4103-af18-e, Tilburg University, School of Economics and Management.
    10. Steel, M.F.J., 1988. "Seemingly unrelated regression equation systems under diffuse stochastic prior information : A recursive analytical approach," Discussion Paper 1988-5, Tilburg University, Center for Economic Research.
    11. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    12. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    13. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.

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