IDEAS home Printed from https://ideas.repec.org/e/c/pze9.html
   My authors  Follow this author

Arnold Zellner

(deceased)

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. Arnold Zellner & Hang Ryu, 1998. "Alternative functional forms for production, cost and returns to scale functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-127.

    Mentioned in:

    1. Alternative functional forms for production, cost and returns to scale functions (Journal of Applied Econometrics 1998) in ReplicationWiki ()

Working papers

  1. Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 201217, University of Pretoria, Department of Economics.

    Cited by:

    1. Sayef Bakari & Ali Ahmadi & Sofien Tiba, 2020. "The Nexus among Domestic Investment, Taxation, and Economic Growth in Germany: Cointegration and Vector Error Correction Model Analysis," Journal of Smart Economic Growth, , vol. 5(1), pages 37-47, May.
    2. Hlalefang Khobai & Khumbuzile Dladla, 2018. "The impact of taxation on economic growth in South Africa," Working Papers 1818, Department of Economics, Nelson Mandela University.
    3. Keshab Bhattarai & Jonathan Haughton & Michael Head & David G Tuerck, 2017. "Simulating Corporate Income Tax Reform Proposals with a Dynamic CGE Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(5), pages 20-35, May.
    4. Emile AIFA, 2024. "Taxation and Economic Growth in Benin: Does the Rate “eat†the Base?," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(6), pages 1-26.
    5. Bournakis, Ioannis & Mallick, Sushanta, 2018. "TFP estimation at firm level: The fiscal aspect of productivity convergence in the UK," Economic Modelling, Elsevier, vol. 70(C), pages 579-590.

  2. Arnold Zellner (posthumously) & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2012. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Tinbergen Institute Discussion Papers 12-098/III, Tinbergen Institute.

    Cited by:

    1. Martin Halla & Martina Zweimüller, 2014. "Parental Response to Early Human Capital Shocks: Evidence from the Chernobyl Accident," NRN working papers 2014-01, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    2. Baştürk, Nalan & Grassi, Stefano & Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2017. "The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i01).
    3. Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014. "Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
    4. 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.
    5. Sylvia Frühwirth-Schnatter & Martin Halla & Alexandra Posekany & Gerald J. Pruckner & Thomas Schober, 2014. "The Quantity and Quality of Children: A Semi-Parametric Bayesian IV Approach," Economics working papers 2014-03, Department of Economics, Johannes Kepler University Linz, Austria.
    6. 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.
    7. Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares, 2020. "Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1575-1593, October.
    8. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    9. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended Phillips Curve Models with non-filtered Data," Koç University-TUSIAD Economic Research Forum Working Papers 1321, Koc University-TUSIAD Economic Research Forum.
    10. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
    11. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    12. Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017. "Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank," Tinbergen Institute Discussion Papers 17-058/III, Tinbergen Institute.
    13. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.

  3. Arnold Zellner & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2011. "Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo," Tinbergen Institute Discussion Papers 11-137/4, Tinbergen Institute.

    Cited by:

    1. Cogley, Timothy & Startz, Richard, 2012. "Bayesian IV: the normal case with multiple endogenous variables," University of California at Santa Barbara, Economics Working Paper Series qt40v0x246, Department of Economics, UC Santa Barbara.

  4. Jacques Kibambe & Arnold Zellner, 2010. "The Use Of A Marshallian Macroeconomic Model For Policy Evaluation: Case Of South Africa," Working Papers 201013, University of Pretoria, Department of Economics.

    Cited by:

    1. Arnold Zellner & Jacques K. Ngoie, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 280, Economic Research Southern Africa.
    2. Annari de Waal & Renee van Eyden & Rangan Gupta, 2013. "Do we need a global VAR model to forecast inflation and output in South Africa?," Working Papers 201346, University of Pretoria, Department of Economics.
    3. Ngoie, Jacques Kibambe, 2014. "Federal research spending and innovation in the U.S. economy," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 492-506.

  5. William Barnett & W. Erwin Diewert & Arnold Zellner, 2009. "Introduction to Measurement with Theory," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200906, University of Kansas, Department of Economics, revised Apr 2009.

    Cited by:

    1. Long Hai Vo, 2021. "Understanding International Price and Consumption Disparities," Economics Discussion / Working Papers 21-01, The University of Western Australia, Department of Economics.
    2. Robert C. Feenstra & Hong Ma & J. Peter Neary & D.S. Prasada Rao, 2013. "Who Shrunk China? Puzzles in the Measurement of Real GDP," Economic Journal, Royal Economic Society, vol. 123(12), pages 1100-1129, December.
    3. Jawadi, Fredj & Mallick, Sushanta K. & Idi Cheffou, Abdoulkarim & Augustine, Anish, 2021. "Does higher unemployment lead to greater criminality? Revisiting the debate over the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 448-471.
    4. Ingvild Almås & Anders Kjelsrud, 2016. "Pro-poor Price Trends and Inequality - The Case of India," CESifo Working Paper Series 5740, CESifo.
    5. Almås, Ingvild & Kjelsrud, Anders, 2017. "Rags and Riches: Relative Prices, Non-Homothetic Preferences, and Inequality in India," World Development, Elsevier, vol. 97(C), pages 102-121.
    6. Hjertstrand, Per, 2013. "A Simple Method to Account for Measurement Errors in Revealed Preference Tests," Working Paper Series 990, Research Institute of Industrial Economics.

  6. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.

    Cited by:

    1. Richard Carter & Arnold Zellner, 2003. "AR Versus MA Disturbance Terms," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-3.
    2. Spyros Makridakis & Andreas Merikas & Anna Merika & Mike G. Tsionas & Marwan Izzeldin, 2020. "A novel forecasting model for the Baltic dry index utilizing optimal squeezing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 56-68, January.

  7. Zellner, Arnold, 1999. "Bayesian and Non-Bayesian Approaches to Scientific Modeling and Inference in Economics and Econometrics," CUDARE Working Papers 198685, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    2. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.

  8. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Gamel Abdul-Nasser Salifu & Kwabena Asomanin Anaman, 2019. "A Political Economy Analysis of Income Diversification Activities of Rural Households in the Northern Region of Ghana," Applied Economics and Finance, Redfame publishing, vol. 6(5), pages 10-34, September.
    2. Powell Mponela & Julius Manda & Michael Kinyua & Job Kihara, 2023. "Participatory Action Research, Social Networks, and Gender Influence Soil Fertility Management in Tanzania," Systemic Practice and Action Research, Springer, vol. 36(1), pages 141-163, February.
    3. Kwabena Asomanin Anaman & Irene Susana Egyir, 2019. "Economic Shocks and the Growth of the Construction Industry in Ghana Over the 50-Year Period From 1968 to 2017," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(1), pages 1-16, June.

  9. Zellner, Arnold & Tobias, Justin, 1998. "A Note on Aggregation, Disaggregation and Forecasting Performance," CUDARE Working Papers 198677, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
    2. Arnold Zellner & Jacques K. Ngoie, 2012. "Modeling and policy analysis for the U.S. Science Sector," Working Papers 264, Economic Research Southern Africa.
    3. WAN, Shui-Ki & WANG, Shin-Huei & WOO, Chi-Keung, 2012. "Total tourist arrival forecast: aggregation vs. disaggregation," LIDAM Discussion Papers CORE 2012039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Arnold Zellner & Jacques K. Ngoie, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 280, Economic Research Southern Africa.
    5. Han Lin Shang & Yang Yang, 2021. "Forecasting Australian subnational age-specific mortality rates," Journal of Population Research, Springer, vol. 38(1), pages 1-24, March.
    6. Herbert Ntuli, 2019. "Can local communities afford full control over wildlife conservation? The Case of CAMPFIRE in Zimbabwe," Working Papers 179, Economic Research Southern Africa.
    7. Juan de Dios TENA & Antoni ESPASA & Gabriel PINO, 2010. "Forecasting Inflation and Relative Prices in the European Regions: A Case Study," Regional and Urban Modeling 284100040, EcoMod.
    8. David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
    9. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    10. Giacomini, Raffaella & Granger, Clive W.J., 2001. "Aggregationn of Space-Time Processes," University of California at San Diego, Economics Working Paper Series qt77f76455, Department of Economics, UC San Diego.
    11. Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011. "Optimal combination forecasts for hierarchical time series," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
    12. Han Lin Shang & Rob J Hyndman, 2016. "Grouped functional time series forecasting: An application to age-specific mortality rates," Monash Econometrics and Business Statistics Working Papers 4/16, Monash University, Department of Econometrics and Business Statistics.
    13. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    14. Li, Han & Hyndman, Rob J., 2021. "Assessing mortality inequality in the U.S.: What can be said about the future?," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 152-162.
    15. Antoni Espasa & Rebeca Albacete, 2007. "Econometric modelling for short-term inflation forecasting in the euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 303-316.
    16. Aron, Janine & Muellbauer, John, 2012. "Improving forecasting in an emerging economy, South Africa: Changing trends, long run restrictions and disaggregation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 456-476.
    17. Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
    18. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    19. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    20. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    21. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
    22. A. Espasa & E. Senra & R. Albacete, 2002. "Forecasting inflation in the European Monetary Union: A disaggregated approach by countries and by sectors," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 402-421.
    23. Hendry, David F. & Hubrich, Kirstin, 2010. "Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate," Working Paper Series 1155, European Central Bank.
    24. Hubrich, Kirstin, 2005. "Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?," International Journal of Forecasting, Elsevier, vol. 21(1), pages 119-136.
    25. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    26. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    27. Libero Monteforte & Stefano Siviero, 2010. "The economic consequences of euro-area macro-modelling shortcuts," Applied Economics, Taylor & Francis Journals, vol. 42(19), pages 2399-2415.
    28. Carson, Richard T. & Cenesizoglu, Tolga & Parker, Roger, 2011. "Forecasting (aggregate) demand for US commercial air travel," International Journal of Forecasting, Elsevier, vol. 27(3), pages 923-941, July.
    29. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    30. Bermingham, Colin & D'Agostino, Antonello, 2011. "Understanding and forecasting aggregate and disaggregate price dynamics," Working Paper Series 1365, European Central Bank.
    31. Gloria Gonzalez-Rivera & Javier Arroyo & Carlos Mate, 2011. "Forecasting with Interval and Histogram Data. Some Financial Applications," Working Papers 201438, University of California at Riverside, Department of Economics.
    32. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    33. Barbara Batóg & Jacek Batóg, 2021. "Regional Government Revenue Forecasting: Risk Factors of Investment Financing," Risks, MDPI, vol. 9(12), pages 1-15, November.
    34. Li, Han & Li, Hong & Lu, Yang & Panagiotelis, Anastasios, 2019. "A forecast reconciliation approach to cause-of-death mortality modeling," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 122-133.
    35. Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024. "Forecast reconciliation: A review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 430-456.
    36. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    37. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    38. Dr. Gregor Bäurle & Elizabeth Steiner & Dr. Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
    39. Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017. "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, vol. 158(C), pages 41-46.
    40. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    41. Muellbauer, John & Aron, Janine, 2010. "Does aggregating forecasts by CPI component improve inflation forecast accuracy in South Africa?," CEPR Discussion Papers 7895, C.E.P.R. Discussion Papers.
    42. Diogo de Prince & Emerson Fernandes Marçal & Pedro L. Valls Pereira, 2022. "Forecasting Industrial Production Using Its Aggregated and Disaggregated Series or a Combination of Both: Evidence from One Emerging Market Economy," Econometrics, MDPI, vol. 10(2), pages 1-34, June.
    43. Francisco Dias & Maximiano Pinheiro & António Rua, 2018. "A bottom-up approach for forecasting GDP in a data-rich environment," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 718-723, June.
    44. Jae Kim & Geoffrey Hewings, 2012. "Integrating the fragmented regional and subregional socioeconomic forecasting and analysis: a spatial regional econometric input–output framework," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(2), pages 485-513, October.
    45. Zotteri, Giulio & Kalchschmidt, Matteo & Caniato, Federico, 2005. "The impact of aggregation level on forecasting performance," International Journal of Production Economics, Elsevier, vol. 93(1), pages 479-491, January.
    46. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.
    47. Libero Monteforte, 2004. "Aggregation bias in macro models: does it matter foir the euro area?," Temi di discussione (Economic working papers) 534, Bank of Italy, Economic Research and International Relations Area.
    48. Yang, Yang & Shang, Han Lin & Raymer, James, 2024. "Forecasting Australian fertility by age, region, and birthplace," International Journal of Forecasting, Elsevier, vol. 40(2), pages 532-548.
    49. Denny Meyer & Rob J. Hyndman, 2005. "Rating Forecasts for Television Programs," Monash Econometrics and Business Statistics Working Papers 1/05, Monash University, Department of Econometrics and Business Statistics.
    50. Kosei Fukuda, 2009. "Related-variables selection in temporal disaggregation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 343-357.
    51. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    52. Juan de Dios Tena & Antoni Espasa & Gabriel Pino, 2010. "Forecasting Spanish Inflation Using the Maximum Disaggregation Level by Sectors and Geographical Areas," International Regional Science Review, , vol. 33(2), pages 181-204, April.
    53. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
    54. Frédérick Demers & David Dupuis, 2005. "Forecasting Canadian GDP: Region-Specific versus Countrywide Information," Staff Working Papers 05-31, Bank of Canada.
    55. Jeon, Jooyoung & Panagiotelis, Anastasios & Petropoulos, Fotios, 2019. "Probabilistic forecast reconciliation with applications to wind power and electric load," European Journal of Operational Research, Elsevier, vol. 279(2), pages 364-379.
    56. George Athanasopoulos & Roman A. Ahmed & Rob J. Hyndman, 2007. "Hierarchical forecasts for Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 12/07, Monash University, Department of Econometrics and Business Statistics, revised Nov 2007.
    57. Janine Aron & John Muellbauer & Coen Pretorius, 2004. "A Framework for Forecasting the Components of the Consumer Price," Development and Comp Systems 0409054, University Library of Munich, Germany.
    58. Lila, Maurício Franca & Meira, Erick & Cyrino Oliveira, Fernando Luiz, 2022. "Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    59. Robinson Durán & Evelyn Garrido & Carolina Godoy & Juan de Dios Tena, 2012. "Predicción de la inflación en México con modelos desagregados por componente," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(1), pages 133-167.
    60. Abouarghoub, Wessam & Nomikos, Nikos K. & Petropoulos, Fotios, 2018. "On reconciling macro and micro energy transport forecasts for strategic decision making in the tanker industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 225-238.
    61. Zotteri, Giulio & Kalchschmidt, Matteo, 2007. "A model for selecting the appropriate level of aggregation in forecasting processes," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 74-83, July.
    62. Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222.
    63. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.
    64. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    65. Li, Han & Chen, Hua, 2024. "Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement," International Journal of Forecasting, Elsevier, vol. 40(2), pages 549-563.
    66. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    67. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    68. Cobb, Marcus P A, 2017. "Aggregate Density Forecasting from Disaggregate Components Using Large VARs," MPRA Paper 76849, University Library of Munich, Germany.
    69. Roberto Cerina & Raymond Duch, 2021. "Polling India via regression and post-stratification of non-probability online samples," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-34, November.

  10. Tobias, Justin & Zellner, Arnold, 1998. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," CUDARE Working Papers 198659, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    4. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
    5. 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.
    6. Komunjer, Ivana & Ragusa, Giuseppe, 2009. "Existence and Uniqueness of Semiparametric Projections," University of California at San Diego, Economics Working Paper Series qt0wg3j51c, Department of Economics, UC San Diego.
    7. 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.
    8. LaFrance, J. T. & Beatty, T. K. M. & Pope, R. D. & Agnew, G. K., 2002. "Information theoretic measures of the income distribution in food demand," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 235-257, March.
    9. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    10. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    11. Golan Amos, 2003. "An Information Theoretic Approach for Estimating Nonlinear Dynamic Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-26, December.
    12. LaFrance, Jeffrey T., 1999. "An Econometric Model Of The Demand For Food And Nutrition," CUDARE Working Papers 25004, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    14. 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).
    15. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    16. Gao, Chuanming & Lahiri, Kajal, 2002. "A note on the double k-class estimator in simultaneous equations," Journal of Econometrics, Elsevier, vol. 108(1), pages 101-111, May.
    17. 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.
    18. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.
    19. Antoine, Bertille & Bonnal, Helene & Renault, Eric, 2007. "On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood," Journal of Econometrics, Elsevier, vol. 138(2), pages 461-487, June.
    20. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.
    21. 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.
    22. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    23. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  11. Zellner, Arnold & Min, Chung-ki, 1998. "Forecasting Turning Points in Countries' Output Growth Rates: A Response to Milton Friedman," CUDARE Working Papers 198676, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Issler, João Victor & Vahid, Farshid, 2002. "The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 450, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
    4. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    5. Gustavo A. Marrero, 2007. "Traditional versus unobserved components methods to forecast quarterly national account aggregates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 129-153.
    6. W A Razzak, 2001. "Money in the era of inflation targeting," Reserve Bank of New Zealand Discussion Paper Series DP2001/02, Reserve Bank of New Zealand.

  12. Zellner, Arnold & Ryu, Hang, 1998. "Alternative Functional Forms for Production, Cost and Returns to Scale Functions," CUDARE Working Papers 198658, University of California, Berkeley, Department of Agricultural and Resource Economics.

    Cited by:

    1. Bella, Giovanni & Mattana, Paolo, 2014. "Global indeterminacy of the equilibrium in the Chamley model of endogenous growth in the vicinity of a Bogdanov–Takens bifurcation," Mathematical Social Sciences, Elsevier, vol. 71(C), pages 69-79.
    2. Paul, Saumik, 2019. "A Decline in Labor's Share with Capital Accumulation and Complementary Factor Inputs: An Application of the Morishima Elasticity of Substitution," IZA Discussion Papers 12219, Institute of Labor Economics (IZA).
    3. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric estimation of homothetic and homothetically separable functions," CeMMAP working papers CWP14/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    5. 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.
    6. Bellocchi, Alessandro & Travaglini, Giuseppe, 2023. "Can variable elasticity of substitution explain changes in labor shares?," Journal of Macroeconomics, Elsevier, vol. 76(C).
    7. Wong, Tsz-Nga & Yip, Chong K., 2010. "Indeterminacy and the elasticity of substitution in one-sector models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 623-635, April.
    8. Hang Ryu, 2009. "Economic assumptions and choice of functional forms: comparison of top down and bottom up approaches," Journal of Productivity Analysis, Springer, vol. 32(1), pages 55-62, August.
    9. Holzner, Christian & Launov, Andrey, 2010. "Search equilibrium and social and private returns to education," Munich Reprints in Economics 19436, University of Munich, Department of Economics.
    10. Launov, Andrey & Holzner, Christian, 2005. "Search Equilibrium, Production Parameters and Social Returns to Education: Theory and Estimation," W.E.P. - Würzburg Economic Papers 64, University of Würzburg, Department of Economics.
    11. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52.
    12. Zaman, Gheorghe & Goschin, Zizi & Partachi, Ion & Herteliu, Claudiu, 2007. "The Contribution of Labour and Capital to Romania's and Moldova's Economic Growth," MPRA Paper 88834, University Library of Munich, Germany.
    13. Hang Keun Ryu, 2003. "Choice of representation system for economic analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 863-866.
    14. Urga, Giovanni & Walters, Chris, 2003. "Dynamic translog and linear logit models: a factor demand analysis of interfuel substitution in US industrial energy demand," Energy Economics, Elsevier, vol. 25(1), pages 1-21, January.
    15. Alessandro Bellocchi & Giovanni Marin & Giuseppe Travaglini, 2021. "The Great Fall of Labor Share:Micro Determinants for EU Countries Over 2011-2019," Working Papers 2102, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2021.
    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. Gad Allon & Michael Beenstock & Steven Hackman & Ury Passy & Alex Shapiro, 2005. "Nonparametric estimation of concave production technologies by entropic methods," Econometrics 0512003, University Library of Munich, Germany.
    18. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    19. Nguyen Ngoc Thach, 2020. "Macroeconomic Growth in Vietnam Transitioned to Market: An Unrestricted VES Framework," Economies, MDPI, vol. 8(3), pages 1-15, July.
    20. Thomsen, Thomas, 2000. "Short cuts to dynamic factor demand modelling," Journal of Econometrics, Elsevier, vol. 97(1), pages 1-23, July.
    21. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    22. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
    23. Seo, Young-Joon & Park, Jin Suk, 2016. "The estimation of minimum efficient scale of the port industry," Transport Policy, Elsevier, vol. 49(C), pages 168-175.
    24. Alejandro Ramírez Vigoya, 2015. "Ajuste de una función de producción al sector financiero en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 141-156, June.
    25. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions," Boston College Working Papers in Economics 585, Boston College Department of Economics, revised 04 Sep 2006.
    26. M. Li, 2003. "A model-combined estimator of elasticity of scale," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 119-122.
    27. Nguyen Ngoc Thach, 2020. "The Variable Elasticity of Substitution Function and Endogenous Growth: An Empirical Evidence from Vietnam," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 263-277.

  13. Zellner, A., 1992. "Statistics, Science and Public Policy," Papers 92-21, California Irvine - School of Social Sciences.

    Cited by:

    1. Detlefsen, Kai & Härdle, Wolfgang Karl, 2006. "Forecasting the term structure of variance swaps," SFB 649 Discussion Papers 2006-052, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    3. Clive G. Bowsher & Roland Meeks, 2008. "The dynamics of economics functions: modelling and forecasting the yield curve," Working Papers 0804, Federal Reserve Bank of Dallas.
    4. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
    5. Yifeng Yan & Ju'e Guo, 2015. "The Sovereign Yield Curve and the Macroeconomy in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 415-441, August.
    6. Guillén, Osmani Teixeira de Carvalho & Issler, João Victor & Franco-Neto, Afonso Arinos de Mello, 2014. "On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century and beyond," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 62-78.
    7. Francis X. Diebold, 1997. "The Past, Present, and Future of Macroeconomic Forecasting," NBER Working Papers 6290, National Bureau of Economic Research, Inc.
    8. Yasir Riaz & Choudhry T. Shehzad & Zaghum Umar, 2021. "The sovereign yield curve and credit ratings in GIIPS," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 895-916, September.
    9. Yu-Fu Chen & Michael Funke, 2017. "Greece’s Three-Act Tragedy: A Simple Model of Grexit vs. Staying Afloat inside the Single Currency Area," Open Economies Review, Springer, vol. 28(2), pages 297-318, April.
    10. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    11. Osmani Teixeira de Carvalho Guillény & João Victor Issler & Afonso Arinos de Mello Franco-Neto, 2012. "On the Welfare Costs of Business-Cycle Fluctuations and Economic-Growth Variation in the 20th Century," Working Papers Series 284, Central Bank of Brazil, Research Department.
    12. Christoffersen, Peter F & Diebold, Francis X, 1996. "Further Results on Forecasting and Model Selection under Asymmetric Loss," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 561-571, Sept.-Oct.
    13. Shalabh, & Garg, G. & Heumann, C., 2012. "Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 35-47.
    14. Schlosser, William E., 2020. "Real price appreciation forecast tool: Two delivered log market price cycles in the Puget Sound markets of western Washington, USA, from 1992 through 2019," Forest Policy and Economics, Elsevier, vol. 113(C).
    15. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    16. Dragomirescu-Gaina, Catalin & Elia, Leandro & Weber, Anke, 2014. "A fast-forward look at tertiary education attainment in Europe 2020," MPRA Paper 57957, University Library of Munich, Germany.
    17. Dagmar Camska & Jiri Klecka, 2020. "Comparison of Prediction Models Applied in Economic Recession and Expansion," JRFM, MDPI, vol. 13(3), pages 1-16, March.

  14. Min, C.K. & Zellner, A., 1992. ""Bayesian and Non-Bayesian Methods for Combining Models and Forecasts with Applications to Forecasting International Growth Rates"," Papers 90-92-23, California Irvine - School of Social Sciences.

    Cited by:

    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
    2. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    3. 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.
    4. Kupiec, Paul H., 2020. "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, vol. 51(C).
    5. Wilson, Kevin J., 2017. "An investigation of dependence in expert judgement studies with multiple experts," International Journal of Forecasting, Elsevier, vol. 33(1), pages 325-336.
    6. 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).
    7. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    8. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
    9. Matteo Ciccarelli & Carlo Altavilla, 2007. "Inflation Forecasts, Monetary Policy and Unemployment Dynamics: Evidence from the US and the Euro area," 2007 Meeting Papers 315, Society for Economic Dynamics.
    10. 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.
    11. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    12. 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.
    13. 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.
    14. 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.
    15. Poirier, Dale J., 1997. "Comparing and choosing between two models with a third model in the background," Journal of Econometrics, Elsevier, vol. 78(2), pages 139-151, June.
    16. Billio, Monica & Casarin, Roberto & Rossini, Luca, 2019. "Bayesian nonparametric sparse VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 97-115.
    17. Hu, Michael Y. & Tsoukalas, Christos, 1999. "Combining conditional volatility forecasts using neural networks: an application to the EMS exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 407-422, November.
    18. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    19. Carmen Fernandez & Eduardo Ley & Mark F J Steel, 1998. "Benchmark priors for Bayesian model averaging," Edinburgh School of Economics Discussion Paper Series 66, Edinburgh School of Economics, University of Edinburgh.
    20. 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.
    21. Zijun Wang, 2010. "Directed graphs, information structure and forecast combinations: an empirical examination of US unemployment rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 353-366.
    22. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    23. Roberto León & Carmelo J. León, 2003. "Single or double bounded contingent valuation? A Bayesian test," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(2), pages 174-188, May.
    24. Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
    25. 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.
    26. Gary Koop & Herman K. van Dijk & Henk Hoek, 1997. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 97-078/4, Tinbergen Institute.
    27. Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
    28. Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    29. 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.
    30. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    31. Cheng, Gang & Yang, Yuhong, 2015. "Forecast combination with outlier protection," International Journal of Forecasting, Elsevier, vol. 31(2), pages 223-237.
    32. George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Fotios Petropoulos, 2015. "Forecasting with Temporal Hierarchies," Monash Econometrics and Business Statistics Working Papers 16/15, Monash University, Department of Econometrics and Business Statistics.
    33. Arie Preminger & Uri Ben-zion & David Wettstein, 2007. "The extended switching regression model: allowing for multiple latent state variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(7), pages 457-473.
    34. Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Discussion Paper 1997-111, Tilburg University, Center for Economic Research.
    35. Zellner, Arnold & Tobias, Justin & Ryu, Hang, 1998. "Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models," CUDARE Working Papers 198660, University of California, Berkeley, Department of Agricultural and Resource Economics.
    36. 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.
    37. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    38. 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.).
    39. Ossama Mikhail & Curtis J. Eberwein & Jagdish Handa, 2003. "Testing and Estimating Persistence in Canadian Unemployment," Econometrics 0311004, University Library of Munich, Germany.
    40. Phillips, Peter C. B., 1995. "Bayesian model selection and prediction with empirical applications," Journal of Econometrics, Elsevier, vol. 69(1), pages 289-331, September.
    41. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    42. George Kapetanios & Vincent Labhard & Simon Price, 2005. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Bank of England working papers 268, Bank of England.
    43. Smith, M. & Kohn, R., 1998. "Nonparametric Seemingly Unrelated Regression," Monash Econometrics and Business Statistics Working Papers 7/98, Monash University, Department of Econometrics and Business Statistics.
    44. 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.
    45. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    46. Mariola Pilatowska, 2009. "The Combined Forecasts Using the Akaike Weights," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 5-16.
    47. Shively, Thomas S. & Kohn, Robert, 1997. "A Bayesian approach to model selection in stochastic coefficient regression models and structural time series models," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 39-52.
    48. Roberto Leon Gonzalez & Daniel Montolio Estivill, 2003. "Growth, Convergence and Public Investment. A Bayesian Model Averaging Approach," Working Papers in Economics 106, Universitat de Barcelona. Espai de Recerca en Economia.
    49. Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
    50. Niccolò Casnici & Pierpaolo Dondio & Roberto Casarin & Flaminio Squazzoni, 2015. "Decrypting Financial Markets through E-Joint Attention Efforts: On-Line Adaptive Networks of Investors in Periods of Market Uncertainty," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
    51. Jules H. van Binsbergen & Wouter Hueskes & Ralph Koijen & Evert B. Vrugt, 2011. "Equity Yields," NBER Working Papers 17416, National Bureau of Economic Research, Inc.
    52. Kazimi, C. & Brownstone, D., 1994. "Bootstrap Confidence Bands for Shrinkage Estimators," Papers 94-95-5, California Irvine - School of Social Sciences.
    53. 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.
    54. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2003. "An algorithm to estimate time-varying parameter SURE models under different types of restriction," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 363-383, March.
    55. 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.
    56. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    57. Cairns, Andrew J. G., 2000. "A discussion of parameter and model uncertainty in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 27(3), pages 313-330, December.
    58. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    59. Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.
    60. Malagon Jonathan & Orbegozo Camila, 2019. "The New Drivers of Fear of Floating: Evidence from Latin America," Journal of Globalization and Development, De Gruyter, vol. 10(1), pages 1-17, June.
    61. 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.
    62. Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
    63. 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.
    64. Todd E. Clark & Michael W. McCracken, 2008. "Improving forecast accuracy by combining recursive and rolling forecasts," Working Papers 2008-028, Federal Reserve Bank of St. Louis.
    65. 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.
    66. Éric Vansteenberghe, 2024. "Insurance Supervision under Climate Change: A Pioneers Detection Method [La supervision des assurances lorsque le climat est bouleversé : une Méthode de Détection des Pionniers]," Débats économiques et financiers 43, Banque de France.
    67. Barrow, Devon K. & Crone, Sven F., 2016. "A comparison of AdaBoost algorithms for time series forecast combination," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1103-1119.
    68. Clark, Todd E. & McCracken, Michael W., 2005. "The power of tests of predictive ability in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 124(1), pages 1-31, January.
    69. Carmen Fernandez & Eduardo Ley & Mark Steel, 2001. "Bayesian Modelling of Catch in a Northwest Atlantic Fishery," Econometrics 0110003, University Library of Munich, Germany, revised 23 Nov 2001.
    70. Liu, Chu-An & Kuo, Biing-Shen, 2014. "Model Averaging in Predictive Regressions," MPRA Paper 54198, University Library of Munich, Germany.
    71. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    72. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    73. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    74. 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.
    75. Gary Koop & Simon M. Potter & Rodney W. Strachan, 2008. "Re‐Examining the Consumption–Wealth Relationship: The Role of Model Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 341-367, March.
    76. 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.
    77. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    78. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    79. Elkin Castaño & Luis Fernando Melo, 1998. "Métodos de Combinación de Pronósticos: Una Aplicación a la Inflación Colombiana," Borradores de Economia 109, Banco de la Republica de Colombia.
    80. Teräsvirta, T. & Lin, C., 1995. "Testing Parameter Constancy In Linear Models Against Stochastic Stationary Parameters," SFB 373 Discussion Papers 1995,28, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    81. Wen-Hsien Liu & Shu-Shih Weng, 2018. "On predicting the semiconductor industry cycle: a Bayesian model averaging approach," Empirical Economics, Springer, vol. 54(2), pages 673-703, March.
    82. Chun Liu & John M. Maheu, 2009. "Forecasting realized volatility: a Bayesian model-averaging approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 709-733.
    83. Hansen, Bruce E., 2008. "Least-squares forecast averaging," Journal of Econometrics, Elsevier, vol. 146(2), pages 342-350, October.
    84. Tumala, Mohammed M & Olubusoye, Olusanya E & Yaaba, Baba N & Yaya, OlaOluwa S & Akanbi, Olawale B, 2017. "Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks," MPRA Paper 88754, University Library of Munich, Germany, revised Feb 2018.
    85. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach," PIER Working Paper Archive 12-046, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    86. Dimitris Korobilis, 2018. "Machine Learning Macroeconometrics: A Primer," Working Paper series 18-30, Rimini Centre for Economic Analysis.
    87. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    88. Barrow, Devon K. & Kourentzes, Nikolaos, 2016. "Distributions of forecasting errors of forecast combinations: Implications for inventory management," International Journal of Production Economics, Elsevier, vol. 177(C), pages 24-33.
    89. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
    90. Hu, Michael Y. & Tsoukalas, Christos, 2003. "Explaining consumer choice through neural networks: The stacked generalization approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 650-660, May.
    91. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    92. Elliott, Graham & Timmermann, Allan, 2004. "Optimal forecast combinations under general loss functions and forecast error distributions," Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
    93. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    94. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    95. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski.
    96. John M Maheu & Thomas H McCurdy, 2007. "Modeling foreign exchange rates with jumps," Working Papers tecipa-279, University of Toronto, Department of Economics.
    97. David Bouras, 2015. "Combining forecasts to enhance fish production prediction: the Case of Coastal Fish Production in Morocco," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, December.
    98. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    99. 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.
    100. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    101. 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.
    102. 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".
    103. Wang, Hao, 2010. "Sparse seemingly unrelated regression modelling: Applications in finance and econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2866-2877, November.
    104. Massimiliano Giacalone, 2022. "Optimal forecasting accuracy using Lp-norm combination," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 187-230, August.
    105. Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
    106. 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.
    107. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.
    108. 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".
    109. Arie Preminger & Uri Ben-Zion & David Wettstein, 2006. "Extended switching regression models with time-varying probabilities for combining forecasts," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 455-472.
    110. 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.
    111. Palm, Franz C., 1995. "Bayesian model selection and prediction with empirical applications comments," Journal of Econometrics, Elsevier, vol. 69(1), pages 333-335, September.
    112. Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
    113. 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.
    114. Poncela, Pilar, 1996. "Pooling information and forecasting with dynamic factor analysis," DES - Working Papers. Statistics and Econometrics. WS 10709, Universidad Carlos III de Madrid. Departamento de Estadística.
    115. 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.).
    116. Ruiz, Edilberto & Nieto, Fabio H., 2000. "A note on linear combination of predictors," Statistics & Probability Letters, Elsevier, vol. 47(4), pages 351-356, May.
    117. Diego Nocetti & William T. Smith, 2006. "Why Do Pooled Forecasts Do Better Than Individual Forecasts Ex Post?," Economics Bulletin, AccessEcon, vol. 4(36), pages 1-7.
    118. Schorfheide, Frank, 2005. "VAR forecasting under misspecification," Journal of Econometrics, Elsevier, vol. 128(1), pages 99-136, September.
    119. Koop, Gary & Potter, Simon M., 1998. "Bayes factors and nonlinearity: Evidence from economic time series1," Journal of Econometrics, Elsevier, vol. 88(2), pages 251-281, November.
    120. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    121. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.
    122. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
    123. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
    124. 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.
    125. 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.
    126. Lillie Lam & Laurence Fung & Ip-wing Yu, 2008. "Comparing Forecast Performance of Exchange Rate Models," Working Papers 0808, Hong Kong Monetary Authority.
    127. 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.
    128. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    129. Pedro Henrique Melo Albuquerque & Yaohao Peng & João Pedro Fontoura da Silva, 2022. "Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1701-1724, December.
    130. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.
    131. Elkin Castaño Vélez & Luis Fernando Melo Velandia, 2000. "Metodos de combinacion de pronosticos: una aplicacion a la inflacion," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 52, pages 113-165, Enero Jun.
    132. 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.

  15. Zellner, A., 1992. "Bayesian and Non-Bayesian Estimation using Balanced Loss Functions," Papers 92-20, California Irvine - School of Social Sciences.

    Cited by:

    1. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    2. N. Farsipour & A. Asgharzadeh, 2004. "Estimation of a normal mean relative to balanced loss functions," Statistical Papers, Springer, vol. 45(2), pages 279-286, April.
    3. A. Asgharzadeh & N. Sanjari Farsipour, 2008. "Estimation of the exponential mean time to failure under a weighted balanced loss function," Statistical Papers, Springer, vol. 49(1), pages 121-131, March.
    4. Chaturvedi, Anoop & Shalabh, 2004. "Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 90(2), pages 229-256, August.
    5. Jafar Ahmadi & Mohammad Jafari Jozani & Éric Marchand & Ahmad Parsian, 2009. "Prediction of k-records from a general class of distributions under balanced type loss functions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(1), pages 19-33, June.
    6. van Akkeren, Marco & Judge, George & Mittelhammer, Ron, 2002. "Generalized moment based estimation and inference," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 127-148, March.
    7. Mohammad Jafari Jozani & Éric Marchand & Ahmad Parsian, 2012. "Bayesian and Robust Bayesian analysis under a general class of balanced loss functions," Statistical Papers, Springer, vol. 53(1), pages 51-60, February.
    8. G. Datta & M. Ghosh & R. Steorts & J. Maples, 2011. "Bayesian benchmarking with applications to small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 574-588, November.
    9. Payandeh Najafabadi, Amir T., 2010. "A new approach to the credibility formula," MPRA Paper 21587, University Library of Munich, Germany, revised 0020.
    10. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  16. Zellner, A., 1992. ""Time Series Analysis, Forecasting and Econometric Modeling : The Structural Econometric Modeling , Time Series Analysis (SEMTSA) Approach"," Papers 90-92-22, California Irvine - School of Social Sciences.

    Cited by:

    1. Thomas M Fullerton Jr & Eiichi Araki, 2004. "New Directions in Latin American Macroeconometrics," Development and Comp Systems 0408002, University Library of Munich, Germany.

  17. Palm, F. & Zellner, A., 1991. "To combine or not to combine? issues of combining forecasts," LIDAM Discussion Papers CORE 1991022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.
    3. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    4. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    5. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
    7. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    8. Goodness C. Aye & Eric D. Mungatana, 2013. "Evaluating The Performance Of Small Scale Maize Producers In Nigeria: An Integrated Distance Function Approach," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(2), pages 79-92, July.
    9. Li Li & Yanfei Kang & Fotios Petropoulos & Feng Li, 2022. "Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications," Papers 2204.08283, arXiv.org, revised Aug 2022.
    10. Poirier, Dale J., 1997. "Comparing and choosing between two models with a third model in the background," Journal of Econometrics, Elsevier, vol. 78(2), pages 139-151, June.
    11. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    12. H. Kent Baker & Satish Kumar & Debidutta Pattnaik, 2021. "Research constituents, intellectual structure, and collaboration pattern in the Journal of Forecasting: A bibliometric analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 577-602, July.
    13. Wei, Xiaoqiao & Yang, Yuhong, 2012. "Robust forecast combinations," Journal of Econometrics, Elsevier, vol. 166(2), pages 224-236.
    14. de Menezes, Lilian M. & W. Bunn, Derek & Taylor, James W., 2000. "Review of guidelines for the use of combined forecasts," European Journal of Operational Research, Elsevier, vol. 120(1), pages 190-204, January.
    15. Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
    16. Elena Grubisic, 2002. "Determinantes de la evolución del crédito al sector privado en Argentina en el período 1994- 2000," Monetaria, CEMLA, vol. 0(1), pages 75-103, enero-mar.
    17. Zellner, Arnold & Tobias, Justin & Ryu, Hang, 1998. "Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models," CUDARE Working Papers 198660, University of California, Berkeley, Department of Agricultural and Resource Economics.
    18. Hongyue Guo & Xiaodong Liu & Zhubin Sun, 2016. "Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2897-2909, December.
    19. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    20. Graham Elliott, 2017. "Forecast combination when outcomes are difficult to predict," Empirical Economics, Springer, vol. 53(1), pages 7-20, August.
    21. Glauber Eduardo de Oliveira Santos, 2009. "Research Note: Forecasting Tourism Demand by Disaggregated Time Series – Empirical Evidence from Spain," Tourism Economics, , vol. 15(2), pages 467-472, June.
    22. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    23. Jakub Nowotarski & Bidong Liu & Rafal Weron & Tao Hong, 2015. "Improving short term load forecast accuracy via combining sister forecasts," HSC Research Reports HSC/15/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    24. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    25. Till Weigt & Bernd Wilfling, 2018. "An approach to increasing forecast-combination accuracy through VAR error modeling," CQE Working Papers 6818, Center for Quantitative Economics (CQE), University of Muenster.
    26. 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.
    27. 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.
    28. Lahiri, Kajal & Liu, Fushang, 2005. "ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts," MPRA Paper 21693, University Library of Munich, Germany.
    29. Tobias, Justin & Zellner, Arnold, 1998. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," CUDARE Working Papers 198659, University of California, Berkeley, Department of Agricultural and Resource Economics.
    30. Wagner Piazza Gaglianone & João Victor Issler & Silvia Maria Matos, 2017. "Applying a microfounded-forecasting approach to predict Brazilian inflation," Empirical Economics, Springer, vol. 53(1), pages 137-163, August.
    31. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    32. Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
    33. Wagner Piazza Gaglianone & Waldyr Dutra Areosa, 2016. "Financial Conditions Indicators for Brazil," Working Papers Series 435, Central Bank of Brazil, Research Department.
    34. Huiyu Huang & Tae-Hwy Lee, 2010. "To Combine Forecasts or to Combine Information?," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 534-570.
    35. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.
    36. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    37. Mirakyan, Atom & Meyer-Renschhausen, Martin & Koch, Andreas, 2017. "Composite forecasting approach, application for next-day electricity price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 228-237.
    38. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    39. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    40. Yang, Dazhi & Yang, Guoming & Liu, Bai, 2023. "Combining quantiles of calibrated solar forecasts from ensemble numerical weather prediction," Renewable Energy, Elsevier, vol. 215(C).
    41. 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.
    42. Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021. "Commodity prices and global economic activity: A derived-demand approach," Energy Economics, Elsevier, vol. 96(C).
    43. Jinliang Zhang & YiMing Wei & Zhong-fu Tan & Wang Ke & Wei Tian, 2017. "A Hybrid Method for Short-Term Wind Speed Forecasting," Sustainability, MDPI, vol. 9(4), pages 1-10, April.
    44. Guerrero, Víctor M., 1995. "Linear combination of information in time series analysis," DES - Working Papers. Statistics and Econometrics. WS 10340, Universidad Carlos III de Madrid. Departamento de Estadística.
    45. Carriero, Andrea & Giacomini, Raffaella, 2011. "How useful are no-arbitrage restrictions for forecasting the term structure of interest rates?," Journal of Econometrics, Elsevier, vol. 164(1), pages 21-34, September.
    46. Jacques J. Polak, 2002. "Los dos enfoques de la balanza de pagos: el keynesiano y el johnsoniano," Monetaria, CEMLA, vol. 0(1), pages 1-27, enero-mar.
    47. Elliott, Graham & Timmermann, Allan, 2004. "Optimal forecast combinations under general loss functions and forecast error distributions," Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
    48. Theo S. Eicher & David J. Kuenzel & Mr. Chris Papageorgiou & Mr. Charalambos Christofides, 2018. "Forecasts in Times of Crises," IMF Working Papers 2018/048, International Monetary Fund.
    49. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    50. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    51. Francisco Marcos Rodrigues Figueiredo & Roberta Blass Staub, 2002. "Evaluación y combinación de mediciones de inflación de base para Brasil," Monetaria, CEMLA, vol. 0(1), pages 29-50, enero-mar.
    52. M. Murty & Surender Kumar & Kishore Dhavala, 2007. "Measuring environmental efficiency of industry: a case study of thermal power generation in India," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(1), pages 31-50, September.
    53. Li Wang & Haofei Zou & Jia Su & Ling Li & Sohail Chaudhry, 2013. "An ARIMA‐ANN Hybrid Model for Time Series Forecasting," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 244-259, May.
    54. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    55. Kumar, Surender & Gupta, Sreekant, 2004. "Resource use efficiency of US electricity generating plants during the SO2 trading regime: A distance function approach," Working Papers 04/17, National Institute of Public Finance and Policy.
    56. Massimiliano Giacalone, 2022. "Optimal forecasting accuracy using Lp-norm combination," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 187-230, August.
    57. Tripathi Manas & Kumar Saurabh & Inani Sarveshwar Kumar, 2021. "Exchange Rate Forecasting Using Ensemble Modeling for Better Policy Implications," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 43-71, January.
    58. Daud Ali Aser & Esin Firuzan, 2022. "Improving Forecast Accuracy Using Combined Forecasts with Regard to Structural Breaks and ARCH Innovations," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(37), pages 1-25, December.
    59. Massimo Guidolin & Carrie Fangzhou Na, 2007. "The economic and statistical value of forecast combinations under regime switching: an application to predictable U.S. returns," Working Papers 2006-059, Federal Reserve Bank of St. Louis.
    60. Alexander W. Hoffmaister & Gabriela Saborío Muñoz & Ivannia Solano Chacón & Álvaro Solera Ramírez, 2002. "Aspectos teóricos y prácticos de la adopción de un sistema de convertibilidad en Ecuador," Monetaria, CEMLA, vol. 0(1), pages 51-74, enero-mar.
    61. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.
    62. N.D. Geomelos & E. Xideas, 2014. "Forecasting spot prices in bulk shipping using multivariate and univariate models," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-37, December.
    63. Guo, Zhenhai & Zhao, Jing & Zhang, Wenyu & Wang, Jianzhou, 2011. "A corrected hybrid approach for wind speed prediction in Hexi Corridor of China," Energy, Elsevier, vol. 36(3), pages 1668-1679.
    64. Konstantinos Giannakas & K. Tran & Vangelis Tzouvelekas, 1999. "On the Choice of Functional Form in Stochastic Frontiers Models: A Box-Cox Approach," Working Papers 9915, University of Crete, Department of Economics.
    65. Elliott, Graham & Timmermann, Allan, 2002. "Optimal Forecast Combination Under General Loss Functions and Forecast Error Distributions," University of California at San Diego, Economics Working Paper Series qt15r9t2q2, Department of Economics, UC San Diego.
    66. 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.
    67. Panos K. Pouliasis & Ilias D. Visvikis & Nikos C. Papapostolou & Alexander A. Kryukov, 2020. "A novel risk management framework for natural gas markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 430-459, March.
    68. Xu, Ningzhe & Nie, Qifan & Liu, Jun & Jones, Steven, 2024. "Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis," Transport Policy, Elsevier, vol. 151(C), pages 46-62.
    69. Ruiz, Edilberto & Nieto, Fabio H., 2000. "A note on linear combination of predictors," Statistics & Probability Letters, Elsevier, vol. 47(4), pages 351-356, May.
    70. Rosen Valchev & Antony Davies, 2009. "Transparency, Performance, and Agency Budgets: A Rational Expectations Modeling Approach," Working Papers 2009-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    71. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
    72. Ulrich Gunter & Irem Önder & Egon Smeral, 2020. "Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors?," Forecasting, MDPI, vol. 2(3), pages 1-19, June.
    73. Saghafian, Soroush & Tomlin, Brian & Biller, Stephan, 2018. "The Internet of Things and Information Fusion: Who Talks to Who?," Working Paper Series rwp18-009, Harvard University, John F. Kennedy School of Government.
    74. Thomas Theobald, 2012. "Combining Recession Probability Forecasts from a Dynamic Probit Indicator," IMK Working Paper 89-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    75. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    76. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.

  18. Zellner, A. & Hong, C., 1988. "Forecasting International Growth Rates Using Bayesian Shrinkage And Other Procedures," Papers m8802, Southern California - Department of Economics.

    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    3. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    4. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    5. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    6. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    7. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    8. Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    10. Zellner, Arnold & Tobias, Justin & Ryu, Hang, 1998. "Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models," CUDARE Working Papers 198660, University of California, Berkeley, Department of Agricultural and Resource Economics.
    11. Angeliki ANAGNOSTOU & Stephanos PAPADAMOU, 2014. "The Impact Of Monetary Shocks On Regional Output: Evidence From Four South Eurozone Countries," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 105-130.
    12. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    13. Kazimi, C. & Brownstone, D., 1994. "Bootstrap Confidence Bands for Shrinkage Estimators," Papers 94-95-5, California Irvine - School of Social Sciences.
    14. Jarociński, Marek, 2008. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Working Paper Series 970, European Central Bank.
    15. A. Espasa & E. Senra & R. Albacete, 2002. "Forecasting inflation in the European Monetary Union: A disaggregated approach by countries and by sectors," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 402-421.
    16. Lindokuhle Talent Zungu & Lorraine Greyling, 2024. "The Impact of Restrictive Macroprudential Policies through Borrower-Targeted Instruments on Income Inequality: Evidence from a Bayesian Approach," Economies, MDPI, vol. 12(9), pages 1-22, September.
    17. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    18. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    19. Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.
    20. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    21. James LeSage & Bryce Cashell, 2015. "A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 533-560, March.
    22. Vahid, Farshid & Issler, Joao Victor, 2002. "The importance of common cyclical features in VAR analysis: a Monte-Carlo study," Journal of Econometrics, Elsevier, vol. 109(2), pages 341-363, August.
    23. Lozano, Francisco-Javier, 2013. "Evaluación de modelos de predicción para la venta de viviendas [Evaluation of forecasting models for house sales]," MPRA Paper 118652, University Library of Munich, Germany.
    24. George Athanasopoulos & Heather M. Anderson & Farshid Vahid, 2007. "Nonlinear autoregressive leading indicator models of output in G-7 countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 63-87.
    25. Zellner, Arnold & Min, Chung-ki, 1998. "Forecasting turning points in countries' output growth rates: A response to Milton Friedman," Journal of Econometrics, Elsevier, vol. 88(2), pages 203-206, November.
    26. Comunale, Mariarosaria, 2022. "A panel VAR analysis of macro-financial imbalances in the EU," Journal of International Money and Finance, Elsevier, vol. 121(C).
    27. 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.
    28. Luis Fernando Melo & Rubén Albeiro Loaiza Maya, 2012. "Bayesian Forecast Combination for Inflation Using Rolling Windows: An Emerging Country Case," Borradores de Economia 9511, Banco de la Republica.
    29. Patton, Andrew J. & Timmermann, Allan, 2007. "Properties of optimal forecasts under asymmetric loss and nonlinearity," Journal of Econometrics, Elsevier, vol. 140(2), pages 884-918, October.
    30. Rickman, Dan S., 1995. "A bayesian analysis of the use of pooled coefficients in a structural regional economic model," International Journal of Forecasting, Elsevier, vol. 11(3), pages 477-490, September.
    31. Anastasios Evgenidis & Masashige Hamano & Wessel N. Vermeulen, 2021. "Economic consequences of follow-up disasters: lessons from the 2011 Great East Japan Earthquake," Working Papers 2111, Waseda University, Faculty of Political Science and Economics.
    32. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.
    33. Prüser, Jan & Blagov, Boris, 2022. "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers 960, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    34. Poncela, Pilar, 1996. "Pooling information and forecasting with dynamic factor analysis," DES - Working Papers. Statistics and Econometrics. WS 10709, Universidad Carlos III de Madrid. Departamento de Estadística.
    35. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Further evidence on forecasting international GNP growth rates using unobserved components transfer function models," Documentos de Trabajo del ICAE 9312, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    36. Dennis Bonam & Emmanuel De Veirman & Gavin Goy, 2020. "Should developed economies manage international capital flows?," Working Papers 702, DNB.
    37. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    38. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    39. Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.
    40. Peter C.B. Phillips, 1992. "Bayes Methods for Trending Multiple Time Series with an Empirical Application to the US Economy," Cowles Foundation Discussion Papers 1025, Cowles Foundation for Research in Economics, Yale University.
    41. Ageliki Anagnostou & Piotr Krajewski & Katarzyna Pilat, 2020. "Regional Specific Idiosyncrasies and Fiscal Policy: Evidence from 47 Regions of the Central and Eastern European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 936-954.
    42. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Recursive identification, estimation and forecasting of nonstationary economic time series with applications to GNP international data," Documentos de Trabajo del ICAE 9310, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  19. Zellner, A., 1988. "Causality And Causal Laws In Economics," Papers m8801, Southern California - Department of Economics.

    Cited by:

    1. Masih, Abul M. M. & Masih, Rumi, 1999. "Are Asian stock market fluctuations due mainly to intra-regional contagion effects? Evidence based on Asian emerging stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 251-282, August.
    2. George S. Tavlas & P.A.V.B. Swamy, 2006. "The New Keynesian Phillips Curve and Inflation Expectations: Re-Specification and Interpretation," Working Papers 34, Bank of Greece.
    3. R. I. Udegbunam, 2002. "Openness, Stock Market Development, and Industrial Growth in Nigeria," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 41(1), pages 69-92.
    4. Nauros F. Campos & Jeffrey B. Nugent, 2000. "Investment and Instability," William Davidson Institute Working Papers Series 337, William Davidson Institute at the University of Michigan.
    5. Stephen Hall & P. A. V. B. Swamy & George S. Tavlas, 2011. "Generalized Cointegration: A New Concept with an Application to Health Expenditure and Health Outcomes," Discussion Papers in Economics 11/22, Division of Economics, School of Business, University of Leicester.
    6. Herrera Gómez, Marcos & Ruiz Marín, Manuel & Mur Lacambra, Jesús, 2014. "Testing Spatial Causality in Cross-section Data," MPRA Paper 56678, University Library of Munich, Germany.
    7. Ramesh Mohan, 2006. "Causal Relationship Between Savings And Economic Growth In Countries With Different Income Levels," Economics Bulletin, AccessEcon, vol. 5(3), pages 1-12.
    8. Hall, Stephen G. & Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "Assessing the causal relationship between euro-area money and prices in a time-varying environment," Economic Modelling, Elsevier, vol. 26(4), pages 760-766, July.
    9. Nauro F. Campos & Jeffrey B. Nugent, 2001. "Who Is Afraid Of Political Instability?," Development and Comp Systems 0012016, University Library of Munich, Germany.
    10. Andersson, Björn, 1999. "On the Causality Between Saving and Growth: Long- and Short-Run Dynamics and Country Heterogeneity," Working Paper Series 1999:18, Uppsala University, Department of Economics.
    11. M. Imam Alam, 2003. "Manufactured Exports, Capital Good Imports, and Economic Growth: Experience of Mexico and Brazil," International Economic Journal, Taylor & Francis Journals, vol. 17(4), pages 85-105.
    12. Marcos Herrera & Jesús Mur & Manuel Ruiz, 2016. "Detecting causal relationships between spatial processes," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 577-594, August.
    13. Masih, Abul M. M. & Masih, Rumi, 1996. "Empirical tests to discern the dynamic causal chain in macroeconomic activity: new evidence from Thailand and Malaysia based on a multivariate cointegration/vector error-correction modeling approach," Journal of Policy Modeling, Elsevier, vol. 18(5), pages 531-560, October.
    14. Masih, A. Mansur M. & Masih, Rumi, 2002. "Propagative causal price transmission among international stock markets: evidence from the pre- and postglobalization period," Global Finance Journal, Elsevier, vol. 13(1), pages 63-91.
    15. Utku Utkulu & Durmus Özdemir, 2004. "Does Trade Liberalization Cause a Long Run Economic Growth in Turkey," Economic Change and Restructuring, Springer, vol. 37(3), pages 245-266, September.
    16. Dawson, John W., 2003. "Causality in the freedom-growth relationship," European Journal of Political Economy, Elsevier, vol. 19(3), pages 479-495, September.
    17. Stephen G. Hall & P. A. V. B. Swamy & George S. Tavlas, 2014. "Time Varying Coefficient Models; A Proposal for selecting the Coefficient Driver Sets," Discussion Papers in Economics 14/18, Division of Economics, School of Business, University of Leicester.
    18. P. Swamy & Stephen Hall, 2012. "Measurement of causal effects," Economic Change and Restructuring, Springer, vol. 45(1), pages 3-23, February.
    19. Khalifa Ghali, 1999. "Government size and economic growth: evidence from a multivariate cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 31(8), pages 975-987.
    20. González, Fernando & Launonen, Simo, 2005. "Towards European monetary integration: the evolution of currency risk premium as a measure for monetary convergence prior to the implementation of currency unions," Working Paper Series 569, European Central Bank.
    21. Grahame Thompson, 1993. "Causality in economics: Rhetorical ethic or positivist empiric?," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(1), pages 47-71, February.
    22. Steven Ongena, 1995. "Monetary policy and credit conditions: new evidence," Macroeconomics 9503001, University Library of Munich, Germany.
    23. Shahzad, Syed Jawad Hussain & Rehman, Mobeen Ur & Hurr, Maryam & Zakaria, Muhammad, 2014. "Do Economic and Financial Development Increase Carbon Emission in Pakistan: Empirical Analysis through ARDL Cointegration and VECM Causality," MPRA Paper 60310, University Library of Munich, Germany.
    24. P.A.V.B. Swamy & George S. Tavlas & Stephen G. Hall & George Hondroyiannis, 2008. "Estimation of Parameters in the Presence of Model misspecification and Measurement Error," Discussion Papers in Economics 08/27, Division of Economics, School of Business, University of Leicester.
    25. John J. Seater & John W. Dawson, 2008. "The Macroeconomic Effects of Federal Regulation," 2008 Meeting Papers 1035, Society for Economic Dynamics.
    26. Benjamin M. Friedman, 1995. "Does Monetary Policy Affect Real Economic Activity?: Why Do We Still Ask This Question?," NBER Working Papers 5212, National Bureau of Economic Research, Inc.
    27. Shahzad, Syed Jawad Hussain & Ahmed, Tanveer & Rehman, Mobeen Ur & Zakaria, Muhammad, 2014. "Relationship between Developed, Emerging and South Asian Equity Markets: Empirical Evidence with a Multivariate Framework Analysis," MPRA Paper 60398, University Library of Munich, Germany.
    28. Masih, Abul M. M. & Masih, Rumi, 1997. "Can family-planning programs "cause" a significant fertility decline in countries characterized by very low levels of socioeconomic development? New evidence from Bangladesh based on dynamic," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 441-468, August.
    29. Stephen Hall & George Hondroyiannis & P. Swamy & George Tavlas, 2010. "The Fisher Effect Puzzle: A Case of Non-Linear Relationship?," Open Economies Review, Springer, vol. 21(1), pages 91-103, February.
    30. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
    31. Masih, Abul M. M. & Masih, Rumi, 1997. "Dynamic linkages and the propagation mechanism driving major international stock markets: An analysis of the pre- and post-crash eras," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 859-885.
    32. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
    33. Imad Jabir, 2009. "The dynamic relationship between the US GDP, imports and domestic production of crude oil," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3171-3178.
    34. Swamy Paravastu & Peter Muehlen & Jatinder Singh Mehta & I-Lok Chang, 2022. "The State Of Econometrics After John W. Pratt, Robert Schlaifer, Brian Skyrms, And Robert L. Basmann," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 627-654, November.
    35. Masih, Rumi & Masih, Abul M. M., 1996. "Macroeconomic activity dynamics and Granger causality: New evidence from a small developing economy based on a vector error-correction modelling analysis," Economic Modelling, Elsevier, vol. 13(3), pages 407-426, July.
    36. Abul Masih & Rumi Masih, 1997. "A comparative analysis of the propagation of stock market fluctuations in alternative models of dynamic causal linkages," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 59-74.
    37. Looney, Robert E., 1997. "Excessive defense expenditures and economic stabilization: The case of Pakistan," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 381-406, August.
    38. Goldthorpe, John H., 1998. "Causation, Statistics and Sociology," Research Series, Economic and Social Research Institute (ESRI), number GLS29.
    39. Masih, Abul M. M. & Masih, Rumi, 1997. "On the temporal causal relationship between energy consumption, real income, and prices: Some new evidence from Asian-energy dependent NICs Based on a multivariate cointegration/vector error-correctio," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 417-440, August.
    40. Khalifa Ghali, 1998. "Public investment and private capital formation in a vector error-correction model of growth," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 837-844.

  20. Zellner, A. & Hong, C. & Gulati, G.M., 1988. "Turning Points In Economic Time Series, Loss Structures And Bayesian Forecasting," Papers m8805, Southern California - Department of Economics.

    Cited by:

    1. Kenneth W Clements & Jiawei Si, 2010. "The Investment Project Pipeline Cost Escalation, Lead-Time, Success, Failure And Speed1," Economics Discussion / Working Papers 10-25, The University of Western Australia, Department of Economics.

  21. Zellner, A., 1988. "Optimal Information-Processing And Bayes' Theorem," Papers m8803, Southern California - Department of Economics.

    Cited by:

    1. Y. Farzin & Jonathan Kaplan, 2004. "Nonpoint Source Pollution Control under Incomplete and Costly Information," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(4), pages 489-506, August.
    2. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    3. Esfandiar (Essie) Maasoumi & Ehsan S. Soofi, 2014. "Arnold Zellner: Scientist, Leader, Mentor, and Friend," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 1-2, June.
    4. P. Maiti & T. J. Rao & J. K. Ghosh, 2016. "The Indian Official Statistical System Revisited," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 78(2), pages 215-237, November.
    5. Mahmoud El-Gamal, 2001. "A Bayesian Interpretation Of Multiple Point Estimates," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 235-245.
    6. Arndt, Channing & Simler, Kenneth R., 2005. "Estimating utility-consistent poverty lines," FCND discussion papers 189, International Food Policy Research Institute (IFPRI).
    7. Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," Economic Modelling, Elsevier, vol. 19(3), pages 375-398, May.
    8. Blien, Uwe & Tassinopoulos, Alexandros, 1999. "Forecasting Regional Employment with the ENTROP Method," ERSA conference papers ersa99pa344, European Regional Science Association.
    9. Anne‐Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, September.
    10. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    11. John J. McCall, 2004. "Induction: From Kolmogorov and Solomonoff to De Finetti and Back to Kolmogorov," Metroeconomica, Wiley Blackwell, vol. 55(2‐3), pages 195-218, May.
    12. Golan, Amos & Judge, George G. & Perloff, Jeffrey M., 1995. "Estimating The Size Distribution Of Firms Using Government Summary Statistics," CUDARE Working Papers 25081, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Chen, Min & Wang, Xinlei, 2011. "Approximate predictive densities and their applications in generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1570-1580, April.
    14. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    15. Zellner, Arnold, 2002. "Information processing and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 41-50, March.
    16. El-Gamal, M.A., 1997. "A Bayesian Interpretation of Extremim Estimators," Working papers 9704, Wisconsin Madison - Social Systems.
    17. D. A. S. Fraser & N. Reid & E. Marras & G. Y. Yi, 2010. "Default priors for Bayesian and frequentist inference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(5), pages 631-654, November.
    18. Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
    19. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.
    20. Zellner, Arnold, 1996. "Models, prior information, and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 75(1), pages 51-68, November.
    21. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    22. Brockett, Patrick L. & Charnes, Abraham & Cooper, William W. & Learner, David & Phillips, Fred Y., 1995. "Information theory as a unifying statistical approach for use in marketing research," European Journal of Operational Research, Elsevier, vol. 84(2), pages 310-329, July.
    23. Bhati, Avinash, 2007. "Learning from multiple analogies: an Information Theoretic framework for predicting criminal recidivism," MPRA Paper 11850, University Library of Munich, Germany.
    24. Robinson, Sherman & Cattaneo, Andrea & El-Said, Moataz, 2000. "Updating and estimating a Social Accounting Matrix using cross entropy methods," TMD discussion papers 58, International Food Policy Research Institute (IFPRI).
    25. Tarp, Finn & Arndt, Channing & Jensen, Henning Tarp & Robinson, Sherman & Heltberg, Rasmus, 2002. "Facing the development challenge in Mozambique: an economywide perspective," Research reports 126, International Food Policy Research Institute (IFPRI).
    26. Keying Ye & Yuyan Duan, 2008. "Normalized Power Prior Bayesian Analysis," Working Papers 0058, College of Business, University of Texas at San Antonio.
    27. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.

  22. ZELLNER, A. & BAUWENS, Luc & VAN DIJK, H., 1987. "Bayesian specification analysis and estimation of simultaneous equation models using Monte Carlo methods," LIDAM Discussion Papers CORE 1987056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    2. 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.
    3. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    4. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    5. Pholo Bala, Alain, 2009. "Urban concentration and economic growth: checking for specific regional effects," LIDAM Discussion Papers CORE 2009038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Steel, M.F.J., 1989. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Discussion Paper 1989-8, Tilburg University, Center for Economic Research.
    9. Kwan, Yum K., 1998. "Asymptotic Bayesian analysis based on a limited information estimator," Journal of Econometrics, Elsevier, vol. 88(1), pages 99-121, November.
    10. 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.
    11. 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.
    12. 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.
    13. Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, University Library of Munich, Germany.
    14. Arnold Zellner & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2011. "Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo," Tinbergen Institute Discussion Papers 11-137/4, Tinbergen Institute.
    15. 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.
    16. John C. Chao & Peter C.B. Phillips, 1996. "Bayesian Posterior Distributions in Limited Information Analysis of the Simultaneous Equations Model Using the Jeffreys Prior," Cowles Foundation Discussion Papers 1137, Cowles Foundation for Research in Economics, Yale University.
    17. 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.
    18. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    19. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.
    20. Bauwens, L. & Dijk, H. K., 1989. "Bayesian Limited Information Analysis Revisited," Econometric Institute Archives 272386, Erasmus University Rotterdam.
    21. Kien C. Tran & Mike G. Tsionas, 2022. "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 489-506, September.
    22. Nascimento, Marcus Gerardus Lavagnole & Abanto-Valle, Carlos Antonio & Mendonça, Mario Jorge, 2019. "Multivariate Spatial IV Regression," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
    23. 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.
    24. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
    25. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
    26. Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
    27. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    28. 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.
    29. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    30. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  23. Palm, F.C. & Zellner, A., 1978. "Large sample estimation and testing procedures for dynamic equation systems," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    2. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    3. Arntzen, J.W., 1979. "Duality, segmentation and dynamics on a regional labour market," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  24. ZELLNER, Arnold & PALM, Franz, 1975. "Time series and structural analysis of monetary models of the U.S. economy," LIDAM Reprints CORE 247, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
    2. Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Post-Print hal-01440307, HAL.
    3. Hecq, A.W. & Laurent, S.F.J.A. & Palm, F.C., 2011. "On the univariate representation of multivariate volatility models with common factors," Research Memorandum 011, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    6. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    7. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Recursive identification, estimation and forecasting of nonstationary economic time series with applications to GNP international data," Documentos de Trabajo del ICAE 9310, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  25. ZELLNER, Arnold & PALM, Franz, 1974. "Time series analysis and simultaneous equation econometric models," LIDAM Reprints CORE 173, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Nijman, T. & Sentana, E., 1993. "Marginalization and Contemporaneous Aggregation in Multivariate Garch Processes," Papers 9312, Tilburg - Center for Economic Research.
    2. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    3. Li, Jian & Chavas, Jean-Paul, 2020. "The Impacts of African Swine Fever on Vertical and Spatial Hog Pricing and Market Integration in China," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304516, Agricultural and Applied Economics Association.
    4. Jean‐Paul Chavas & Giorgia Rivieccio & Salvatore Di Falco & Giovanni De Luca & Fabian Capitanio, 2022. "Agricultural diversification, productivity, and food security across time and space," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 41-58, November.
    5. Benjamin M. Friedman, 1981. "The Roles of Money and Credit in Macroeconomic Analysis," NBER Working Papers 0831, National Bureau of Economic Research, Inc.
    6. Tony Hall & Jan Jacobs & Adrian Pagan, 2013. "Macro-Econometric System Modelling @75," CAMA Working Papers 2013-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
    8. Francesca Di Iorio & Umberto Triacca, 2022. "A comparison between VAR processes jointly modeling GDP and Unemployment rate in France and Germany," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 617-635, September.
    9. Guillaume Chevillon & Alain Hecq & Sébastien Laurent, 2018. "Generating Univariate Fractional Integration within a Large VAR(1)," AMSE Working Papers 1844, Aix-Marseille School of Economics, France.
    10. M. Hashem Pesaran & Ron P Smith, 2014. "Counterfactual Analysis in Macroeconometrics: An Empirical Investigation into the Effects of Quantitative Easing," Birkbeck Working Papers in Economics and Finance 1406, Birkbeck, Department of Economics, Mathematics & Statistics.
    11. Georgiadis, Georgios, 2017. "To bi, or not to bi? Differences between spillover estimates from bilateral and multilateral multi-country models," Journal of International Economics, Elsevier, vol. 107(C), pages 1-18.
    12. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    13. Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Post-Print hal-01440307, HAL.
    14. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    15. E. Philip Howrey, 1980. "The Role of Time Series Analysis in Econometric Model Evaluation," NBER Chapters, in: Evaluation of Econometric Models, pages 275-307, National Bureau of Economic Research, Inc.
    16. John McDonald & Houston Stokes, 2013. "Monetary Policy and the Housing Bubble," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 437-451, April.
    17. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.
    18. Gebhard Kirchgässner, 1985. "Die Schweiz im internationalen Zinszusammenhang. Eine zeitreihenanalytische Untersuchung für die Zeit von 1974 bis 1983," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 121(IV), pages 329-351, December.
    19. Hecq, A.W. & Laurent, S.F.J.A. & Palm, F.C., 2011. "On the univariate representation of multivariate volatility models with common factors," Research Memorandum 011, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    20. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    21. Georgios Georgiadis, 2015. "To bi, or not to bi? differences in spillover estimates from bilateral and multilateral multi-country models," Globalization Institute Working Papers 256, Federal Reserve Bank of Dallas.
    22. Bolkesjø, Torjus F. & Buongiorno, Joseph, 2006. "Short- and long-run exchange rate effects on forest product trade: Evidence from panel data," Journal of Forest Economics, Elsevier, vol. 11(4), pages 205-221, January.
    23. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    24. Adrian Pagan, 2001. "The Getting of Macroeconomic Wisdom," International Economic Association Series, in: Jacques Drèze (ed.), Advances in Macroeconomic Theory, chapter 11, pages 219-235, Palgrave Macmillan.
    25. Claude Montmarquette, 1977. "Ramdom Walk Behavior of Finished Goods Inventory Investment : Some Theoretical and Empirical Considerations," Revue Économique, Programme National Persée, vol. 28(3), pages 352-375.
    26. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    27. H. Peter Boswijk & Jurgen A. Doornik, 2004. "Identifying, estimating and testing restricted cointegrated systems: An overview," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 440-465, November.
    28. David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
    29. Marcellino, Massimiliano, 1999. "Some Consequences of Temporal Aggregation in Empirical Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 129-136, January.
    30. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2016. "Canadian monetary policy analysis using a structural VARMA model," Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 347-373, February.
    31. Sherwin Rosen & Robert H. Topel, 1986. "A Time-Series Model of Housing Investment in the U.S," NBER Working Papers 1818, National Bureau of Economic Research, Inc.
    32. Umberto Triacca, 2016. "Measuring the Distance between Sets of ARMA Models," Econometrics, MDPI, vol. 4(3), pages 1-11, July.
    33. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    34. McNulty, Mark S., 1985. "Information usage in the formation of price expectations: theory and econometric tests," ISU General Staff Papers 1985010108000013085, Iowa State University, Department of Economics.
    35. Franchi, Massimo & Paruolo, Paolo, 2011. "A characterization of vector autoregressive processes with common cyclical features," Journal of Econometrics, Elsevier, vol. 163(1), pages 105-117, July.
    36. Rausser, Gordon C & Carter, Colin, 1983. "Futures Market Efficiency in the Soybean Complex," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 469-478, August.
    37. Nguyen, Giang & Engle, Robert & Fleming, Michael & Ghysels, Eric, 2020. "Liquidity and volatility in the U.S. Treasury market," Journal of Econometrics, Elsevier, vol. 217(2), pages 207-229.
    38. Chavas, Jean-Paul, 2024. "Economic resilience:Measurement and assessment across time and space," Research in Economics, Elsevier, vol. 78(2).
    39. Brown, Stephen J. & Hiraki, Takato & Arakawa, Kiyoshi & Ohno, Saburo, 2009. "Risk premia in international equity markets revisited," Pacific-Basin Finance Journal, Elsevier, vol. 17(3), pages 295-318, June.
    40. Bahram Adrangi & Mary Allender, 1998. "Budget deficits and stock prices: International evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(2), pages 57-66, June.
    41. Stephan Smeekes & Jean-Pierre Urbain, 2014. "On the Applicability of the Sieve Bootstrap in Time Series Panels," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 139-151, February.
    42. Palm, F.C., 1981. "Structural econometric modelling and time series analysis towards an integrated approach," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    43. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2017. "Crude Oil Price Volatility Spillovers and Agricultural Commodities: A Study in Time and Frequency Domains," Review of Economics & Finance, Better Advances Press, Canada, vol. 9, pages 42-56, August.
    44. Neumann, Todd C. & Fishback, Price V. & Kantor, Shawn, 2010. "The Dynamics of Relief Spending and the Private Urban Labor Market During the New Deal," The Journal of Economic History, Cambridge University Press, vol. 70(1), pages 195-220, March.
    45. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    46. Luati, Alessandra & Proietti, Tommaso, 2009. "Hyper-spherical and Elliptical Stochastic Cycles," MPRA Paper 15169, University Library of Munich, Germany.
    47. Lutkepohl, Helmut & Poskitt, D S, 1996. "Specification of Echelon-Form VARMA Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 69-79, January.
    48. Kozicki, Sharon & Tinsley, P. A., 2001. "Shifting endpoints in the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 613-652, June.
    49. Dietmar Bauer & Lukas Matuschek & Patrick de Matos Ribeiro & Martin Wagner, 2020. "A Parameterization of Models for Unit Root Processes: Structure Theory and Hypothesis Testing," Econometrics, MDPI, vol. 8(4), pages 1-54, November.
    50. Roque B. Fernandez, 1979. "The Short-Run Output-Inflation Tradeoff in Argentina and Brazil," NBER Chapters, in: Short-Term Macroeconomic Policy in Latin America, pages 133-168, National Bureau of Economic Research, Inc.
    51. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    52. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
    53. Mardi Dungey & Adrian Pagan, 2008. "Extending an SVAR Model of the Australian Economy," NCER Working Paper Series 21, National Centre for Econometric Research.
    54. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
    55. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Macro-panels and reality," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    56. Raghavan, Mala & Athanasopoulos, George, 2019. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Economic Modelling, Elsevier, vol. 77(C), pages 187-203.
    57. Victor Zarnowitz, 1992. "References," NBER Chapters, in: Business Cycles: Theory, History, Indicators, and Forecasting, pages 535-576, National Bureau of Economic Research, Inc.
    58. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2011. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 1103, University of Nevada, Las Vegas , Department of Economics.
    59. Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
    60. Marco Reale & Granville Tunnicliffe Wilson, 2001. "Identification of vector AR models with recursive structural errors using conditional independence graphs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 49-65, January.
    61. Amir D. Aczel & Norman H. Josephy, 1991. "The Chaotic Behavior of Foreign Exchange Rates," The American Economist, Sage Publications, vol. 35(2), pages 16-24, October.
    62. Chavas, Jean-Paul & Mehta, Aashish, 2002. "Price Dynamics in a Vertical Sector: The Case of Butter," Staff Paper Series 452, University of Wisconsin, Agricultural and Applied Economics.
    63. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    64. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2009. "Cointegration in a historical perspective," Econometric Institute Research Papers EI 2009-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    65. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    66. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    67. Marc Nerlove, 1979. "The Dynamics of Supply: Retrospect and Prospect," Discussion Papers 394, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    68. Antoni Espasa & Daniel Peña, 1990. "Los modelos Arima, el estado de equilibrio en variables económicas y su estimación," Investigaciones Economicas, Fundación SEPI, vol. 14(2), pages 191-211, May.
    69. Chevillon, G. & Hecq, A.W. & Laurent, S.F.J.A., 2015. "Long memory through marginalization of large systems and hidden cross-section dependence," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    70. Bahram Adrangi & Richard D. Gritta & Kambiz Raffiee, 2013. "Volatility Spillovers and Nonlinear Dynamics between Jet Fuel Prices and Air Carrier Revenue Passenger Miles in the US," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 01-18, August.
    71. Alasdair Scott & George Kapetanios & Adrian Pagan, 2005. "Making a match: combining theory and evidence in policy-oriented macroeconomic modelling," Computing in Economics and Finance 2005 462, Society for Computational Economics.
    72. Franses, Philip Hans, 2008. "Merging models and experts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 31-33.
    73. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    74. Wilms, Ines & Rombouts, Jeroen & Croux, Christophe, 2021. "Multivariate volatility forecasts for stock market indices," International Journal of Forecasting, Elsevier, vol. 37(2), pages 484-499.
    75. J. S. Mehta & G. V. L. Narasimham & P. A. V. B. Swamy, 1975. "Estimation of a dynamic demand function for gasoline with different schemes of parameter variation," International Finance Discussion Papers 70, Board of Governors of the Federal Reserve System (U.S.).
    76. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    77. Gianluca Cubadda & Umberto Triacca, 2011. "An Alternative Solution to the Autoregressivity Paradox in Time Series Analysis," CEIS Research Paper 184, Tor Vergata University, CEIS, revised 24 Jan 2011.
    78. Martin Wagner, 2010. "Cointegration analysis with state space models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(3), pages 273-305, September.
    79. Hsiao, Cheng & Fujiki, Hiroshi, 1998. "Nonstationary Time-Series Modeling versus Structural Equation Modeling: With an Application to Japanese Money Demand," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 16(1), pages 57-79, May.
    80. Biørn, Erik, 2012. "An Econometric Market Model of Capital and Investment Inspired by Haavelmo," Memorandum 11/2012, Oslo University, Department of Economics.
    81. Thomas M Fullerton Jr & Richard A Hirth & Mark B Smith, 2004. "Inflationary Dynamics and the Angell-Johnson Proposals," Macroeconomics 0409009, University Library of Munich, Germany.
    82. Anna Mikusheva & Mikkel S{o}lvsten, 2023. "Linear Regression with Weak Exogeneity," Papers 2308.08958, arXiv.org, revised Jan 2024.
    83. Jean-Paul Chavas, 2021. "The dynamics and volatility of prices in multiple markets: a quantile approach," Empirical Economics, Springer, vol. 60(4), pages 1607-1628, April.
    84. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    85. Rafael Reuveny & William R. Thompson, 1999. "Economic Innovation, Systemic Leadership, and Military Preparations for War," Journal of Conflict Resolution, Peace Science Society (International), vol. 43(5), pages 570-595, October.
    86. Giacomo Sbrana, 2012. "Aggregation and marginalization of GARCH processes: some further results," METRON, Springer;Sapienza Università di Roma, vol. 70(2), pages 165-172, August.
    87. Ibrahim L. Awad, 2011. "The Impact of Recent Innovations in Monetary Policy on the Monetary Transmission Mechanism in Egypt," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 186-209.
    88. Palm, F.C. & Zellner, A., 1978. "Large sample estimation and testing procedures for dynamic equation systems," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    89. Ermini, Luigi & Chang, Dongkoo, 1996. "Testing the joint hypothesis of rationality and neutrality under seasonal cointegration: The case of Korea," Journal of Econometrics, Elsevier, vol. 74(2), pages 363-386, October.
    90. René Capitelli, 1985. "Eine empirische Untersuchung über den Zusammenhang von kurz-, mittel- und langfristigen schweizerischen Zinssätzen," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 121(I), pages 1-22, March.
    91. Emre Kahraman & Gazanfer Unal, 2016. "Multiple Wavelet Coherency Analysis and Forecasting of Metal Prices," Papers 1602.01960, arXiv.org.
    92. Javier Moreno & Jaime H. Beltrán & Leovardo Mata, 2019. "Efectos de corto y largo plazo de los programas de condonación de créditos fiscales en la recaudación del Impuesto al Valor Agregado," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(1), pages 113-128, Enero-Mar.
    93. Anirvan Banerji & Pami Dua & Stephen M. Miller, 2002. "Performance Evaluation of the New Connecticut Leading Employment Index Using Lead Profiles and BVAR Models," Working papers 2002-34, University of Connecticut, Department of Economics, revised Jun 2005.
    94. Pauwels, Koen H., 2018. "Modeling Dynamic Relations Among Marketing and Performance Metrics," Foundations and Trends(R) in Marketing, now publishers, vol. 11(4), pages 215-301, November.
    95. Jian Li & Jean‐Paul Chavas & Chongguang Li, 2022. "The dynamic effects of price support policy on price volatility: The case of the rice market in China," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 307-320, March.
    96. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    97. Banerjee, A. & Weaver, Robert D., 1982. "Cash Price Stability in the Presence of Futures Markets: A Multivariate Causality Test for Live Beef Cattle," 1982 Annual Meeting, August 1-4, Logan, Utah 279460, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    98. Huiqin Jiang & Xiao Zhang & Xinxiao Shao & Jianqiang Bao, 2018. "How Do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?," Sustainability, MDPI, vol. 10(6), pages 1-12, June.
    99. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
    100. Yin, Runsheng & Baek, Jungho, 2004. "The US-Canada softwood lumber trade dispute: what we know and what we need to know," Forest Policy and Economics, Elsevier, vol. 6(2), pages 129-143, March.
    101. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2014. "Intraday Return and Volatility Spillover Mechanism from Chinese to Japanese Stock Market," Discussion Papers in Economics and Business 14-01, Osaka University, Graduate School of Economics.
    102. Santiago Herrera, 1990. "Notas sobre la existencia de una raíz unitaria en la serie del tipo de cambio real del peso colombiano," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 5(1), pages 157-171.
    103. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
    104. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Inference in Non-stationary High-Dimensional VARs," Papers 2302.01434, arXiv.org, revised Sep 2023.
    105. Rausser, Gordon C & Walraven, Nicholas A, 1990. "Linkages among Commodity Futures Markets and Dynamic Welfare Analysis," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 631-639, November.
    106. Stephen K. McNees & Geoffrey M. B. Tootell, 1991. "\"Whither New England\"?," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 11-26.
    107. Tsung-Wu Ho, 2008. "On the dynamic relationship of exchange rates and monetary fundamentals: an impulse-response analysis by local projections," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1141-1145.
    108. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
    109. Lutkepohl, Helmut, 2007. "General-to-specific or specific-to-general modelling? An opinion on current econometric terminology," Journal of Econometrics, Elsevier, vol. 136(1), pages 319-324, January.
    110. Ashutosh K. Tripathi, 2024. "Price support policy and market price dynamics: The case of Indian wheat," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 412-427, March.
    111. Spanos, Aris, 1990. "The simultaneous-equations model revisited : Statistical adequacy and identification," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 87-105.
    112. Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.
    113. Rafael Flors de Frutos & Alfredo M. Pereira, 1993. "Testing theories of economic fluctuations and growth in early development. (The case of the Chesapeake tobacco economy)," Documentos de Trabajo del ICAE 9308, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    114. Jean‐Paul Chavas & Jian Li, 2020. "A quantile autoregression analysis of price volatility in agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 273-289, March.
    115. Tilak Abeysinghe & Kristin J. Forbes, 2001. "Trade Linkages and Output-Multiplier Effects: A Structural VAR Approach with a Focus on Asia," NBER Working Papers 8600, National Bureau of Economic Research, Inc.
    116. Zheng, Fei & Xu, Li Da & Tang, Bingyong, 2000. "Forecasting regional income inequality in China," European Journal of Operational Research, Elsevier, vol. 124(2), pages 243-254, July.
    117. Shi, Juehui & Lin, Winston T. & Pham, Ngoc Cindy, 2021. "The Relationships Among Managerial Discretion, Firm Performance, and Chief Executive Officer Compensation: A Simultaneous Equations System Approach," American Business Review, Pompea College of Business, University of New Haven, vol. 24(1), pages 114-140, May.
    118. Renee Fry & Adrian Pagan, 2005. "Some Issues In Using Vars For Macroeconometric Research," CAMA Working Papers 2005-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    119. Rodney L. Jacobs, 1976. "Data Errors and Data Differences," UCLA Economics Working Papers 082, UCLA Department of Economics.
    120. Walter Wasserfallen & Hans Kyburz, 1985. "The behavior of flexible exchange rates in the short run — A systematic investigation," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 121(4), pages 646-660, December.
    121. Nunzio Cappuccio & Diego Lubian, 2016. "Unit Root Tests: The Role of the Univariate Models Implied by Multivariate Time Series," Econometrics, MDPI, vol. 4(2), pages 1-11, April.
    122. John McDonald, 1979. "A time series approach to forecasting Australian total live-births," Demography, Springer;Population Association of America (PAA), vol. 16(4), pages 575-601, November.
    123. Özer Karagedikli & Rishab Sethi & Christie Smith & Aaron Drew, 2008. "Changes in the transmission mechanism of monetary policy in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/03, Reserve Bank of New Zealand.
    124. JOHN McDONALD & PETER MORGAN, 1981. "Forecasting Australian Marriage Rates," The Economic Record, The Economic Society of Australia, vol. 57(1), pages 47-57, March.
    125. Dong Wan Shin & Sahadeb Sarkar, 1995. "Estimation Of The Multivariate Autoregressive Moving Average Having Parameter Restrictions And An Application To Rotational Sampling," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(4), pages 431-444, July.
    126. Ibrahim L. Awad & Ashraf Galal Eid, 2017. "The Mechanisms of Stagflation in Egypt: The Arab Spring Five Years Later," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 129-145.
    127. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.
    128. Georgios Georgiadis, 2016. "To bi, or not to bi? Differences in Spillover Estimates from Bilateral and Multilateral Multi-country Models," EcoMod2016 9145, EcoMod.
    129. Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
    130. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    131. Nijman, Th. & Palm, F.C., 1984. "Missing observations in a quarterly model for the aggregate labor market in the Netherlands," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    132. Pami Dua & Stephen M. Miller & David J. Smyth, 1996. "Using Leading Indicators to Forecast US Home Sales in a Bayesian VAR Framework," Working papers 1996-08, University of Connecticut, Department of Economics.
    133. Ali Akarca & Dimitri Andrianacos, 1997. "Detecting break in oil price series using the Box-Tiao method," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 217-224, May.
    134. David F. Hendry & Gordon J. Anderson, 1975. "Testing Dynamic Specification in Small Simultaneous Systems: An Application to a Model of Building Society Behavior in the United Kingdom," Cowles Foundation Discussion Papers 398, Cowles Foundation for Research in Economics, Yale University.
    135. Beutler, Martin K. & Brorsen, B. Wade, 1984. "Price Discovery In The Soybean Complex," 1984 Annual Meeting, August 5-8, Ithaca, New York 278959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    136. Blommestein, H.J. & Nijkamp, P., 1983. "Testing the spatial scale and the dynamic structure in regional models : a contribution to spatial econometric specification analysis," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    137. Victor Zarnowitz, 1982. "Expectations and Forecasts from Business Outlook Surveys," NBER Working Papers 0845, National Bureau of Economic Research, Inc.
    138. Bauer, Dietmar & Wagner, Martin, 2009. "Using subspace algorithm cointegration analysis: Simulation performance and application to the term structure," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1954-1973, April.
    139. Richard Hartman & John H. Makin, 1982. "Inflation Uncertainty and Interest Rates: Theory and Empirical Tests," NBER Working Papers 0906, National Bureau of Economic Research, Inc.
    140. John Mcdonald, 1977. "The Relationship Between Wage Inflation and Excess Demand — New Estimates Using Optimal Extrapolative Wage Expectations," The Economic Record, The Economic Society of Australia, vol. 53(4), pages 490-507, December.
    141. Walter Wasserfallen & Jean-Marie Gassmann & Andreas Gfeller, 1986. "Die Nachfrage nach Telefongesprächen - Erklärung und Prognose Eine empirische Untersuchung für die Schweiz," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 122(II), pages 187-197, June.
    142. Lupi, Claudio, 2009. "Unit Root CADF Testing with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i02).
    143. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2013. "Testing for common cycles in non-stationary VARs with varied frecquency data," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
    144. Debabrata Bagchi & Georgios E. Chortareas & Stephen M. Miller, 2003. "The Real Exchange Rate in Small Open Developed Economies: Evidence from Cointegration Analysis," Working papers 2003-27, University of Connecticut, Department of Economics.
    145. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    146. Roberto ESPOSTI, 2007. "On the Decline of Agriculture. Evidence from Italian Regions in the Post-WWII Period," Working Papers 300, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    147. Onur Ozsoy, 2008. "Government Budget Deficits, Defence Expenditure And Income Distribution: The Case Of Turkey," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(1), pages 61-75.
    148. Pu Chen & Joachim Frohn, 2006. "On the Specification and Estimation of Large Scale Simultaneous Structural Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 2, pages 7-24, Springer.
    149. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2021. "Dynamics of crude oil price shocks and major Latin American Equity Markets: A study in time and frequency domains," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 432-455, July.
    150. Paul Lau, Sau-Him, 1999. "I(0) In, integration and cointegration out:: Time series properties of endogenous growth models," Journal of Econometrics, Elsevier, vol. 93(1), pages 1-24, November.
    151. Zhou, Mo & Buongiorno, Joseph, 2005. "Price transmission between products at different stages of manufacturing in forest industries," Journal of Forest Economics, Elsevier, vol. 11(1), pages 5-19, June.
    152. Cancelo, José Ramón, 1991. "Un nuevo indicador semanal y mensual de actividad basado en el consumo de energía eléctrica," DE - Documentos de Trabajo. Economía. DE 3004, Universidad Carlos III de Madrid. Departamento de Economía.
    153. Pablo Marshall, 1998. "Prediccion De Series De Ventas: Un Analisis De Cointegracion Con El Pib," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 1(1), pages 89-109.
    154. Rafael Flores de Frutos, 1993. "Sobre la Estimación de Primas por Plazo dentro de la Estructura Temporal de Tipos de Interes," Documentos de Trabajo del ICAE 9302, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    155. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Recursive identification, estimation and forecasting of nonstationary economic time series with applications to GNP international data," Documentos de Trabajo del ICAE 9310, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  26. ZELLNER, Arnold & KMENTA, Jan & DREZE, Jacques H., 1966. "Specification and estimation of Cobb-Douglas production function models," LIDAM Reprints CORE 12, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    2. Coelli, T. J., 1995. "Recent Developments in Frontier Modelling and Efficiency Measurement," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148798, Australian Agricultural and Resource Economics Society.
    3. Giannis Karagiannis & Magnus Kellermann, 2019. "Stochastic frontier models with correlated effects," Journal of Productivity Analysis, Springer, vol. 51(2), pages 175-187, June.
    4. Edward Chen, 1981. "The Role of MNCs in the Production and Transfer of Technology in Host Countries," Development and Change, International Institute of Social Studies, vol. 12(4), pages 579-599, October.
    5. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    6. Swati Basu & Saul Estrin & Jan Svejnar, 2005. "Employment Determination in Enterprises under Communism and in Transition: Evidence from Central Europe," ILR Review, Cornell University, ILR School, vol. 58(3), pages 353-369, April.
    7. Hea-Jung Hyun & Jung Hur, 2014. "Trade Openness and Vertical Structure: Evidence From Korean Firm-Level Data," Open Economies Review, Springer, vol. 25(4), pages 701-720, September.
    8. Liu, Zinan & Zhuang, Juzhong, 2000. "Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 545-564, September.
    9. Giannis Karagiannis & Stelios Katranidis & Vangelis Tzouvelekas, 1999. "Measuring Productive Efficiency of Seabass and Seabream Farms in Greece," Working Papers 9911, University of Crete, Department of Economics.
    10. Kox, Henk L.M. & Leeuwen, George van & Wiel, Henry van der, 2010. "Competitive, but too small - productivity and entry-exit determinants in European business services," MPRA Paper 24389, University Library of Munich, Germany.
    11. Feike, Til & Khor, Ling Yee & Mamitimin, Yusuyunjiang & Ha, Nan & Li, Lin & Abdusalih, Nurbay & Xiao, Haifeng & Doluschitz, Reiner, 2017. "Determinants of cotton farmers’ irrigation water management in arid Northwestern China," Agricultural Water Management, Elsevier, vol. 187(C), pages 1-10.
    12. Nan Jiang & Basil Sharp, 2015. "Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 44(1), pages 39-49, August.
    13. Gafsi, Salem & Roe, Terry L., 1977. "Adoption Of Unlike High Yielding Wheat Varieties In Tunisia," Staff Papers 13314, University of Minnesota, Department of Applied Economics.
    14. Rajiv Banker & Hsihui Chang & Ehsan Feroz, 2014. "Performance measurement in nonprofit governance: an empirical study of the Minnesota independent school districts," Annals of Operations Research, Springer, vol. 221(1), pages 47-71, October.
    15. Khor, Ling Yee & Zeller, Manfred, 2013. "Perception and Real Quality of Fertilizer," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149249, Agricultural and Applied Economics Association.
    16. Hugo Fuentes & Emili Grifell-Tatjé & Sergio Perelman, 2001. "A Parametric Distance Function Approach for Malmquist Productivity Index Estimation," Journal of Productivity Analysis, Springer, vol. 15(2), pages 79-94, March.
    17. B. E. Bravo‐Ureta & L. Rieger, 1990. "Alternative Production Frontier Methodologies And Dairy Farm Efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(2), pages 215-226, May.
    18. Alexandre Gohin & Herve Guyomard & Fabrice Levert & . Ministère de L'Aménagement Du Territoire Et de L'Environnement, Direction Générale de L'Administration Et Du Développement, Paris (fra) & Francois, 2000. "Economic impacts of reducing agricultural use of mineral fertilizer in France : a general equilibrium analysis [Impacts économiques d'une réduction des utilisations agricoles des engrais minéraux e," Post-Print hal-02840460, HAL.
    19. Bitzer, Jürgen & Görg, Holger, 2008. "Foreign direct investment, competition and industry performance," Kiel Working Papers 1416, Kiel Institute for the World Economy (IfW Kiel).
    20. James Innes & Sean Pascoe, 2008. "Productivity Impacts of Veil Nets on UK Crangon Vessels," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 574-588, September.
    21. 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).
    22. Jones, Donald W. & Dale, Virginia H. & Beauchamp, John J. & Pedlowski, Marcos A. & O'Neill, Robert V., 1995. "Farming in Rondonia," Resource and Energy Economics, Elsevier, vol. 17(2), pages 155-188, August.
    23. Isaac Abekah-Koomson & Pang Wei Loon & Gamini Premaratne & Teo Siew Yean, 2021. "Total Factor Productivity Growth: Evidence from West African Economies," Global Business Review, International Management Institute, vol. 22(6), pages 1405-1420, December.
    24. Antonio Álvarez & Carlos Arias & William Greene, 2004. "Accounting for unobservables in production models:management and inefficiency," Economic Working Papers at Centro de Estudios Andaluces E2004/72, Centro de Estudios Andaluces.
    25. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    26. Jürgen Bitzer & Andreas Stephan, 2002. "A Schumpeter-Inspired Approach to the Construction of R&D Capital Stocks," Discussion Papers of DIW Berlin 300, DIW Berlin, German Institute for Economic Research.
    27. Paris, Quirino & Caputo, Michael R., 2004. "Efficient Estimates of a Model of Production and Cost," Working Papers 93742, University of California, Davis, Department of Agricultural and Resource Economics.
    28. 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.
    29. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    30. Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Center for Research in Economics and Statistics.
    31. Dale Squires & R. Quentin Grafton & Mohammed Ferdous Alam & Ishak Haji Omar, 2002. "Technical Efficiency in the Malaysian Gill Net Artisanal Fishery," Economics and Environment Network Working Papers 0204, Australian National University, Economics and Environment Network.
    32. Pope, Rulon D. & Just, Richard E., 1977. "On The Competitive Firm Under Production Uncertainty," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(2), pages 1-8, August.
    33. Yiming Li & Liru Bai, 2024. "Analyzing Green Growth Efficiency in China and Investigating the Spatial Effects of Fiscal Decentralization: Case Study of Prefecture-Level Cities," Sustainability, MDPI, vol. 16(8), pages 1-28, April.
    34. Meike Wollni & Bernhard Brümmer, 2009. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 13, Courant Research Centre PEG.
    35. Ben Gilbert & Bee Hong Yeo, 2014. "Technological Change and Managerial Ability: Evidence from a Malaysian Artisanal Fishery," Land Economics, University of Wisconsin Press, vol. 90(2), pages 352-371.
    36. María E. Pérez-Pons & Marta Plaza-Hernández & Ricardo S. Alonso & Javier Parra-Domínguez & Javier Prieto, 2020. "Increasing Profitability and Monitoring Environmental Performance: A Case Study in the Agri-Food Industry through an Edge-IoT Platform," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    37. Yongil Jeon & Ishak Haji Omar & K. Kuperan & Dale Squires & Indah Susilowati, 2006. "Developing country fisheries and technical efficiency: the Java Sea purse seine fishery," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1541-1552.
    38. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    39. Yuriy Gorodnichenko, 2007. "Using Firm Optimization to Evaluate and Estimate Returns to Scale," NBER Working Papers 13666, National Bureau of Economic Research, Inc.
    40. Ilemobayo, Olufunke Olufunmilayo & Rahji, Mohammed Abdul Yekeen & Oluwafemi, Zacchaeus Olaniyi & Johnson, Sina Basil, 2024. "A Time Series Analysis of Output-Oriented Production Efficiency in Nigeria Agriculture," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(01), January.
    41. Estache, Antonio & Gonzalez, Marianela & Trujillo, Lourdes, 2001. "Technical efficiency gains from port reform : the potential for yardstick competition in Mexico," Policy Research Working Paper Series 2637, The World Bank.
    42. Viktoriya Galushko & Samuel Gamtessa, 2022. "Impact of Climate Change on Productivity and Technical Efficiency in Canadian Crop Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    43. Karagiannis, Giannis & Tzouvelekas, Vangelis, 2001. "Self-Dual Stochastic Production Frontiers And Decomposition Of Output Growth: The Case Of Olive-Growing Farms In Greece," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(2), pages 1-11, October.
    44. Thomas Otter & Timothy J. Gilbride & Greg M. Allenby, 2011. "Testing Models of Strategic Behavior Characterized by Conditional Likelihoods," Marketing Science, INFORMS, vol. 30(4), pages 686-701, July.
    45. McDonald, John & Snooks, G. D., 1986. "Domesday Economy: A New Approach to Anglo-Norman History," OUP Catalogue, Oxford University Press, number 9780198285243.
    46. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    47. Sonia R Bhalotra, 1998. "Investigating Rationality in Wage-Setting," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 10, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    48. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    49. Scheiterle, L., 2018. "Soil, striga or subsidies? Determinants of maize productivity in northern Ghana," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277405, International Association of Agricultural Economists.
    50. Daniel Gordon, 2015. "The Endogeneity Problem in Applied Fisheries Econometrics: A Critical Review," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(1), pages 115-125, May.
    51. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    52. Bitzer, Jurgen & Geishecker, Ingo, 2006. "What drives trade-related R&D spillovers? Decomposing knowledge-diffusing trade flows," Economics Letters, Elsevier, vol. 93(1), pages 52-57, October.
    53. Julio Peña-Torres & Michael Basch & Sebastian Vergara, "undated". "Downward Adjustments in a Cyclical Environment: The Case of Chilean Pelagic Fisheries," ILADES-UAH Working Papers inv143, Universidad Alberto Hurtado/School of Economics and Business.
    54. Rouf, Abdur, 2015. "Conventional vs Natural Flood Control and Drainage Managements in a Tidal Coastal Zone: An Evaluation from a Productive Efficiency Perspective," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 256023, Agricultural Economics Society.
    55. Antle, John M., 1981. "Implications Of Sequential Decision Making For Specification And Estimation Of Production Models," Working Papers 225694, University of California, Davis, Department of Agricultural and Resource Economics.
    56. Osti, Davide, 2022. "Returns to scale with a Cobb-Douglas production function for four small Northern Italian firms," MPRA Paper 116351, University Library of Munich, Germany.
    57. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "A New Approach to Estimating the Production Function for Housing," American Economic Review, American Economic Association, vol. 100(3), pages 905-924, June.
    58. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    59. Swati Basu, & Saul Estrin & Jan Svejnar, 2004. "Wage Determination Under Communism and In Transition: Evidence from Central Europe," William Davidson Institute Working Papers Series 2004-717, William Davidson Institute at the University of Michigan.
    60. Boussard, Jean-Marc, 1985. "Changing Environment and Structural Heterogeneity in Agriculture," 1985 Conference, August 26-September 4, 1985, Malaga, Spain 182616, International Association of Agricultural Economists.
    61. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    62. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    63. Binlei Gong & Robin C. Sickles, 2021. "Resource allocation in multi-divisional multi-product firms," Journal of Productivity Analysis, Springer, vol. 55(2), pages 47-70, April.
    64. Hassan, Rashid M. & D'Silva, Brian & Hallam, A., 1989. "Normative Supply Response Analysis under Production Uncertainty: Irrigated Multicrop Farming Sector of Sudan," 1989 Occasional Paper Series No. 5 197677, International Association of Agricultural Economists.
    65. Just, Richard & Pope, Rulon, 1976. "On the Relationship of Input Decisions and Risk," CUDARE Working Papers 198209, University of California, Berkeley, Department of Agricultural and Resource Economics.
    66. Flory Dieck-Assad & Ernesto Peralta, 2013. "Energy and capital inputs: cornerstones of productivity growth in Mexico: 1965–2004," Empirical Economics, Springer, vol. 44(2), pages 563-590, April.
    67. Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
    68. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    69. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    70. Kox, Henk L.M. & Van Leeuwen, George & Van der Wiel, Henry, 2011. "Being numerous does not yield efficiency - Productivity and entry-exit determinants in European business services," MPRA Paper 106166, University Library of Munich, Germany, revised Sep 2011.
    71. Paris, Quirino & Caputo, Michael R., 2004. "A Nonlinear Generalized Additive Error Model of Production and Cost," Working Papers 93743, University of California, Davis, Department of Agricultural and Resource Economics.
    72. Moralles, Herick Fernando & do Nascimento Rebelatto, Daisy Aparecida, 2016. "The effects and time lags of R&D spillovers in Brazil," Technology in Society, Elsevier, vol. 47(C), pages 148-155.
    73. Luis H.B. Braido, 2005. "Evidence on the Incentive Properties of Share Contracts," Development and Comp Systems 0508013, University Library of Munich, Germany.
    74. Khor, Ling & Zeller, Manfred, 2015. "Perception of Substandard Fertilizer and Its Impact on Use Intensity," 2015 Conference, August 9-14, 2015, Milan, Italy 211843, International Association of Agricultural Economists.
    75. Niels Vestergaard & Dale Squires & Frank Jensen & Jesper L. Andersen, 2002. "Technical Efficiency of the Danish Trawl fleet: Are the Industrial Vessels Better than Others?," Working Papers 32/02, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    76. Martin Linde‐Rahr, 2005. "Differences in agricultural returns: an empirical test of efficiency in factor input allocation using Vietnamese data," Agricultural Economics, International Association of Agricultural Economists, vol. 32(1), pages 35-45, January.
    77. Sidhu, Surjit S., 1973. "Economics Of Technical Change In Wheat Production In Punjab (India)," Staff Papers 13290, University of Minnesota, Department of Applied Economics.
    78. Harkema, R., 1969. "A Class Of Tractable Prior Distributions On Structural Parameters Of Simultaneous Equation Systems," Econometric Institute Archives 272029, Erasmus University Rotterdam.
    79. Kumbhakar, Subal C., 2011. "Estimation of production technology when the objective is to maximize return to the outlay," European Journal of Operational Research, Elsevier, vol. 208(2), pages 170-176, January.
    80. Keshari, Pradeep K & Paul, Thomas M, 1994. "Relative efficiency of foreign and domestic Banks," MPRA Paper 47072, University Library of Munich, Germany.
    81. Jürgen Bitzer & Holger Görg, 2005. "The impact of FDI on industry performance," International Trade 0505003, University Library of Munich, Germany.
    82. Jurgen Bitzer & Holger Görg & Philipp J.H. Schröder, 2008. "Can Trade Really Hurt? An Empirical Follow-up on Samuelson’s Controversial Paper," Discussion Papers 08/34, University of Nottingham, GEP.
    83. Tomasz Gerard Czekaj & Arne Henningsen, 2013. "Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms," IFRO Working Paper 2013/6, University of Copenhagen, Department of Food and Resource Economics.
    84. André van Stel & Mirjam van Praag & José Maria Millán & Emilio Congregado & Concepcion Roman, 2013. "The value of an educated population for an individual's entrepreneurship success," Scales Research Reports H201103, EIM Business and Policy Research.
    85. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    86. Deininger, Klaus & Ali, Daniel Ayalew & Alemu, Tekie, 2011. "Productivity effects of land rental markets in Ethiopia : Evidence from a matched tenant-landlord sample," Policy Research Working Paper Series 5727, The World Bank.
    87. Rulon D. Pope & Jeffrey T. LaFrance & Richard E. Just, 2007. "Imperfect Price Deflation in Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 738-754.
    88. 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.
    89. Willman, Alpo, 2002. "Euro area production function and potential output: a supply side system approach," Working Paper Series 153, European Central Bank.
    90. J. Degand & L. Portugal, 1977. "Analyse régionale de la production agricole belge, les effets « région » et « temps » sur la valeur de la production agricole," Économie rurale, Programme National Persée, vol. 122(1), pages 60-67.
    91. Md Abdur Rouf, 2020. "Evaluation of Agricultural Projects by Parametric Cost Efficiency and Productivity-gap Approaches: An Empirical Study of Flood Control and Drainage Systems in the Southwest Coastal Area of Bangladesh," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 22.
    92. Zhichao Li & Tianqu Shao, 2019. "An Improved Ecological Services Valuation Model in Land Use Project," IJERPH, MDPI, vol. 16(8), pages 1-17, April.
    93. Njuki, Eric, 2022. "Sources, Trends, and Drivers of U.S. Dairy Productivity and Efficiency," USDA Miscellaneous 323860, United States Department of Agriculture.
    94. Oksana Hoshovska & Zhanna Poplavska & Natalia Kryvinska & Natalia Horbal, 2020. "Considering Random Factors in Modeling Complex Microeconomic Systems," Mathematics, MDPI, vol. 8(8), pages 1-18, July.
    95. Swati Basu & Saul Estrin & Jan Svejnar, 2000. "Employment and Wages in Enterprises Under Communism and in Transition: Evidence From Central Europe and Russia," William Davidson Institute Working Papers Series 440, William Davidson Institute at the University of Michigan.
    96. H. Alan Love & Steven T. Buccola, 1999. "Joint Risk Preference-Technology Estimation with a Primal System: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 245-247.
    97. Catherine Larochelle & Jeffrey Alwang, 2013. "The Role of Risk Mitigation in Production Efficiency: A Case Study of Potato Cultivation in the Bolivian Andes," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 363-381, June.
    98. Shamim A. Sahibzada, 2002. "Pricing Irrigation Water in Pakistan: An Evaluation of Available Options," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 41(3), pages 209-241.
    99. Vijverberg, Wim P. M., 1995. "Returns to schooling in non-farm self-employment: An econometric case study of Ghana," World Development, Elsevier, vol. 23(7), pages 1215-1227, July.
    100. Ariel Pakes & Mark Schankerman, 1980. "An Exploration into the Determinants of Research Intensity," NBER Working Papers 0438, National Bureau of Economic Research, Inc.
    101. Sickles, Robin C. & Streitwieser, Mary L., 1989. "Technical Inefficiency And Productive Decline In The U.S. Interstate Natural Gas Pipline Industry Under The Natural Gas Policy Act," Working Papers 89-20, C.V. Starr Center for Applied Economics, New York University.
    102. Oksana Hoshovska & Zhanna Poplavska & Jana Kajanova & Olena Trevoho, 2023. "Random Risk Factors Influencing Cash Flows: Modifying RADR," Mathematics, MDPI, vol. 11(2), pages 1-22, January.
    103. Andrew Daughety, 1978. "Stochastic Production and Cost Production Duality," Discussion Papers 356R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    104. Ragner Tveterås & G. H. Wan, 2000. "Flexible panel data models for risky production technologies with an application to salmon aquaculture," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 367-389.
    105. Mohamed El Arbi Chaffai, 1989. "Estimation de frontières de production et de l'inefficacité technique. Application aux entreprises tunisiennes," Économie et Prévision, Programme National Persée, vol. 91(5), pages 67-73.
    106. Onofri, Laura & Lange, Glenn Marie & Portela, Rosimeiry & Nunes, Paulo A.L.D., 2017. "Valuing ecosystem services for improved national accounting: A pilot study from Madagascar," Ecosystem Services, Elsevier, vol. 23(C), pages 116-126.
    107. Peter E. Rossi, 1984. "Stochastic Specification of Cost and Production Relationships," Discussion Papers 616, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    108. Xiu, Chen & Lis, Anna Maria, 2024. "Collaborative development model and strategies of multi-energy industry clusters: Multi-indicators analysis affecting the development of coastal energy clusters," Energy, Elsevier, vol. 295(C).
    109. B. A. Larson & H. Vroomen, 1991. "Nitrogen, Phosphorus And Land Demands At The Us Regional Level: A Primal Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(3), pages 354-364, September.
    110. Aferdita Dervishi, 2021. "The Importance of Leadership on Business Ethics at Organizations," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 7, ejes_v7_i.
    111. Jürgen Bitzer & Monika Kerekes, 2005. "Does Foreign Direct Investment Transfer Technology Across Borders? A Reexamination," Macroeconomics 0505004, University Library of Munich, Germany.
    112. K V Bhanu Murthy, 2004. "Arguing A Case For The Cobb-Douglas Production Function," Econometrics 0409012, University Library of Munich, Germany.
    113. Ilemobayo, Olufunke Olufunmilayo & Rahji, Mohammed Abdul Yekeen & Oluwafemi, Zacchaeus Olaniyi & Johnson, Sina Basil, 2024. "A Time Series Analysis of Output-Oriented Production Efficiency in Nigeria Agriculture," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(1), January.
    114. Najma Sharif & Atul Dar, 1996. "An empirical study of the patterns and sources of technical inefficiency in traditional and HYV rice cultivation in Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 32(4), pages 612-629.
    115. Francesco Barbera & Ken Moores, 2013. "Firm ownership and productivity: a study of family and non-family SMEs," Small Business Economics, Springer, vol. 40(4), pages 953-976, May.
    116. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    117. Enrico Fabrizi & Carlo Trivisano, 2016. "Bayesian Conditional Mean Estimation in Log-Normal Linear Regression Models with Finite Quadratic Expected Loss," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 1064-1077, December.
    118. Yufeng Wang & Shijun Zhang & Luyao Zhang, 2023. "The Impact of Location-Based Tax Incentives and Carbon Emission Intensity: Evidence from China’s Western Development Strategy," IJERPH, MDPI, vol. 20(3), pages 1-23, February.
    119. de Jorge Moreno, Justo, 2008. "Evaluation of technical efficiency among entrant and incumbent firms in the Spanish retailing sector: The effects of deregulation from a regional perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 15(6), pages 500-508.
    120. R. M. Hassan & A. Hallam, 1990. "Stochastic Technology In A Programming Framework: A Generalised Mean‐Variance Farm Model," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(2), pages 196-206, May.
    121. Nsiah K. Acheampong, 2013. "The Effects of Foreign Bank Entry on Financial Performance of Domestic-Owned Banks in Ghana," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(3), pages 93-104.
    122. Rami Hodrob, 2017. "The Impact of Foreign Direct Investment on Palestinian Economic Growth," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 550-557.
    123. Squires, Dale & Grafton, R. Quentin, 1998. "Where the Land Meets The Sea: Integrated Sustainable Fisheries Development and Artisanal Fishing," University of California at San Diego, Economics Working Paper Series qt93d6156d, Department of Economics, UC San Diego.
    124. Théopiste Butare, 1991. "Education et productivité dans les secteurs traditionnels : une analyse empirique," Économie et Prévision, Programme National Persée, vol. 97(1), pages 35-48.
    125. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    126. Shaik, Saleem, 2011. "Does accounting for inefficiency affect the time-varying short and long-run returns to scale?," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 11, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    127. Zhen Su & Joshua R. Aaron & William C. McDowell & Dan Dan Lu, 2019. "Sustainable Synergies between the Cultural and Tourism Industries: An Efficiency Evaluation Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    128. Kopp, Thomas & Brummer, Bernhard, 2015. "Traders and Credit Constrained Farmers: Market Power along Indonesian Rubber Value Chains," 2015 Conference, August 9-14, 2015, Milan, Italy 212012, International Association of Agricultural Economists.
    129. Udhayanan, Prateksha & Mishra, Swasti S. & Rao, Shrisha, 2021. "Firm dynamics and employee performance management in duopoly markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    130. Shankar, Bhavani & Piesse, Jenifer & Thirtle, Colin, 2003. "Energy substitutability in transition agriculture: estimates and implications for Hungary," Agricultural Economics, Blackwell, vol. 29(2), pages 181-193, October.
    131. Hassan, Rashid M. & Hallam, Arne & D'Silva, B., 1988. "Stochastic Technology in a Programming Framework: A Generalized E. V. Model," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270212, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    132. Antle, John M. & Havenner, Arthur, 1983. "Formulating And Estimating Dynamic Stochastic Production Models," Working Papers 225711, University of California, Davis, Department of Agricultural and Resource Economics.
    133. Grossman, Philip J. & Mavros, Panayiotis & Wassmer, Robert W., 1999. "Public Sector Technical Inefficiency in Large U.S. Cities," Journal of Urban Economics, Elsevier, vol. 46(2), pages 278-299, September.
    134. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    135. Erik Biørn & Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Heterogeneity in Returns to Scale: A Random Coefficient Analysis with Unbalanced Panel Data," Discussion Papers 292, Statistics Norway, Research Department.
    136. Jeffrey P. Dotson & Greg M. Allenby, 2010. "Investigating the Strategic Influence of Customer and Employee Satisfaction on Firm Financial Performance," Marketing Science, INFORMS, vol. 29(5), pages 895-908, 09-10.
    137. Park, Timothy A., 2015. "Direct Marketing and the Structure of Farm Sales: An Unconditional Quantile Regression Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-19, May.
    138. Tybout, James R., 1990. "Making noisy data sing : a micro approach to measuring industrial efficiency," Policy Research Working Paper Series 327, The World Bank.
    139. U Pascual, 2001. "Soil Degradation and Technical Efficiency in Shifting Cultivation: The Case of Yucatán (Mexico)," Economics Discussion Paper Series 0116, Economics, The University of Manchester.
    140. Selamawit G. Kebede & Almas Heshmati, 2020. "Energy Use and Labor Productivity in Ethiopia: The Case of the Manufacturing Industry," Energies, MDPI, vol. 13(11), pages 1-21, May.
    141. Richards, Timothy J. & Jeffrey, Scott R., 2000. "Efficiency And Economic Performance: An Application Of The Mimic Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-20, July.
    142. Kehinde, A.L. & Awoyemi, T.T. & Omonona, B.T. & Akande, J.A., 2010. "Technical efficiency of sawnwood production in Ondo and Osun states, Nigeria," Journal of Forest Economics, Elsevier, vol. 16(1), pages 11-18, January.
    143. Mizanur Rahman & Takrima Sayeda, 2016. "The Effect of Integration with Global Apparel Value Chain," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(2), pages 248-270, September.

  27. John W. Hooper & Arnold Zellner, 1959. "The Error of Forecast for Multivariate Regression Models," Cowles Foundation Discussion Papers 77R, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.

Articles

  1. Arnold Zellner & Jacques Kibambe Ngoie, 2015. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 56-81, February.
    See citations under working paper version above.
  2. Arnold Zellner & Tomohiro Ando & Nalan Baştük & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 3-35, June.
    See citations under working paper version above.
  3. Ngoie, Jacques Kibambe & Zellner, Arnold, 2012. "The Use Of A Marshallian Macroeconomic Model For Policy Evaluation: Case Of South Africa," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 423-448, June.
    See citations under working paper version above.
  4. Zellner, Arnold & Zilberman, David, 2011. "The economics and econometrics of risk: An introduction to the special issue," Journal of Econometrics, Elsevier, vol. 162(1), pages 1-5, May.

    Cited by:

    1. Dennis Wichelns, 2015. "Water productivity and water footprints are not helpful in determining optimal water allocations or efficient management strategies," Water International, Taylor & Francis Journals, vol. 40(7), pages 1059-1070, November.

  5. Zellner, Arnold & Ando, Tomohiro, 2010. "Rejoinder," International Journal of Forecasting, Elsevier, vol. 26(2), pages 439-442, April.

    Cited by:

    1. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.

  6. 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.

    Cited by:

    1. Arnold Zellner & Tomohiro Ando & Nalan Baştük & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 3-35, June.
    2. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
    3. F. Louzada & P. H. Ferreira, 2016. "Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2956-2976, December.
    4. Arvind Shrivastava & Kuldeep Kumar & Nitin Kumar, 2018. "Business Distress Prediction Using Bayesian Logistic Model for Indian Firms," Risks, MDPI, vol. 6(4), pages 1-15, October.
    5. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    6. Nitin Kumar & Arvind Shrivastava & D. P. Singh & Purnendu Kumar, 2018. "Determinants of Financial Stress of Indian Banks," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(2), pages 210-228, September.

  7. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.

    Cited by:

    1. Jaeho Kim & Sora Chon, 2020. "Why are Bayesian trend-cycle decompositions of US real GDP so different?," Empirical Economics, Springer, vol. 58(3), pages 1339-1354, March.
    2. Taras Bodnar & Holger Dette & Nestor Parolya & Erik Thors'en, 2019. "Sampling Distributions of Optimal Portfolio Weights and Characteristics in Low and Large Dimensions," Papers 1908.04243, arXiv.org, revised Apr 2023.
    3. Eckert, Florian & Hyndman, Rob J. & Panagiotelis, Anastasios, 2021. "Forecasting Swiss exports using Bayesian forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 693-710.
    4. Bauder, David & Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2020. "Bayesian inference of the multi-period optimal portfolio for an exponential utility," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
    5. Bresson Georges & Chaturvedi Anoop & Rahman Mohammad Arshad & Shalabh, 2021. "Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation," The International Journal of Biostatistics, De Gruyter, vol. 17(1), pages 75-97, May.
    6. Jessica A. Wachter & Missaka Warusawitharana, 2011. "What is the Chance that the Equity Premium Varies over Time? Evidence from Regressions on the Dividend-Price Ratio," NBER Working Papers 17334, National Bureau of Economic Research, Inc.
    7. Michael D. Bauer, 2015. "Restrictions on Risk Prices in Dynamic Term Structure Models," CESifo Working Paper Series 5241, CESifo.
    8. Pathairat Pastpipatkul & Petchaluck Boonyakunakorn & Kanyaphon Phetsakda, 2020. "The Impact of Thailand’s Openness on Bilateral Trade between Thailand and Japan: Copula-Based Markov Switching Seemingly Unrelated Regression Model," Economies, MDPI, vol. 8(1), pages 1-13, January.
    9. Shun Matsuura & Hiroshi Kurata, 2022. "Optimal estimator under risk matrix in a seemingly unrelated regression model and its generalized least squares expression," Statistical Papers, Springer, vol. 63(1), pages 123-141, February.
    10. Abdul Salam & Marco Grzegorczyk, 2023. "Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors," Computational Statistics, Springer, vol. 38(2), pages 779-808, June.
    11. Shun Matsuura & Hiroshi Kurata, 2020. "Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 79-99, March.
    12. Arnold Zellner & Tomohiro Ando & Nalan Baştük & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 3-35, June.
    13. Taras Bodnar & Mathias Lindholm & Vilhelm Niklasson & Erik Thors'en, 2020. "Bayesian Quantile-Based Portfolio Selection," Papers 2012.01819, arXiv.org.
    14. Mircea I. Cosbuc & Cristian Gatu & Ana Colubi & Erricos John Kontoghiorghes, 2017. "A Generalized Singular Value Decomposition Strategy for Estimating the Block Recursive Simultaneous Equations Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 503-515, October.
    15. Joshua C. C. Chan, 2022. "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, vol. 13(3), pages 1145-1169, July.
    16. Wang, Haijian & Zhou, Shaojie & Zhang, Penglong, 2024. "Clean heating and clean air: Evidence from the coal-to-gas program in China," China Economic Review, Elsevier, vol. 85(C).
    17. Wang, Hao, 2010. "Sparse seemingly unrelated regression modelling: Applications in finance and econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2866-2877, November.
    18. Elvis Cheng Xu, 2019. "Impacts of Urbanisation on Trust: Evidence from a Lab in the Field on a Natural Experiment," Artefactual Field Experiments 00676, The Field Experiments Website.
    19. Manuel González-Astudillo & John M. Roberts, 2022. "When are trend–cycle decompositions of GDP reliable?," Empirical Economics, Springer, vol. 62(5), pages 2417-2460, May.
    20. Donovan, Stuart & de Graaff, Thomas & Grimes, Arthur & de Groot, Henri L.F. & Maré, David C., 2022. "Cities with forking paths? Agglomeration economies in New Zealand 1976–2018," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    21. Leonardo Bottolo & Marco Banterle & Sylvia Richardson & Mika Ala‐Korpela & Marjo‐Riitta Järvelin & Alex Lewin, 2021. "A computationally efficient Bayesian seemingly unrelated regressions model for high‐dimensional quantitative trait loci discovery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 886-908, August.
    22. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    23. Linhan Ouyang & Yizhong Ma & Jianxiong Chen & Zhigang Zeng & Yiliu Tu, 2016. "Robust optimisation of Nd: YLF laser beam micro-drilling process using Bayesian probabilistic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6644-6659, November.
    24. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    25. Li, Bin & Liang, Yilan & Shahab, Yasir & Gull, Ammar Ali & Ashraf, Naeem, 2022. "Parent-subsidiary dispersion, cost of debt and debt default: Evidence from China," Economic Modelling, Elsevier, vol. 107(C).
    26. Chamberlain Mbah & Kris Peremans & Stefan Van Aelst & Dries F. Benoit, 2019. "Robust Bayesian seemingly unrelated regression model," Computational Statistics, Springer, vol. 34(3), pages 1135-1157, September.
    27. Wang, Min & Yang, Mingan, 2016. "Posterior property of Student-t linear regression model using objective priors," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 23-29.
    28. 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.
    29. Bert de Bruijn & Philip Hans Franses, 2012. "What drives the Quotes of Earnings Forecasters?," Tinbergen Institute Discussion Papers 12-067/4, Tinbergen Institute.
    30. Zhao, Li & Xu, Xingzhong, 2017. "Generalized canonical correlation variables improved estimation in high dimensional seemingly unrelated regression models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 119-126.

  8. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

    Cited by:

    1. Mishra, Anil V., 2016. "Foreign bias in Australian-domiciled mutual fund holdings," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 101-123.
    2. Mishra, Anil V., 2017. "Foreign bias in Australia's international equity holdings," Review of Financial Economics, Elsevier, vol. 33(C), pages 41-54.
    3. Mukherjee, Raja & Paul, Satya & Shankar, Sriram, 2018. "Equity home bias—A global perspective from the shrunk frontier," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 9-21.
    4. Yuri S. Popkov & Yuri A. Dubnov & Alexey Yu. Popkov, 2016. "New Method of Randomized Forecasting Using Entropy-Robust Estimation: Application to the World Population Prediction," Mathematics, MDPI, vol. 4(1), pages 1-16, March.
    5. Mishra, Anil, 2013. "Measures of Equity Home Bias Puzzle," MPRA Paper 51223, University Library of Munich, Germany.

  9. Barnett, William A. & Diewert, W. Erwin & Zellner, Arnold, 2009. "Introduction To Measurement With Theory," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 151-168, September.
    See citations under working paper version above.
  10. Zellner, Arnold, 2007. "Generalizing the standard product rule of probability theory and Bayes's Theorem," Journal of Econometrics, Elsevier, vol. 138(1), pages 14-23, May.

    Cited by:

    1. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.

  11. Zellner, Arnold, 2007. "Philosophy and objectives of econometrics," Journal of Econometrics, Elsevier, vol. 136(2), pages 331-339, February.

    Cited by:

    1. Benzarour, Choukri, 2014. "صياغة السياسات الاقتصادية الكلية في الجزائر: هل من حاجة إلى الاسترشاد بالنماذج الاقتصادية القياسية؟ [The formulation of macroeconomic policies in Algeria: Is it necessary to be guided by Macroecono," MPRA Paper 87071, University Library of Munich, Germany, revised 29 May 2018.
    2. Stephen G Hall & George Hondroyiannis & P.A.V.B. Swamy & George S. Tavlas, 2008. "A Portfolio Balance Approach to Euro-Area Money Demand in a Time-Varying Environment," Discussion Papers in Economics 08/9, Division of Economics, School of Business, University of Leicester.
    3. Nasir, Muhammad Ali, 2020. "Forecasting inflation under uncertainty: The forgotten dog and the frisbee," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    4. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    5. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    6. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    7. Kennedy, Peter E. & Siegfried, John J., 1997. "Class size and achievement in introductory economics: Evidence from the TUCE III data," Economics of Education Review, Elsevier, vol. 16(4), pages 385-394, October.
    8. Stephen G. Hall & George Hondroyiannis & P.A.V.B. Swamy & George S. Tavlas, 2009. "Where Has All the Money Gone? Wealth and the Demand for Money in South Africa †," Journal of African Economies, Centre for the Study of African Economies, vol. 18(1), pages 84-112, January.
    9. Poonam Singh, 2016. "Principles of Econometrics: A Modern Approach Using Eviews by Sankar Kumar Bhaumik," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 355-358, December.

  12. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.

    Cited by:

    1. Bao, Xing & Tang, Ou & Ji, Jianhua, 2008. "Applying the minimum relative entropy method for bimodal distribution in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 113(2), pages 969-979, June.
    2. Antoine, Bertille & Bonnal, Helene & Renault, Eric, 2007. "On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood," Journal of Econometrics, Elsevier, vol. 138(2), pages 461-487, June.

  13. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.

    Cited by:

    1. 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.

  14. Zellner, Arnold & Israilevich, Guillermo, 2005. "Marshallian Macroeconomic Model: A Progress Report," Macroeconomic Dynamics, Cambridge University Press, vol. 9(2), pages 220-243, April.

    Cited by:

    1. Arnold Zellner & Jacques K. Ngoie, 2012. "Modeling and policy analysis for the U.S. Science Sector," Working Papers 264, Economic Research Southern Africa.
    2. Banerjee, Sanjibani & A. Barnett, William & A. Duzhak, Evgeniya & Gopalan, Ramu, 2011. "Bifurcation analysis of Zellner's Marshallian Macroeconomic Model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1577-1585, September.
    3. Arnold Zellner & Jacques K. Ngoie, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 280, Economic Research Southern Africa.
    4. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    5. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    6. Ngoie, Jacques Kibambe, 2014. "Federal research spending and innovation in the U.S. economy," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 492-506.
    7. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.

  15. Zellner, Arnold, 2004. "To test or not to test and if so, how?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 581-586, November.

    Cited by:

    1. Thomas Mayer, 2012. "Ziliak and McCloskey's Criticisms of Significance Tests: An Assessment," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 256-297, September.
    2. Timothy R. Wojan & Jason P. Brown & Dayton M. Lambert, 2014. "What to Do about the "Cult of Statistical Significance"? A Renewable Fuel Application using the Neyman-Pearson Protocol," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(4), pages 674-695.
    3. Nektarios A. Michail & Constantinos I. Massouras, 2014. "Back to Basics: Is Statistical Significance all that Matters?," Working Papers 2014-3, Central Bank of Cyprus.
    4. Stephen T. Ziliak & Deirdre N. McCloskey, 2013. "We Agree That Statistical Significance Proves Essentially Nothing: A Rejoinder to Thomas Mayer," Econ Journal Watch, Econ Journal Watch, vol. 10(1), pages 97-107, January.
    5. Soyer, Emre & Hogarth, Robin M., 2012. "The illusion of predictability: How regression statistics mislead experts," International Journal of Forecasting, Elsevier, vol. 28(3), pages 695-711.

  16. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.

    Cited by:

    1. Alexandre Belloni & Mitchell J. Lovett & William Boulding & Richard Staelin, 2012. "Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers," Marketing Science, INFORMS, vol. 31(4), pages 621-636, July.

  17. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.

    Cited by:

    1. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
    2. Richard Carter & Arnold Zellner, 2003. "AR Versus MA Disturbance Terms," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-3.

  18. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.

    Cited by:

    1. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.

  19. Zellner, Arnold, 2002. "Information processing and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 41-50, March.

    Cited by:

    1. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    2. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    3. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    4. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
    5. Ley, Eduardo, 2006. "Statistical inference as a bargaining game," Economics Letters, Elsevier, vol. 93(1), pages 142-149, October.
    6. Wang, Zitian & Wang, Lili & Tan, Shaohua, 2008. "Emergent and spontaneous computation of factor relationships from a large factor set," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3939-3959, December.
    7. Sylvia Gottschalk, 2016. "Entropy and credit risk in highly correlated markets," Papers 1604.07042, arXiv.org.
    8. Sourish Das & Dipak K. Dey, 2013. "On Dynamic Generalized Linear Models with Applications," Methodology and Computing in Applied Probability, Springer, vol. 15(2), pages 407-421, June.
    9. Zellner, Arnold, 2004. "To test or not to test and if so, how?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 581-586, November.
    10. Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
    11. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    12. Nicolas Bousquet, 2010. "Eliciting vague but proper maximal entropy priors in Bayesian experiments," Statistical Papers, Springer, vol. 51(3), pages 613-628, September.
    13. Gottschalk, Sylvia, 2017. "Entropy measure of credit risk in highly correlated markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 11-19.
    14. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    15. Bernd Kraan & Tim Bedford, 2005. "Probabilistic Inversion of Expert Judgments in the Quantification of Model Uncertainty," Management Science, INFORMS, vol. 51(6), pages 995-1006, June.
    16. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.

  20. Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.

    Cited by:

    1. Burak Güneralp & Michael K Reilly & Karen C Seto, 2012. "Capturing Multiscalar Feedbacks in Urban Land Change: A Coupled System Dynamics Spatial Logistic Approach," Environment and Planning B, , vol. 39(5), pages 858-879, October.
    2. Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian, 2004. "Structural Change and Forecasting Long-Run Energy Prices," Staff Working Papers 04-5, Bank of Canada.
    3. Ford, Andrew, 2005. "Simulating the impacts of a strategic fuels reserve in California," Energy Policy, Elsevier, vol. 33(4), pages 483-498, March.
    4. Ford, Andrew & Vogstad, Klaus & Flynn, Hilary, 2007. "Simulating price patterns for tradable green certificates to promote electricity generation from wind," Energy Policy, Elsevier, vol. 35(1), pages 91-111, January.
    5. Prasolov, Alexander V., 2018. "On the simultaneous estimation of delay model parameters in economic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1102-1109.

  21. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.

    Cited by:

    1. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Pierre L. Siklos, 2017. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  22. Zellner, Arnold & Chen, Bin, 2001. "Bayesian Modeling Of Economies And Data Requirements," Macroeconomic Dynamics, Cambridge University Press, vol. 5(5), pages 673-700, November.

    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Arnold Zellner & Jacques K. Ngoie, 2012. "Modeling and policy analysis for the U.S. Science Sector," Working Papers 264, Economic Research Southern Africa.
    3. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    4. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    5. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    6. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    7. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    8. Patton, Andrew J. & Timmermann, Allan, 2007. "Properties of optimal forecasts under asymmetric loss and nonlinearity," Journal of Econometrics, Elsevier, vol. 140(2), pages 884-918, October.
    9. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    10. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    11. Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.
    12. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
    13. Maximilian Auffhammer & Ralf Steinhauser, 2007. "The Future Trajectory Of U.S. Co2 Emissions: The Role Of State Vs. Aggregate Information," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 47-61, February.
    14. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.
    15. Janine Aron & John Muellbauer & Coen Pretorius, 2004. "A Framework for Forecasting the Components of the Consumer Price," Development and Comp Systems 0409054, University Library of Munich, Germany.
    16. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.
    17. 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.
    18. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    19. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  23. Zellner, Arnold & Tobias, Justin, 2001. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 121-140, February.
    See citations under working paper version above.
  24. Zellner, Arnold, 2001. "Comments on papers by Engle, Geweke and Granger," Journal of Econometrics, Elsevier, vol. 100(1), pages 93-94, January.

    Cited by:

    1. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.

  25. Arnold Zellner, 2001. "Remarks on a 'critique' of the Bayesian Method of Moments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 775-778.

    Cited by:

    1. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    2. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.

  26. Arnold Zellner & Franz C. Palm, 2000. "Correction," Econometrica, Econometric Society, vol. 68(5), pages 1293-1294, September.

    Cited by:

    1. Kascha, Christian & Trenkler, Carsten, 2011. "Bootstrapping the likelihood ratio cointegration test in error correction models with unknown lag order," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1008-1017, February.
    2. Wen-Yi Chen, 2013. "Does Housing Cost Affect Birth Rates in Taiwan? The ADL Test for Threshold Co-integration," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 90-103, October.
    3. Stephan Smeekes & Jean-Pierre Urbain, 2014. "On the Applicability of the Sieve Bootstrap in Time Series Panels," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 139-151, February.
    4. Ghysels, Eric & Miller, J. Isaac, 2013. "Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series," CEPR Discussion Papers 9654, C.E.P.R. Discussion Papers.
    5. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    6. Stephan Smeekes, 2013. "Detrending Bootstrap Unit Root Tests," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 869-891, November.
    7. Smeekes, Stephan & Wijler, Etienne, 2021. "An automated approach towards sparse single-equation cointegration modelling," Journal of Econometrics, Elsevier, vol. 221(1), pages 247-276.
    8. Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
    9. Bayer, C & Hanck, C.H., 2009. "Combining non-cointegration tests," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    10. Melike E. Bildirici & Sema Yılmaz Genç & Rui Alexandre Castanho, 2022. "Environmental Pollution, Terrorism, and Mortality Rate in China, India, Russia, and Türkiye," Sustainability, MDPI, vol. 14(19), pages 1-11, October.
    11. Gengenbach, C. & Urbain, J.R.Y.J. & Westerlund, J., 2008. "Panel error correction testing with global stochastic trends," Research Memorandum 051, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. Omay, Tolga & Emirmahmutoglu, Furkan & Denaux, Zulal S., 2017. "Nonlinear error correction based cointegration test in panel data," Economics Letters, Elsevier, vol. 157(C), pages 1-4.
    13. Zacharias Psaradakis & Marián Vávra, 2015. "A Distance Test of Normality for a Wide Class of Stationary Processes," Birkbeck Working Papers in Economics and Finance 1513, Birkbeck, Department of Economics, Mathematics & Statistics.
    14. Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
    15. Karsten Reichold & Carsten Jentsch, 2022. "A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions," Papers 2204.01373, arXiv.org.
    16. Sidorenko, Alexandra, 2001. "Stochastic Model of Demand for Medical Care with Endogenous Labour Supply and Health Insurance," Departmental Working Papers 2001-08, The Australian National University, Arndt-Corden Department of Economics.

  27. Arnold Zellner, 1999. "New Information-Based Econometric Methods in Agricultural Economics: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 742-746.

    Cited by:

    1. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    2. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    3. Rosa Bernardini Papalia & Silvia Bertarelli, 2010. "Evaluating Total Factor Productivity Differences by a Mapping Structure in Growth Models," International Regional Science Review, , vol. 33(1), pages 31-59, January.

  28. Arnold Zellner & Hang Ryu, 1998. "Alternative functional forms for production, cost and returns to scale functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-127.
    See citations under working paper version above.
  29. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

    Cited by:

    1. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    2. Francis X. Diebold & Russell L. Lamb, 1996. "Why are estimates of agricultural supply response so variable?," Finance and Economics Discussion Series 96-8, Board of Governors of the Federal Reserve System (U.S.).
    3. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    4. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
    5. Matteo Manera & Giliola Frey, 2005. "Econometric Models of Asymmetric Price Transmission," Working Papers 2005.100, Fondazione Eni Enrico Mattei.
    6. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    7. Zellner, Arnold, 1999. "Discussion of Papers Presented at 1999 ASSA Meeting in New York By (1) Foster and Whiteman, (2) Golan, Moretti and Perloff, and (3) LaFrance," CUDARE Working Papers 198675, University of California, Berkeley, Department of Agricultural and Resource Economics.
    8. 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.
    9. Mittelhammer, Ron C. & Judge, George G., 2005. "Combining estimators to improve structural model estimation and inference under quadratic loss," Journal of Econometrics, Elsevier, vol. 128(1), pages 1-29, September.
    10. Chaturvedi, Anoop & Shalabh, 2004. "Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 90(2), pages 229-256, August.
    11. Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, University Library of Munich, Germany.
    12. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    13. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    14. Kim, Jae-Young, 2002. "Limited information likelihood and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 175-193, March.
    15. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    16. 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).
    17. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
    18. Gao, Chuanming & Lahiri, Kajal, 2002. "A note on the double k-class estimator in simultaneous equations," Journal of Econometrics, Elsevier, vol. 108(1), pages 101-111, May.
    19. Arnold Zellner, 2001. "Remarks on a 'critique' of the Bayesian Method of Moments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 775-778.
    20. 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.
    21. Belén Pérez-Sánchez & Martín González & Carmen Perea & Jose J. López-Espín, 2021. "A New Computational Method for Estimating Simultaneous Equations Models Using Entropy as a Parameter Criteria," Mathematics, MDPI, vol. 9(7), pages 1-9, March.
    22. 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.
    23. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    24. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    25. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.
    26. Andres Ramirez-Hassan & Manuel Correa-Giraldo, 2018. "Focused econometric estimation for noisy and small datasets: A Bayesian Minimum Expected Loss estimator approach," Papers 1809.06996, arXiv.org.

  30. Zellner, Arnold & Min, Chung-ki, 1998. "Forecasting turning points in countries' output growth rates: A response to Milton Friedman," Journal of Econometrics, Elsevier, vol. 88(2), pages 203-206, November.
    See citations under working paper version above.
  31. Zellner, Arnold, 1996. "Models, prior information, and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 75(1), pages 51-68, November.

    Cited by:

    1. A. Dionisio & R. Menezes & D. A. Mendes, 2006. "An econophysics approach to analyse uncertainty in financial markets: an application to the Portuguese stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 161-164, March.
    2. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
    3. Esteban Fernández-Vázquez, 2014. "Estimating the effect of technological factors from samples affected by collinearity: a data-weighted entropy approach," Empirical Economics, Springer, vol. 47(2), pages 717-731, September.
    4. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.
    5. Hondroyiannis, George & Swamy, P. A. V. B. & Tavlas, George S., 2000. "Is the Japanese economy in a liquidity trap?," Economics Letters, Elsevier, vol. 66(1), pages 17-23, January.
    6. Vladimir Zdorovenin & Jacques Pézier, 2011. "Does Information Content of Option Prices Add Value for Asset Allocation?," ICMA Centre Discussion Papers in Finance icma-dp2011-03, Henley Business School, University of Reading.
    7. Kim, Jae-Young, 2002. "Limited information likelihood and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 175-193, March.
    8. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    9. Nicolas Bousquet, 2010. "Eliciting vague but proper maximal entropy priors in Bayesian experiments," Statistical Papers, Springer, vol. 51(3), pages 613-628, September.
    10. Ameraoui, Abdelkader & Boukhetala, Kamal & Dupuy, Jean-François, 2016. "Bayesian estimation of the tail index of a heavy tailed distribution under random censoring," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 148-168.
    11. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    12. Ebrahimi, Nader & Maasoumi, Esfandiar & Soofi, Ehsan S., 1999. "Ordering univariate distributions by entropy and variance," Journal of Econometrics, Elsevier, vol. 90(2), pages 317-336, June.
    13. Rosa Bernardini Papalia & Silvia Bertarelli, 2010. "Evaluating Total Factor Productivity Differences by a Mapping Structure in Growth Models," International Regional Science Review, , vol. 33(1), pages 31-59, January.

  32. Min, Chung-ki & Zellner, Arnold, 1993. "Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 89-118, March.
    See citations under working paper version above.
  33. Ray C. Fair & Arnold Zellner (ary), 1992. "The Cowles Commission approach, real business cycles theories, and New- Keynesian economics," Proceedings, Federal Reserve Bank of St. Louis, pages 133-157.

    Cited by:

    1. Jochen Hartwig, 2013. "Structural Change, Aggregate Demand and Employment Dynamics in the OECD, 1970-2010," KOF Working papers 13-343, KOF Swiss Economic Institute, ETH Zurich.
    2. Ramser, Hans Jürgen, 1992. "Nicht-kompetitive Gütermärkte im makroökonomischen Modell," Discussion Papers, Series I 263, University of Konstanz, Department of Economics.
    3. Jeffrey C. Fuhrer, 1998. "An Optimising Model for Monetary Policy Analysis: Can Habit Formation Help?," RBA Research Discussion Papers rdp9812, Reserve Bank of Australia.
    4. Marco Del Negro & Frank Schorfheide, 2003. "Take your model bowling: forecasting with general equilibrium models," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q4), pages 35-50.
    5. Lars Peter Hansen & James J. Heckman, 1996. "The Empirical Foundations of Calibration," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 87-104, Winter.
    6. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    7. Maria Elena Bontempi, 2013. "The Istat MeMo-It Macroeconometric Model: comments and suggestions for possible extensions," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 47-56.
    8. Snowdon, Brian & Vane, Howard R., 1996. "The development of modern macroeconomics: Reflections in the light of Johnson's analysis after twenty-five years," Journal of Macroeconomics, Elsevier, vol. 18(3), pages 381-401.

  34. Zellner, Arnold & Hong, Chansik & Min, Chung-ki, 1991. "Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 275-304.

    Cited by:

    1. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    2. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    3. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    4. David Bessler & Robert Ruffley, 2004. "Prequential analysis of stock market returns," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 399-412.
    5. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    6. Kenneth W Clements & Grace Gao, 2013. "A Multi-Market Approach to Measuring the Cycle," Economics Discussion / Working Papers 13-16, The University of Western Australia, Department of Economics.
    7. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
    8. Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
    10. A.S.M. Arroyo & A. de Juan Fern¨¢ndez, 2014. "Split-then-Combine Method for out-of-sample Combinations of Forecasts," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 3(1), pages 19-37, April.
    11. Victor Zarnowitz, 1999. "Theory and History Behind Business Cycles: Are the 1990s the Onset of a Golden Age?," NBER Working Papers 7010, National Bureau of Economic Research, Inc.
    12. 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.
    13. Angeliki ANAGNOSTOU & Stephanos PAPADAMOU, 2014. "The Impact Of Monetary Shocks On Regional Output: Evidence From Four South Eurozone Countries," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 105-130.
    14. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    15. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    16. Kazimi, C. & Brownstone, D., 1994. "Bootstrap Confidence Bands for Shrinkage Estimators," Papers 94-95-5, California Irvine - School of Social Sciences.
    17. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    18. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    19. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    20. Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.
    21. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    22. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    23. Dovern, Jonas & Huber, Florian, 2015. "Global prediction of recessions," Economics Letters, Elsevier, vol. 133(C), pages 81-84.
    24. Hong, Yongmiao & Li, Haitao & Zhao, Feng, 2007. "Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates," Journal of Econometrics, Elsevier, vol. 141(2), pages 736-776, December.
    25. George Athanasopoulos & Heather M. Anderson & Farshid Vahid, 2007. "Nonlinear autoregressive leading indicator models of output in G-7 countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 63-87.
    26. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    27. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    28. Nada Kulendran & Kevin K.F. Wong, 2009. "Predicting Quarterly Hong Kong Tourism Demand Growth Rates, Directional Changes and Turning Points with Composite Leading Indicators," Tourism Economics, , vol. 15(2), pages 307-322, June.
    29. Zellner, Arnold & Min, Chung-ki, 1998. "Forecasting turning points in countries' output growth rates: A response to Milton Friedman," Journal of Econometrics, Elsevier, vol. 88(2), pages 203-206, November.
    30. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    31. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    32. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.
    33. David Bock & Eva Andersson & Marianne Frisén, 2005. "Statistical surveillance of cyclical processes with application to turns in business cycles," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 465-490.
    34. Dharmasena, Senarath & Bessler, David & Capps, Oral. Jr, 2016. "On the Evaluation of Probability Forecasts: An Application to Qualitative Choice Models," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235424, Agricultural and Applied Economics Association.
    35. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
    36. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    37. Grillenzoni, Carlo, 1996. "Testing for causality in real time," Journal of Econometrics, Elsevier, vol. 73(2), pages 355-376, August.
    38. Estela Bee Dagum & Alessandra Luati, 2009. "A Cascade Linear Filter to Reduce Revisions and False Turning Points for Real Time Trend-Cycle Estimation," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 40-59.
    39. Kirill Shakhnov, 2015. "Belarusian Business Cycle in Cross-country Comparison: Industry and Aggregate Data," BEROC Working Paper Series 30, Belarusian Economic Research and Outreach Center (BEROC).
    40. Gustavo A. Marrero, 2007. "Traditional versus unobserved components methods to forecast quarterly national account aggregates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 129-153.
    41. Wan, Shui Ki & Song, Haiyan, 2018. "Forecasting turning points in tourism growth," Annals of Tourism Research, Elsevier, vol. 72(C), pages 156-167.
    42. W A Razzak, 2001. "Money in the era of inflation targeting," Reserve Bank of New Zealand Discussion Paper Series DP2001/02, Reserve Bank of New Zealand.
    43. Ageliki Anagnostou & Piotr Krajewski & Katarzyna Pilat, 2020. "Regional Specific Idiosyncrasies and Fiscal Policy: Evidence from 47 Regions of the Central and Eastern European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 936-954.

  35. Arnold Zellner, 1990. "Some Properties of the Durations of Economic Expansions and Contractions," The American Economist, Sage Publications, vol. 34(2), pages 20-27, October.

    Cited by:

    1. Castro, Vítor, 2010. "The duration of economic expansions and recessions: More than duration dependence," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 347-365, March.
    2. Agnello, Luca & Castro, Vitor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2017. "Spillovers from the oil sector to the housing market cycle," Energy Economics, Elsevier, vol. 61(C), pages 209-220.

  36. Zellner, Arnold, 1990. "Guy H. Orcutt : Contributions to economic statistics," Journal of Economic Behavior & Organization, Elsevier, vol. 14(1), pages 43-51, September.

    Cited by:

    1. Kohei Enami & John Mullahy, 2009. "Tobit at fifty: a brief history of Tobin's remarkable estimator, of related empirical methods, and of limited dependent variable econometrics in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 619-628, June.

  37. Zellner, Arnold & Hong, Chansik, 1989. "Forecasting international growth rates using Bayesian shrinkage and other procedures," Journal of Econometrics, Elsevier, vol. 40(1), pages 183-202, January.
    See citations under working paper version above.
  38. Zellner, Arnold, 1988. "Bayesian analysis in econometrics," Journal of Econometrics, Elsevier, vol. 37(1), pages 27-50, January.

    Cited by:

    1. Menzies Gordon Douglas & Zizzo Daniel John, 2009. "Inferential Expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-27, December.
    2. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    3. 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.
    4. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    5. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    6. Pholo Bala, Alain, 2009. "Urban concentration and economic growth: checking for specific regional effects," LIDAM Discussion Papers CORE 2009038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
    9. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Steel, M.F.J., 1989. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Discussion Paper 1989-8, Tilburg University, Center for Economic Research.
    11. Griffiths, William E., 1988. "Bayesian Econometrics and How to Get Rid of Those Wrong Signs," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(01), pages 145-145, April.
    12. Ni, Shawn & Ratti, Ronald A., 2009. "Heterogeneous Parameter Uncertainty and the Timing of Investment during Crisis," Economics Discussion Papers 2009-12, Kiel Institute for the World Economy (IfW Kiel).
    13. Sanjay Chaudhuri & Malay Ghosh, 2011. "Empirical likelihood for small area estimation," Biometrika, Biometrika Trust, vol. 98(2), pages 473-480.
    14. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    15. Kwan, Yum K., 1998. "Asymptotic Bayesian analysis based on a limited information estimator," Journal of Econometrics, Elsevier, vol. 88(1), pages 99-121, November.
    16. 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.
    17. 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.
    18. 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.
    19. Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, University Library of Munich, Germany.
    20. Arnold Zellner & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2011. "Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo," Tinbergen Institute Discussion Papers 11-137/4, Tinbergen Institute.
    21. Marek Jarocinski & Albert Marcet, 2011. "Autoregressions in Small Samples, Priors about Observables and Initial Conditions," CEP Discussion Papers dp1061, Centre for Economic Performance, LSE.
    22. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    23. 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.
    24. Meher Manzur & Wing-Keung Wong & Inn-Chau Chee, 1999. "Measuring international competitiveness: experience from East Asia," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1383-1391.
    25. Elisa Keller, 2007. "Classical and Bayesian Methods for the VAR Analysis: International Comparisons," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 149-202, November-.
    26. 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.
    27. M. Tolga Akçura & Füsun F. Gönül & Elina Petrova, 2004. "Consumer Learning and Brand Valuation: An Application on Over-the-Counter Drugs," Marketing Science, INFORMS, vol. 23(1), pages 156-169, April.
    28. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    29. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.
    30. Keuzenkamp, Hugo A. & Magnus, Jan R., 1995. "On tests and significance in econometrics," Journal of Econometrics, Elsevier, vol. 67(1), pages 5-24, May.
    31. Kleibergen, F.R. & van Dijk, H.K., 1997. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Econometric Institute Research Papers EI 9714/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    32. Bauwens, L. & Dijk, H. K., 1989. "Bayesian Limited Information Analysis Revisited," Econometric Institute Archives 272386, Erasmus University Rotterdam.
    33. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    34. Nicolas Bousquet, 2010. "Eliciting vague but proper maximal entropy priors in Bayesian experiments," Statistical Papers, Springer, vol. 51(3), pages 613-628, September.
    35. Kien C. Tran & Mike G. Tsionas, 2022. "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 489-506, September.
    36. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Haiyan Song, 1995. "A time-varying parameter consumption model for the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 339-342.
    38. Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017. "Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank," Tinbergen Institute Discussion Papers 17-058/III, Tinbergen Institute.
    39. Nascimento, Marcus Gerardus Lavagnole & Abanto-Valle, Carlos Antonio & Mendonça, Mario Jorge, 2019. "Multivariate Spatial IV Regression," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
    40. 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.
    41. Arnold Zellner, 2001. "Remarks on a 'critique' of the Bayesian Method of Moments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 775-778.
    42. Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
    43. Kousik Maiti & Suchandan Kayal, 2019. "Estimation for the generalized Fréchet distribution under progressive censoring scheme," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1276-1301, October.
    44. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
    45. Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
    46. G. Datta & M. Ghosh & R. Steorts & J. Maples, 2011. "Bayesian benchmarking with applications to small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 574-588, November.
    47. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    48. 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.
    49. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    50. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    51. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.
    52. Esfandiar Maasoumi, 1988. "5 On Econometric Methodology," The Economic Record, The Economic Society of Australia, vol. 64(4), pages 340-343, December.
    53. Melvin Novick, 1980. "Statistics as psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 411-424, December.

  39. Zellner, Arnold & Highfield, Richard A., 1988. "Calculation of maximum entropy distributions and approximation of marginalposterior distributions," Journal of Econometrics, Elsevier, vol. 37(2), pages 195-209, February.

    Cited by:

    1. Ryu, Hang K. & Slottje, Daniel J., 1996. "Two flexible functional form approaches for approximating the Lorenz curve," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 251-274.
    2. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    3. McAleer, M.J. & Ryu, H.K. & Slottje, D.J., 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Econometric Institute Research Papers EI2017-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Bajgiran, Amirsaman H. & Mardikoraem, Mahsa & Soofi, Ehsan S., 2021. "Maximum entropy distributions with quantile information," European Journal of Operational Research, Elsevier, vol. 290(1), pages 196-209.
    5. Rockinger, M. & Jondeau, E., 2001. "Entropy Densities: with an Application to Autoregressive Conditional Skewness and Kurtosis," Working papers 79, Banque de France.
    6. Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Working Paper series 24-07, Rimini Centre for Economic Analysis.
    7. Urzúa, Carlos M., 1996. "Omnibus Tests for Multivariate Normality of Observations and Residuals," EGAP Working Papers 200304, Tecnológico de Monterrey, Campus Ciudad de México.
    8. Vilsmeier, Johannes, 2011. "Updating the Option Implied Probability of Default Methodology," University of Regensburg Working Papers in Business, Economics and Management Information Systems 462, University of Regensburg, Department of Economics.
    9. Thanasis Stengos & Yiguo Sun, 2005. "The Absolute Health Income Hypothesis Revisited : A Semiparametric Quantile Regression Approach," University of Cyprus Working Papers in Economics 7-2005, University of Cyprus Department of Economics.
    10. Ryu, Hang K. & Slottje, Daniel J., 2000. "Estimating the density of unemployment duration based on contaminated samples or small samples," Journal of Econometrics, Elsevier, vol. 95(1), pages 131-156, March.
    11. Dukkipati, Ambedkar & Bhatnagar, Shalabh & Murty, M. Narasimha, 2007. "On measure-theoretic aspects of nonextensive entropy functionals and corresponding maximum entropy prescriptions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 758-774.
    12. Stephen Satchell & Susan Thorp & Oliver Williams, 2012. "Estimating Consumption Plans for Recursive Utility by Maximum Entropy Methods," Research Paper Series 300, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. 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.
    14. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vd036zx, Department of Agricultural & Resource Economics, UC Berkeley.
    15. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Institute for Research on Labor and Employment, Working Paper Series qt9vd036zx, Institute of Industrial Relations, UC Berkeley.
    16. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
    17. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
    18. D. Ormoneit & H. White, 1999. "An efficient algorithm to compute maximum entropy densities," Econometric Reviews, Taylor & Francis Journals, vol. 18(2), pages 127-140.
    19. Alberto HOLLY & Alain MONFORT & Michael ROCKINGER, 2009. "Fourth Order Pseudo Maximum Likelihood Methods," Swiss Finance Institute Research Paper Series 09-23, Swiss Finance Institute.
    20. Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.
    21. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org, revised Jul 2018.
    22. Yen Lee & David Kaplan, 2018. "Generating Multivariate Ordinal Data via Entropy Principles," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 156-181, March.
    23. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Institute for Research on Labor and Employment, Working Paper Series qt6bm6n30x, Institute of Industrial Relations, UC Berkeley.
    24. Farzad Alavi Fard & Firmin Doko Tchatoka & Sivagowry Sriananthakumar, 2015. "Maximum Entropy Evaluation of Asymptotic Hedging Error under a Generalised Jump-Diffusion Model," School of Economics and Public Policy Working Papers 2015-17, University of Adelaide, School of Economics and Public Policy.
    25. Wu, Ximing, 2010. "Exponential Series Estimator of multivariate densities," Journal of Econometrics, Elsevier, vol. 156(2), pages 354-366, June.
    26. Stutzer, Michael, 1995. "A Bayesian approach to diagnosis of asset pricing models," Journal of Econometrics, Elsevier, vol. 68(2), pages 367-397, August.
    27. Yichen Gao & Yu Zhang & Ximing Wu, 2015. "Penalized exponential series estimation of copula densities with an application to intergenerational dependence of body mass index," Empirical Economics, Springer, vol. 48(1), pages 61-81, February.
    28. Bera, Anil K. & Bilias, Yannis, 2002. "The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 51-86, March.
    29. Kim, Jae-Young, 2002. "Limited information likelihood and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 175-193, March.
    30. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    31. Muhammad Shoaib & Imran Siddiqui & Shafiqur Rehman & Saif Ur Rehman & Shamim Khan & Aref Lashin, 2016. "Comparison of Wind Energy Generation Using the Maximum Entropy Principle and the Weibull Distribution Function," Energies, MDPI, vol. 9(10), pages 1-18, October.
    32. Johannes Vilsmeier, 2011. "Updating the Option Implied Probability of Default Methodology," Working Papers 107, Bavarian Graduate Program in Economics (BGPE).
    33. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    34. El-Wakil, S.A. & Abulwafa, E.M. & Abdou, M.A. & Elhanbaly, A., 2002. "Maximum-entropy approach with higher moments for solving Fokker–Planck equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 315(3), pages 480-492.
    35. Anna Kalinina & Matteo Spada & David F. Vetsch & Stefano Marelli & Calvin Whealton & Peter Burgherr & Bruno Sudret, 2020. "Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks," Energies, MDPI, vol. 13(14), pages 1-25, July.
    36. Miller, Douglas J. & Liu, Wei-han, 2002. "On the recovery of joint distributions from limited information," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 259-274, March.
    37. 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.
    38. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.
    39. Alwan, Layth C. & Ebrahimi, Nader & Soofi, Ehsan S., 1998. "Information theoretic framework for process control," European Journal of Operational Research, Elsevier, vol. 111(3), pages 526-542, December.
    40. Ryu, Hang K. & Slottje, Daniel J., 2017. "Maximum entropy estimation of income distributions from Basmann’s weighted geometric mean measure," Journal of Econometrics, Elsevier, vol. 199(2), pages 221-231.
    41. Park, Sung Y. & Bera, Anil K., 2009. "Maximum entropy autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 150(2), pages 219-230, June.
    42. Chu, Ba, 2011. "Recovering copulas from limited information and an application to asset allocation," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1824-1842, July.
    43. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    44. Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7jf5w1ht, Department of Agricultural & Resource Economics, UC Berkeley.
    45. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.
    46. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    47. Vilsmeier, Johannes, 2014. "Updating the option implied probability of default methodology," Discussion Papers 43/2014, Deutsche Bundesbank.
    48. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  40. Zellner, Arnold, 1988. "Causality and causal laws in economics," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 7-21.
    See citations under working paper version above.
  41. Zellner, Arnold & Bauwens, Luc & Van Dijk, Herman K., 1988. "Bayesian specification analysis and estimation of simultaneous equation models using Monte Carlo methods," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 39-72.
    See citations under working paper version above.
  42. Zellner, Arnold, 1986. "A tale of forecasting 1001 series : The Bayesian knight strikes again," International Journal of Forecasting, Elsevier, vol. 2(4), pages 491-494.

    Cited by:

    1. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    2. Guangling 'Dave' Liu & Rangan Gupta & Eric Schaling, 2009. "A New-Keynesian DSGE model for forecasting the South African economy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 387-404.
    3. Everette S. Gardner, 1999. "Note: Rule-Based Forecasting vs. Damped-Trend Exponential Smoothing," Management Science, INFORMS, vol. 45(8), pages 1169-1176, August.
    4. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
    5. Victor Richmond R. Jose, 2017. "Percentage and Relative Error Measures in Forecast Evaluation," Operations Research, INFORMS, vol. 65(1), pages 200-211, February.
    6. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 15-21, Eastern Mediterranean University, Department of Economics.
    7. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    8. Victor Richmond R. Jose, 2017. "Percentage and Relative Error Measures in Forecast Evaluation," Operations Research, INFORMS, vol. 65(1), pages 200-211, February.
    9. Nonso Obikili, 2018. "Unfulfilled expectations and the emergence of the EFF," Working Papers 149, Economic Research Southern Africa.
    10. JS Armstrong & Robert Fildes, 2004. "Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods," General Economics and Teaching 0412002, University Library of Munich, Germany.
    11. Gupta, Rangan & Steinbach, Rudi, 2013. "A DSGE-VAR model for forecasting key South African macroeconomic variables," Economic Modelling, Elsevier, vol. 33(C), pages 19-33.
    12. Davydenko, Andrey & Fildes, Robert, 2013. "Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts," International Journal of Forecasting, Elsevier, vol. 29(3), pages 510-522.
    13. Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
    14. Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.

  43. Zellner, Arnold, 1986. "Biased predictors, rationality and the evaluation of forecasts," Economics Letters, Elsevier, vol. 21(1), pages 45-48.

    Cited by:

    1. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    2. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    3. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    4. Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
    5. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    6. Marco Ottaviani & Peter Norman Sorensen, 2001. "The Strategy of Professional Forecasting," Discussion Papers 01-09, University of Copenhagen. Department of Economics.
    7. Phuong Nguyen-Hoang, 2012. "Fiscal effects of budget referendums: evidence from New York school districts," Public Choice, Springer, vol. 150(1), pages 77-95, January.
    8. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992) [The "rational expectations hypothesis": theory and reality (a guided tour ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    9. David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
    10. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
    11. Mr. Martin Mühleisen & Ms. Kornelia Krajnyak & Mr. Stephan Danninger & Mr. David Hauner & Mr. Bennett W Sutton, 2005. "How Do Canadian Budget Forecasts Compare with Those of Other Industrial Countries?," IMF Working Papers 2005/066, International Monetary Fund.
    12. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    13. Mr. Stephan Danninger, 2005. "Revenue Forecasts as Performance Targets," IMF Working Papers 2005/014, International Monetary Fund.
    14. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, University of Reading.
    15. Carmona, Carlos Capistran, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," University of California at San Diego, Economics Working Paper Series qt6v28v0b6, Department of Economics, UC San Diego.
    16. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.
    17. Stanislav Klazar, 2006. "Tax Revenue Prediction under Condition of Imperfect Control over Tax-Collecting Authority [Predikce daňových příjmů v podmínkách nedokonalé kontroly daňových úřadů]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2006(3), pages 48-62.
    18. Komunjer, Ivana & OWYANG, MICHAEL, 2007. "Multivariate Forecast Evaluation And Rationality Testing," University of California at San Diego, Economics Working Paper Series qt81w8m5sf, Department of Economics, UC San Diego.
    19. Capistrán Carlos, 2007. "Optimality Tests for Multi-Horizon Forecasts," Working Papers 2007-14, Banco de México.
    20. Marinovic, Iván & Ottaviani, Marco & Sorensen, Peter, 2013. "Forecasters’ Objectives and Strategies," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 690-720, Elsevier.
    21. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    22. Timmermann Allan & Capistrán Carlos, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
    23. Mr. Stephan Danninger & Ms. Annette J Kyobe & Mr. M. Cangiano, 2005. "The Political Economy of Revenue-Forecasting Experience From Low-Income Countries," IMF Working Papers 2005/002, International Monetary Fund.
    24. Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
    25. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.
    26. Masahiro Ashiya, 2006. "Are 16-month-ahead forecasts useful? A directional analysis of Japanese GDP forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 201-207.
    27. Carl Bonham & Richard Cohen & Shigeyuki Abe, 2006. "The Rationality and Heterogeneity of Survey Forecasts of the Yen-Dollar Exchange Rate: A Reexamination," Working Papers 200611, University of Hawaii at Manoa, Department of Economics.
    28. Peter, Eckley, 2015. "(Non)rationality of consumer inflation perceptions," MPRA Paper 77082, University Library of Munich, Germany.
    29. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Papers 72, National Institute of Economic Research.

  44. Peter E. Rossi & Arnold Zellner, 1986. "Evaluating the methodology of social experiments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 30, pages 131-166.

    Cited by:

    1. Glen G. Cain, 1986. "The issues of marital stability and family composition and the income maintenance experiments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 30, pages 60-105.
    2. Rodríguez, Daniel A. & Levine, Jonathan & Agrawal, Asha Weinstein & Song, Jumin, 2011. "Can information promote transportation-friendly location decisions? A simulation experiment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 304-312.
    3. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.

  45. Abowd, John M & Zellner, Arnold, 1985. "Estimating Gross Labor-Force Flows," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 254-283, June.

    Cited by:

    1. Elsby, Michael W.L. & Hobijn, Bart & Şahin, Ayşegül, 2015. "On the importance of the participation margin for labor market fluctuations," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 64-82.
    2. Jung, Philip & Kuhn, Moritz, 2012. "Earnings Losses and Labor Mobility over the Lifecycle," IZA Discussion Papers 6835, Institute of Labor Economics (IZA).
    3. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 9286, Banco de la Republica.
    4. Vasileios Gkionakis, 2004. "Short Job Tenures and Firing Taxes in the Search Theory of Unemployment," CEP Discussion Papers dp0628, Centre for Economic Performance, LSE.
    5. Kluve, Jochen & Schaffner, Sandra & Schmidt, Christoph M., 2009. "Labor Force Status Dynamics in the German Labor Market - Individual Heterogeneity and Cyclical Sensitivity," Ruhr Economic Papers 139, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Pries, Michael & Rogerson, Richard, 2009. "Search frictions and labor market participation," European Economic Review, Elsevier, vol. 53(5), pages 568-587, July.
    7. Ponomareva, Natalia & Sheen, Jeffrey, 2013. "Australian labor market dynamics across the ages," Economic Modelling, Elsevier, vol. 35(C), pages 453-463.
    8. Kudlyak, Marianna & Lange, Fabian, 2014. "Measuring Heterogeneity in Job Finding Rates Among the Nonemployed Using Labor Force Status Histories," IZA Discussion Papers 8663, Institute of Labor Economics (IZA).
    9. Isabel Cairó & Shigeru Fujita & Camilo Morales-Jimenez, 2020. "The Cyclicality of Labor Force Participation Flows: The Role of Labor Supply Elasticities and Wage Rigidity," Working Papers 20-23, Federal Reserve Bank of Philadelphia.
    10. Azmat, Ghazala & Guell, Maia & Manning, Alan, 2004. "Gender gaps in unemployment rates in OECD countries," LSE Research Online Documents on Economics 19995, London School of Economics and Political Science, LSE Library.
    11. Hyslop, Dean R. & Townsend, Wilbur, 2017. "Employment misclassification in survey and administrative reports," Economics Letters, Elsevier, vol. 155(C), pages 19-23.
    12. Peter Hans Matthews, 2005. "Labor Discipline, Reputation and Underemployment Traps," Middlebury College Working Paper Series 0501, Middlebury College, Department of Economics.
    13. Helge Braun & Reinout De Bock & Riccardo DiCecio, 2006. "Aggregate shocks and labor market fluctuations," Working Papers 2006-004, Federal Reserve Bank of St. Louis.
    14. Christopher L. Foote & Richard W. Ryan, 2014. "Labor market polarization over the business cycle," Working Papers 14-16, Federal Reserve Bank of Boston.
    15. Liu, Ding & Millimet, Daniel L., 2020. "Bounding the Joint Distribution of Disability and Employment with Contaminated Data," IZA Discussion Papers 13020, Institute of Labor Economics (IZA).
    16. Shigeru Fujita, 2004. "Vacancy persistence," Working Papers 04-23, Federal Reserve Bank of Philadelphia.
    17. Alexandre Ounnas, 2020. "Worker Flows, Occupations and the Dynamics of Unemployment and Labor Force Participation," LIDAM Discussion Papers IRES 2020009, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    18. Jennifer C. Smith, 2011. "The Ins and Outs of UK Unemployment," Economic Journal, Royal Economic Society, vol. 121(552), pages 402-444, May.
    19. Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.
    20. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    21. Bachmann, Ronald & Schaffner, Sandra, 2009. "Biases in the measurement of labour market dynamics," Technical Reports 2009,12, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    22. Hie Joo Ahn & Bart Hobijn & Ayşegül Şahin, 2023. "The Dual U.S. Labor Market Uncovered," Working Paper Series WP 2023-18, Federal Reserve Bank of Chicago.
    23. Donald R. Williams, 1991. "A dynamic analysis of recent changes in the rate of part-time employment," Working Papers (Old Series) 9120, Federal Reserve Bank of Cleveland.
    24. Dixon, R. & Lim, G.C. & van Ours, J.C., 2014. "The Effect of Shocks to Labour Market Flows on Unemployment and Participation Rates," Discussion Paper 2014-033, Tilburg University, Center for Economic Research.
    25. Daniel Borowczyk-Martins & Étienne Lalé, 2018. "The Ins and Outs of Involuntary Part-time Employment," CIRANO Working Papers 2018s-39, CIRANO.
    26. Shuaizhang Feng & Jiandong Sun, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," Working Papers 2020-029, Human Capital and Economic Opportunity Working Group.
    27. Paul Sullivan, 2009. "Estimation of an Occupational Choice Model when Occupations are Misclassified," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    28. Stefania Albanesi & Ayşegül Şahin, 2013. "The gender unemployment gap," Staff Reports 613, Federal Reserve Bank of New York.
    29. Sekyu Choi & Alexandre Janiak & Benjamín Villena-Roldán, 2012. "Unemployment, Participation and Worker Flows Over the Life-Cycle," Working Papers 617, Barcelona School of Economics.
    30. Yashiv, Eran, 2007. "Labor Search and Matching in Macroeconomics," IZA Discussion Papers 2743, Institute of Labor Economics (IZA).
    31. Wang, C. & Williamson, S., 1995. "Unemployment Insurance with Moral Hazard in a Dynamic Economy," GSIA Working Papers 1995-13, Carnegie Mellon University, Tepper School of Business.
    32. Hoffmann, Eran B. & Malacrino, Davide, 2019. "Employment time and the cyclicality of earnings growth," Journal of Public Economics, Elsevier, vol. 169(C), pages 160-171.
    33. Moscarini, Giuseppe & Vella, Francis, 2008. "Occupational Mobility and the Business Cycle," IZA Discussion Papers 3369, Institute of Labor Economics (IZA).
    34. Cuciniello, Vincenzo & di Iasio, Nicola, 2021. "Determinants of the credit cycle: a flow analysis of the extensive margin," ESRB Working Paper Series 125, European Systemic Risk Board.
    35. Steve J. Davis & John Haltiwanger, 1990. "Gross Job Creation, Gross Job Destruction and Employment Reallocation," Working Papers 90-4, Center for Economic Studies, U.S. Census Bureau.
    36. Andreas Mueller, 2014. "Separations, Sorting and Cyclical Unemployment," 2014 Meeting Papers 404, Society for Economic Dynamics.
    37. Farber, Henry S & Rothstein, Jesse & Valletta, Robert G, 2015. "The Effect of Extended Unemployment Insurance Benefits: Evidence from the 2012-2013 Phase-Out," Department of Economics, Working Paper Series qt29h8w8sg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    38. Roger E. A. Farmer, 2005. "Shooting the Auctioneer," 2005 Meeting Papers 26, Society for Economic Dynamics.
    39. Hie Joo Ahn & James D. Hamilton, 2016. "Heterogeneity and Unemployment Dynamics," NBER Working Papers 22451, National Bureau of Economic Research, Inc.
    40. Per Krusell & Toshihiko Mukoyama & Richard Rogerson & Aysegul Sahin, 2020. "Gross Worker Flows and Fluctuations in the Aggregate Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 205-226, August.
    41. Moon, Weh-Sol, 2011. "Endogenous labor force participation and firing costs," Labour Economics, Elsevier, vol. 18(5), pages 607-623, October.
    42. Feng, Shuaizhang & Hu, Yingyao, 2010. "Misclassification Errors and the Underestimation of U.S. Unemployment Rates," IZA Discussion Papers 5057, Institute of Labor Economics (IZA).
    43. Kenneth Beauchemin & Murat Tasci, 2005. "On the Cyclicality of Labor Market Mismatch and Aggregate Employment Flows," Discussion Papers 05-01, University at Albany, SUNY, Department of Economics.
    44. John M. Abowd & Lars Vilhuber, 2010. "National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail," Working Papers 10-11, Center for Economic Studies, U.S. Census Bureau.
    45. Fernando Martins & Domingos Seward, 2019. "Into the heterogeneities in the Portuguese labour market: an empirical assessment," Working Papers REM 2019/76, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    46. Garibaldi, Pietro & Wasmer, Etienne, 2003. "Equilibrium Search Unemployment, Endogenous Participation and Labour Market Flows," CEPR Discussion Papers 3986, C.E.P.R. Discussion Papers.
    47. Robert E. Hall & Sam Schulhofer-Wohl, 2015. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Jobseekers," Working Papers 721, Federal Reserve Bank of Minneapolis.
    48. Reichling, Felix, 2006. "Optimal Unemployment Insurance in Labor Market Equilibrium when Workers can Self-Insure," MPRA Paper 5362, University Library of Munich, Germany, revised 16 Oct 2007.
    49. Carrillo-Tudela, Carlos & Visschers, Ludo, 2020. "Unemployment and Endogenous Reallocation over the Business Cycle," IZA Discussion Papers 13307, Institute of Labor Economics (IZA).
    50. Lars Vilhuber, 2004. "Adjusting imperfect data: overview and case studies," Longitudinal Employer-Household Dynamics Technical Papers 2004-05, Center for Economic Studies, U.S. Census Bureau.
    51. Haefke, Christian & Sonntag, Marcus & van Rens, Thijs, 2008. "Wage Rigidity and Job Creation," IZA Discussion Papers 3714, Institute of Labor Economics (IZA).
    52. Das, Tirthatanmoy & Polachek, Solomon, 2017. "Estimating Labor Force Joiners and Leavers Using a Heterogeneity Augmented Two-Tier Stochastic Frontier," IZA Discussion Papers 10534, Institute of Labor Economics (IZA).
    53. Blanchard, Olivier Jean, 1989. "Les courbes de Beveridge et de Phillips comme outils d’analyse du chômage," L'Actualité Economique, Société Canadienne de Science Economique, vol. 65(3), pages 396-422, septembre.
    54. Kevin Donovan & Will Jianyu Lu & Todd Schoellman, 2023. "Labor Market Dynamics and Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(4), pages 2287-2325.
    55. Contini, Bruno & Garcia Perez, J. Ignacio & Pusch, Toralf & Quaranta, Roberto, 2017. "New Approaches to the Study of Long-Term Non-Employment Duration in Italy, Germany and Spain," IZA Discussion Papers 11167, Institute of Labor Economics (IZA).
    56. Steven J. Davis & John Haltiwanger, 1998. "Measuring Gross Worker and Job Flows," NBER Chapters, in: Labor Statistics Measurement Issues, pages 77-122, National Bureau of Economic Research, Inc.
    57. Robert Shimer, 2003. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies: Evidence and Theory," NBER Working Papers 9536, National Bureau of Economic Research, Inc.
    58. Karen Mumford & Peter N. Smith, 2000. "Men, Women and the Hiring Function," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 374-385, December.
    59. Robert G. Valletta, 2014. "Recent Extensions of U.S. Unemployment Benefits: Search Responses in Alternative Labor Market States," Working Paper Series 2014-13, Federal Reserve Bank of San Francisco.
    60. Isabel Cairo & Shigeru Fujita & Camilo Morales-Jimenez, 2021. "Online Appendix to "The Cyclicality of Labor Force Participation Flows: The Role of Labor"," Online Appendices 20-507, Review of Economic Dynamics.
    61. Hie Joo Ahn & James D. Hamilton, 2019. "Measuring Labor-Force Participation and the Incidence and Duration of Unemployment," Finance and Economics Discussion Series 2019-035, Board of Governors of the Federal Reserve System (U.S.).
    62. Yashiv, Eran, 2007. "U.S. Labour Market Dynamics Revisited," CEPR Discussion Papers 6481, C.E.P.R. Discussion Papers.
    63. Krusell, Per & Mukoyama, Toshihiko & Rogerson, Richard & Sahin, Aysegul, 2015. "Gross worker flows over the business cycle," LSE Research Online Documents on Economics 86279, London School of Economics and Political Science, LSE Library.
    64. Poeschel, Friedrich, 2012. "The time trend in the matching function," IAB-Discussion Paper 201203, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    65. Katharine G. Abraham & Robert Shimer, 2001. "Changes in Unemployment Duration and Labor Force Attachment," NBER Working Papers 8513, National Bureau of Economic Research, Inc.
    66. Schmidt, Christoph M, 1999. "Persistence and the German Unemployment Problem: Empirical Evidence on German Labour Market Flows," CEPR Discussion Papers 2057, C.E.P.R. Discussion Papers.
    67. Krusell, Per & Mukoyama, Toshihiko & Rogerson, Richard & Sahin, Aysegül, 2011. "A three state model of worker flows in general equilibrium," Journal of Economic Theory, Elsevier, vol. 146(3), pages 1107-1133, May.
    68. Giovanni Razzu & Carl Singleton, 2014. "Gender and the Business Cycle: A Stocks and Flows Analysis of US and UK Labour Market States," Economics Discussion Papers em-dp2014-10, Department of Economics, University of Reading.
    69. Renato Faccini & Salvador Ortigueira, 2008. "Labor-Market Volatility in the Search-and-Matching Model: The Role of Investment-Specific Technology Shocks," Economics Working Papers ECO2008/39, European University Institute.
    70. Silva, José I. & Vázquez-Grenno, Javier, 2012. "The Ins and Outs of Unemployment in a Two-Tier Labor Market," Working Paper Series, Center for Labor Studies 2012:12, Uppsala University, Department of Economics.
    71. Troy Davig & Jose Mustre-del-Rio, 2013. "The shadow labor supply and its implications for the unemployment rate," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-29.
    72. Robert E. Hall & Marianna Kudlyak, 2019. "Job-Finding and Job-Losing: A Comprehensive Model of Heterogeneous Individual Labor-Market Dynamics," NBER Working Papers 25625, National Bureau of Economic Research, Inc.
    73. Tito Nícias Teixeira da Silva Filho, 2012. "Going Deeper Into the Link Between the Labour Market and Inflation," Working Papers Series 279, Central Bank of Brazil, Research Department.
    74. Jyotirmoy Bhattacharya, 2023. "Indian Urban Workers’ Labour Market Transitions," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(2), pages 471-494, June.
    75. Yashiv, Eran, 2006. "Evaluating the performance of the search and matching model," European Economic Review, Elsevier, vol. 50(4), pages 909-936, May.
    76. Shigeru Fujita & Garey Ramey, 2006. "The cyclicality of job loss and hiring," Working Papers 06-17, Federal Reserve Bank of Philadelphia.
    77. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    78. Katarzyna Budnik, 2007. "Migration Flows and Labour Market in Poland," NBP Working Papers 44, Narodowy Bank Polski.
    79. Henry S. Farber & Robert G. Valletta, 2013. "Do Extended Unemployment Benefits Lengthen Unemployment Spells? Evidence from Recent Cycles in the U.S. Labor Market," Working Paper Series 2013-09, Federal Reserve Bank of San Francisco.
    80. Murat Tasci, 2012. "The Ins and Outs of Unemployment in the Long Run: Unemployment Flows and the Natural Rate," Koç University-TUSIAD Economic Research Forum Working Papers 1233, Koc University-TUSIAD Economic Research Forum.
    81. Carlos Madeira, 2015. "Identification of Earning Dynamics using Rotating Samples over Short Periods: The Case of Chile," Working Papers Central Bank of Chile 754, Central Bank of Chile.
    82. Roberto Gallardo Del Ange, 2019. "An Analysis on Gross Flows of Workers in Mexico," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 50(1), pages 145-172, Enero-Jun.
    83. James M. Poterba & Lawrence H. Summers, 1984. "Adjusting the Gross Changes Data: Implications for Labor Market Dynamics," NBER Working Papers 1436, National Bureau of Economic Research, Inc.
    84. Bell, Una Louise & Artola, Concha, 2001. "Identifying labour market dynamics using labour force survey data," ZEW Discussion Papers 01-44, ZEW - Leibniz Centre for European Economic Research.
    85. Kathrin Ellieroth & Amanda M. Michaud, 2024. "Quits, Layoffs, and Labor Supply," Opportunity and Inclusive Growth Institute Working Papers 094, Federal Reserve Bank of Minneapolis.
    86. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-errors-adjusted Sahm Rule for Early Identification of Economic Recession," GLO Discussion Paper Series 523, Global Labor Organization (GLO).
    87. Sam Schulhofer-Wohl & Robert Hall, 2014. "Measuring Matching Efficiency with Heterogeneous Jobseekers," 2014 Meeting Papers 368, Society for Economic Dynamics.
    88. Smith, Jennifer C., 2010. "The Ins and Outs of UK Unemployment," Economic Research Papers 270994, University of Warwick - Department of Economics.
    89. Chinhui Juhn & Kevin Murphy & Robert Topel, 2002. "Current Unemployment, Historically Contemplated," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(1), pages 79-136.
    90. Michael W. L. Elsby & Ryan Michaels & David Ratner, 2015. "The Beveridge Curve: A Survey," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 571-630, September.
    91. Alexandre Ounnas, 2020. "Worker Flows and Occupations in the CPS 1976-2010: A Framework for Adjusting the Data," LIDAM Discussion Papers IRES 2020008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    92. Kevin Donovan & Jianyu Lu & Todd Schoellman, 2018. "Labor Market Flows and Development," 2018 Meeting Papers 976, Society for Economic Dynamics.
    93. Vladislav Flek & Martina Mysíková, 2015. "Uneployment Dynamics in Central Europe: A Labour Flow Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(1), pages 73-87.
    94. Ching-Yang Lin & Hiroaki Miyamoto, 2010. "Gross Worker Flows and Unemployment Dynamics in Japan," Working Papers EMS_2010_07, Research Institute, International University of Japan.
    95. Alexandre Ounnas, 2020. "Job Polarization and the Labor Market: A Worker Flow Analysis," LIDAM Discussion Papers IRES 2020010, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    96. Oliver Jean Blanchard & Peter Diamond, 1989. "The Beveridge Curve," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 1-76.
    97. Insan Tunali & Emre Ekinci & Berk Yavuzoglu, 2012. "Rescaled Additively Non-ignorable (RAN) Model of Attrition and Substitution," Koç University-TUSIAD Economic Research Forum Working Papers 1220, Koc University-TUSIAD Economic Research Forum.
    98. Tamayo Castaño, Jorge Andrés, 2012. "Asimetrías en la demanda por trabajo en Colombia : el papel del ciclo económico," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 12, pages 487-542, Banco de la Republica de Colombia.
    99. Jesse Rothstein, 2011. "Unemployment Insurance and Job Search in the Great Recession," NBER Working Papers 17534, National Bureau of Economic Research, Inc.
    100. Miyamoto, Hiroaki, 2011. "Cyclical behavior of unemployment and job vacancies in Japan," Japan and the World Economy, Elsevier, vol. 23(3), pages 214-225.
    101. Hie Joo Ahn & James Hamilton, 2021. "Online Appendix to "Measuring Labor-Force Participation and the Incidence and Duration of Unemployment"," Online Appendices 20-490, Review of Economic Dynamics.
    102. Bernhardt, Robert & Munro, David & Wolcott, Erin, 2021. "How Does the Dramatic Rise of CPS Non-Response Impact Labor Market Indicators?," GLO Discussion Paper Series 781, Global Labor Organization (GLO).
    103. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
    104. Richard Rogerson & Robert Shimer, 2010. "Search in Macroeconomic Models of the Labor Market," NBER Working Papers 15901, National Bureau of Economic Research, Inc.
    105. Keith Humphreys, 1998. "The Latent Markov Chain with Multivariate Random Effects," Sociological Methods & Research, , vol. 26(3), pages 269-299, February.
    106. Marco Del Negro, 2005. "Aggregate unemployment in Krusell and Smith’s economy: a note," FRB Atlanta Working Paper 2005-06, Federal Reserve Bank of Atlanta.
    107. Paul P. Biemer & Kathleen Mullan Harris & Brian J. Burke & Dan Liao & Carolyn Tucker Halpern, 2022. "Transitioning a panel survey from in‐person to predominantly web data collection: Results and lessons learned," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 798-821, July.
    108. Holzer, Harry J. & Hubbard, Glenn & Strain, Michael R., 2021. "Did Pandemic Unemployment Benefits Reduce Employment? Evidence from Early State-Level Expirations in June 2021," IZA Discussion Papers 14927, Institute of Labor Economics (IZA).
    109. Moon, Weh-Sol, 2008. "Explaining the Joint Behavior of Employment, Unemployment and Nonparticipation," MPRA Paper 10583, University Library of Munich, Germany, revised May 2008.
    110. Hiroshi Teruyama & Hiroyuki Toda, 2017. "Polarization and Persistence in the Japanese Labor Market," KIER Working Papers 957, Kyoto University, Institute of Economic Research.
    111. Eduardo Zylberstajn & André Portela Souza, 2016. "The Ins And Outs Of Unemployment In A Dual Labor Market," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 227, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    112. Kiefer, Nicholas M & Lundberg, Shelly J & Neumann, George R, 1985. "How Long Is a Spell of Unemployment? Illusions and Biases in the Use of CPS Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(2), pages 118-128, April.
    113. Bruce Fallick & Charles A. Fleischman, 2001. "The importance of employer-to-employer flows in the U.S. labor market," Finance and Economics Discussion Series 2001-18, Board of Governors of the Federal Reserve System (U.S.).
    114. Felix Reichling, 2005. "Retraining the Unemployed in a Matching Model with Turbulence," Macroeconomics 0506012, University Library of Munich, Germany.
    115. Niklas Engbom, 2019. "Application Cycles," 2019 Meeting Papers 1170, Society for Economic Dynamics.
    116. Yashiv, E., 1999. "Hiring as Investment Behavior," Papers 35-99, Tel Aviv.
    117. Hobbs, Duncan & Strain, Michael R., 2024. "Do Reemployment Bonuses Increase Employment? Evidence from the Idaho Return to Work Bonus Program," IZA Discussion Papers 16924, Institute of Labor Economics (IZA).
    118. Garibaldi, Pietro & Wasmer, Etienne, 2001. "Labor Market Flows and Equilibrium Search Unemployment," IZA Discussion Papers 406, Institute of Labor Economics (IZA).
    119. Karen Mumford & P Smith, 1997. "The Hiring Function Reconsidered: On Closing the Circle," CEP Discussion Papers dp0359, Centre for Economic Performance, LSE.
    120. Jyotirmoy Bhattacharya, 2021. "Indian urban workers' labour market transitions," Papers 2110.05482, arXiv.org, revised Nov 2021.
    121. Katarzyna Budnik, 2012. "Do those who stay work less? On the impact of emigration on the measured TFP in Poland," NBP Working Papers 113, Narodowy Bank Polski.
    122. Hoyt Bleakley & Jeffrey C. Fuhrer, 1997. "Shifts in the Beveridge Curve, job matching, and labor market dynamics," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 3-19.
    123. Schmidt, Christoph M., 1999. "The Heterogeneity and Cyclical Sensitivity of Unemployment: An Exploration of German Labor Market Flows," IZA Discussion Papers 84, Institute of Labor Economics (IZA).
    124. Christian Haefke & Michael Reiter, 2006. "Endogenous labor market participation and the business cycle," Economics Working Papers 950, Department of Economics and Business, Universitat Pompeu Fabra.
    125. Brian Bell & James Smith, 2002. "On gross worker flows in the United Kingdom: evidence from the Labour Force Survey," Bank of England working papers 160, Bank of England.
    126. Natalya Y. Shelkova, 2009. "The Minimum Wage Spike in the Search Economy with Wage-Posting," Working papers 2009-40, University of Connecticut, Department of Economics.
    127. Peter Matthews, 2002. "The Paradox of Labor Discipline With Heterogenous Workers," Middlebury College Working Paper Series 0223, Middlebury College, Department of Economics.
    128. Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010. "Do Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in Tanzania," IZA Discussion Papers 4733, Institute of Labor Economics (IZA).
    129. Brian Silverstone, 2001. "Some Aspects of Labour Market Flows in New Zealand 1986-2001," Working Papers in Economics 01/02, University of Waikato.
    130. Neri, Marcelo Côrtes, 2002. "Decent work and the informal sector in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 461, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    131. John M. Abowd & Francis Kramarz, 1997. "The Costs of Hiring and Separations," NBER Working Papers 6110, National Bureau of Economic Research, Inc.
    132. Partha Chatterjee & Aakash Dev, 2023. "Labour Market Dynamics and Worker Flows in India: Impact of Covid-19," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 299-327, March.
    133. Thomas B. King, 2005. "Labor productivity and job-market flows: trends, cycles, and correlations," Supervisory Policy Analysis Working Papers 2005-04, Federal Reserve Bank of St. Louis.
    134. Bertil Holmlund & Donald Storrie, 2002. "Temporary Work In Turbulent Times: The Swedish Experience," Economic Journal, Royal Economic Society, vol. 112(480), pages 245-269, June.
    135. Abbring, Jaap H. & Berg, Gerard J. van den & Ours, Jan C. van, 1997. "Business cycles and compositional variation in U.S. unemployment," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    136. Marco Guerrazzi & Pier Giuseppe Giribone, 2021. "Dynamic wage bargaining and labour market fluctuations: the role of productivity shocks," SN Business & Economics, Springer, vol. 1(8), pages 1-20, August.
    137. Jed Armstrong & Özer Karagedikli, 2017. "The role of non-participants in labour market dynamics," Reserve Bank of New Zealand Analytical Notes series AN2017/01, Reserve Bank of New Zealand.
    138. Stephen R. G. Jones & W. Craig Riddell, 1998. "Unemployment and Labor Force Attachment: A Multistate Analysis of Nonemployment," NBER Chapters, in: Labor Statistics Measurement Issues, pages 123-155, National Bureau of Economic Research, Inc.
    139. Niklas Engbom, 2018. "Firm and Worker Dynamics in an Aging Labor Market," 2018 Meeting Papers 1009, Society for Economic Dynamics.
    140. Shao, Enchuan & Silos, Pedro, 2017. "Wealth inequality and employment fluctuations," Economic Modelling, Elsevier, vol. 67(C), pages 125-135.
    141. Francesca Bassi & Jacques A. Hagenaars & Marcel A. Croon & Jeroen K. Vermunt, 2000. "Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors," Sociological Methods & Research, , vol. 29(2), pages 230-268, November.
    142. Jerome Fahrer & Alexandra Heath, 1992. "The Evolution of Employment and Unemployment in Australia," RBA Research Discussion Papers rdp9215, Reserve Bank of Australia.
    143. Michael R. Darby & John C. Haltiwanger & Mark W. Plant, 1986. "The Ins and Outs of Unemployment: The Ins Win," UCLA Economics Working Papers 411, UCLA Department of Economics.
    144. Hoyt Bleakley & Ann E. Ferris & Jeffrey C. Fuhrer, 1999. "New data on worker flows during business cycles," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 49-76.
    145. Toshihiko Mukoyama & Richard Rogerson & Aysegul Sahin & Per Krusell, 2009. "Labor supply in a frictional labor market," 2009 Meeting Papers 54, Society for Economic Dynamics.
    146. Stefania Albanesi & Aysegul Sahin, 2017. "Online Appendix to "The Gender Unemployment Gap"," Online Appendices 14-209, Review of Economic Dynamics.
    147. Jitender Singh, 2023. "Unemployment Fluctuations in Urban Labour Market in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 81-111, March.
    148. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," IZA Discussion Papers 13168, Institute of Labor Economics (IZA).
    149. Jolivet, Grégory, 2009. "A longitudinal analysis of search frictions and matching in the U.S. labor market," Labour Economics, Elsevier, vol. 16(2), pages 121-134, April.
    150. Carl Singleton, 2018. "Long‐Term Unemployment and the Great Recession: Evidence from UK Stocks and Flows," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(2), pages 105-126, May.
    151. Eran Yashiv, 2005. "Forward-Looking Hiring Behavior and the Dynamics of the Aggregate Labor Market," 2005 Meeting Papers 360, Society for Economic Dynamics.
    152. Reicher, Christopher Phillip, 2011. "Hiring chains and the dynamic behavior of job and worker flows," Kiel Working Papers 1709, Kiel Institute for the World Economy (IfW Kiel).
    153. Todd Schoellman & Jianyu Lu & Kevin Donovan, 2017. "Firm Size Distributions and Cross-Country Labor Market Outcomes," 2017 Meeting Papers 1571, Society for Economic Dynamics.
    154. Kevin X. D. Huang & Gregory W. Huffman, 2010. "A Defense of the Current US Tax Treatment of Employer-Provided Medical Insurance," Vanderbilt University Department of Economics Working Papers 1001, Vanderbilt University Department of Economics.
    155. Papp, Tamás K., 2015. "The structure of labor market flows," Economics Series 318, Institute for Advanced Studies.
    156. Katarzyna Budnik, 2008. "Search Equilibrium with Migration: the Case of Poland," NBP Working Papers 45, Narodowy Bank Polski.
    157. van den Berg, Gerard J & van Ours, Jan C, 1996. "Unemployment Dynamics and Duration Dependence," Journal of Labor Economics, University of Chicago Press, vol. 14(1), pages 100-125, January.
    158. Robert Shimer, 2004. "The Consequences of Rigid Wages in Search Models," NBER Working Papers 10326, National Bureau of Economic Research, Inc.
    159. Demiralp, Berna & Gantt, Bonnie B. & Selover, David D., 2011. "Modeling unemployment as an inventory: A multicointegration approach," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 724-737.
    160. Christoph M. Schmidt, 2000. "Emploi, chômage et non-activité : une analyse des transitions sur le marché du travail allemand," Économie et Statistique, Programme National Persée, vol. 332(1), pages 83-95.
    161. Robert Shimer, 2005. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies," American Economic Review, American Economic Association, vol. 95(1), pages 25-49, March.
    162. Shigeru Fujita & Christopher J. Nekarda & Garey Ramey, 2007. "The cyclicality of worker flows: new evidence from the SIPP," Working Papers 07-5, Federal Reserve Bank of Philadelphia.
    163. Kamil Galuscak & Jan Solc & Pawel Strzelecki, 2018. "Labour Market Flows over the Business Cycle: The Role of the Participation Margin," Working Papers 2018/17, Czech National Bank.
    164. Reinout De Bock, 2007. "Investment-Specific Technology Shocks and Labor Market Frictions," Working Paper Research 108, National Bank of Belgium.
    165. Giuseppe Moscarini & Francis Vella, 2002. "Aggregate worker reallocation and occupational mobility in the United States: 1971-2000," IFS Working Papers W02/18, Institute for Fiscal Studies.
    166. Simmons, Michael, 2023. "Job-to-job transitions, job finding and the ins of unemployment," Labour Economics, Elsevier, vol. 80(C).
    167. Stephen R. G. Jones & Craig Riddell, 2000. "The Dynamics of US Labor Force Attachment," Econometric Society World Congress 2000 Contributed Papers 0011, Econometric Society.
    168. Natalia Ponomareva & Jeffrey Sheen, 2010. "Cyclical Flows in Australian Labour Markets," The Economic Record, The Economic Society of Australia, vol. 86(s1), pages 35-48, September.
    169. Kangwoo Park, 2007. "Labor-Market Implications of Contracts under Moral Hazard," 2007 Meeting Papers 277, Society for Economic Dynamics.
    170. Robert Shimer, 2012. "Reassessing the Ins and Outs of Unemployment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 127-148, April.
    171. Marianna Kudlyak & Felipe Schwartzman, 2012. "Accounting for unemployment in the Great Recession : nonparticipation matters," Working Paper 12-04, Federal Reserve Bank of Richmond.
    172. Jackson, L Fraser & Khaled, Mohammed S, 2018. "Employment participation, unemployment and non market work: Composition models of the United States labour force," Working Paper Series 20312, Victoria University of Wellington, School of Economics and Finance.
    173. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    174. Eran Yashiv, 2007. "U.S. Labor Market Dynamics And The Business Cycle," 2007 Meeting Papers 101, Society for Economic Dynamics.
    175. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    176. Nissim Ben David, 2010. "A Technique for Gradual Identification of Labor Market Flows," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 341-364, December.
    177. Brian Silverstone & Will Bell, 2011. "Gross Labour Market Flows in New Zealand: Some Questions and Answers," Working Papers in Economics 11/15, University of Waikato.
    178. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
    179. Michael Siemer, 2014. "Firm Entry and Employment Dynamics in the Great Recession," Finance and Economics Discussion Series 2014-56, Board of Governors of the Federal Reserve System (U.S.).

  46. Zellner, Arnold, 1985. "Bayesian Econometrics," Econometrica, Econometric Society, vol. 53(2), pages 253-269, March.

    Cited by:

    1. Francis X. Diebold & Russell L. Lamb, 1996. "Why are estimates of agricultural supply response so variable?," Finance and Economics Discussion Series 96-8, Board of Governors of the Federal Reserve System (U.S.).
    2. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    4. J. Denis Sargan, 2001. "Model Building And Data Mining," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 159-170.
    5. Daniel F. Waggoner & Tao Zha, 2000. "A Gibbs simulator for restricted VAR models," FRB Atlanta Working Paper 2000-3, Federal Reserve Bank of Atlanta.
    6. Anatolyev, Stanislav, 2009. "Dynamic modeling under linear-exponential loss," Economic Modelling, Elsevier, vol. 26(1), pages 82-89, January.
    7. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    8. Hsieh, Ping-Hung, 2002. "An exploratory first step in teletraffic data modeling: evaluation of long-run performance of parameter estimators," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 263-283, August.
    9. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
    10. Hoeting, Jennifer A. & Ibrahim, Joseph G., 1998. "Bayesian predictive simultaneous variable and transformation selection in the linear model," Computational Statistics & Data Analysis, Elsevier, vol. 28(1), pages 87-103, July.
    11. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    12. Pelloni, Gianluigi, 1996. "De Finetti, Friedman, and the methodology of positive economics," Journal of Econometrics, Elsevier, vol. 75(1), pages 33-50, November.
    13. Rickman, Dan S., 1995. "A bayesian analysis of the use of pooled coefficients in a structural regional economic model," International Journal of Forecasting, Elsevier, vol. 11(3), pages 477-490, September.
    14. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    15. Yuntaek Pae & Navid Sabbaghi, 2019. "Strategies for choosing an uncertainty budget in log-robust portfolio management," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-24, June.
    16. Jean-Francois Angers, 2000. "P-credence and outliersl," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 81-108.
    17. Edward J. Nell & Karim Errouaki, 2013. "Rational Econometric Man," Books, Edward Elgar Publishing, number 13976.
    18. Andrle, Michal, 2010. "A note on identification patterns in DSGE models," Working Paper Series 1235, European Central Bank.
    19. Harry Garretsen & Klaas Knot & Erwin Nijsse, 1998. "Learning about fundamentals: The widening of the French ERM bands in 1993," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 134(1), pages 25-41, March.
    20. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    21. Gorui Bian, 1997. "Bayesian inference in location-scale distributions with independent bivariate priors," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 6(1), pages 137-157, June.
    22. Peter C.B. Phillips, 1992. "Bayes Methods for Trending Multiple Time Series with an Empirical Application to the US Economy," Cowles Foundation Discussion Papers 1025, Cowles Foundation for Research in Economics, Yale University.
    23. Salvas-Bronsard, Lise, 1985. "L’information a priori en économétrie," L'Actualité Economique, Société Canadienne de Science Economique, vol. 61(3), pages 287-298, septembre.
    24. Benjamin M. Friedman & Kenneth N. Kuttner, 1989. "Money, Income and Prices After the 1980s," NBER Working Papers 2852, National Bureau of Economic Research, Inc.
    25. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  47. Veloce, William & Zellner, Arnold, 1985. "Entry and empirical demand and supply analysis for competitive industries," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 459-471.

    Cited by:

    1. Arnold Zellner & Jacques K. Ngoie, 2012. "Modeling and policy analysis for the U.S. Science Sector," Working Papers 264, Economic Research Southern Africa.
    2. Banerjee, Sanjibani & A. Barnett, William & A. Duzhak, Evgeniya & Gopalan, Ramu, 2011. "Bifurcation analysis of Zellner's Marshallian Macroeconomic Model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1577-1585, September.
    3. Herbert Ntuli, 2019. "Can local communities afford full control over wildlife conservation? The Case of CAMPFIRE in Zimbabwe," Working Papers 179, Economic Research Southern Africa.
    4. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    5. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    6. Barnett, William A. & Chen, Guo, 2015. "Bifurcation of Macroeconometric Models and Robustness of Dynamical Inferences," Foundations and Trends(R) in Econometrics, now publishers, vol. 8(1-2), pages 1-144, September.
    7. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    8. Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.
    9. Zellner, Arnold, 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 499-502, December.
    10. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.

  48. Zellner, Arnold & Moulton, Brent R., 1985. "Bayesian regression diagnostics with applications to international consumption and income data," Journal of Econometrics, Elsevier, vol. 29(1-2), pages 187-211.

    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. Muhammad Akbar, 2023. "Effects of inflation uncertainty and exchange rate volatility on money demand in Pakistan: Bayesian econometric analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1470-1487, April.
    3. Zellner, Arnold & Tobias, Justin & Ryu, Hang, 1998. "Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models," CUDARE Working Papers 198660, University of California, Berkeley, Department of Agricultural and Resource Economics.
    4. Zellner, Arnold, 2002. "Information processing and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 41-50, March.
    5. Guttman, Irwin, 1992. "A Bayesian look at diagnostics in the univariate linear model," UC3M Working papers. Economics 2831, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Zellner, Arnold, 2004. "To test or not to test and if so, how?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 581-586, November.
    7. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    8. Young, Karen D. S. & Pettit, Lawrence I., 1996. "On priors and Bayes factors," Journal of Econometrics, Elsevier, vol. 75(1), pages 113-119, November.
    9. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  49. Zellner, Arnold & Rossi, Peter E., 1984. "Bayesian analysis of dichotomous quantal response models," Journal of Econometrics, Elsevier, vol. 25(3), pages 365-393, July.

    Cited by:

    1. A. M. Abd El-Raheem & M. H. Abu-Moussa & Marwa M. Mohie El-Din & E. H. Hafez, 2020. "Accelerated Life Tests under Pareto-IV Lifetime Distribution: Real Data Application and Simulation Study," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    2. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    4. Ponce, Aldo F, 2013. "What Do Parties Do in Congress? Explaining the Allocation of Legislative Specialization," MPRA Paper 46573, University Library of Munich, Germany.
    5. Gabriele B. Durrant & Chris Skinner, 2006. "Using data augmentation to correct for non‐ignorable non‐response when surrogate data are available: an application to the distribution of hourly pay," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 605-623, July.
    6. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    7. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.
    8. Marsh, L.C.Lawrence C., 2004. "The econometrics of higher education: editor's view," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 1-18.
    9. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.
    10. Min, Chung-ki, 1998. "A Gibbs sampling approach to estimation and prediction of time-varying-parameter models," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 171-194, April.
    11. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
    12. Peter E. Rossi, 1984. "Convergence of Integrals Encountered in Dichotomous Dependent Variable Problems," Discussion Papers 588, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    13. Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
    14. Edsel A. Peña & Wensong Wu & Walter Piegorsch & Ronald W. West & LingLing An, 2017. "Model Selection and Estimation with Quantal‐Response Data in Benchmark Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 716-732, April.
    15. DeSarbo, Wayne S. & Kim, Youngchan & Fong, Duncan, 1998. "A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 79-108, November.
    16. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
    17. Groenewald, Pieter C. N. & Mokgatlhe, Lucky, 2005. "Bayesian computation for logistic regression," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 857-868, April.
    18. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.
    19. Xiaobin Yang & Keying Ye & Yanping Wang, 2011. "A Study of the Probit Model with Latent Variables in Phase I Clinical Trials," Working Papers 0030, College of Business, University of Texas at San Antonio.
    20. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    21. Johan Koskinen & Sten-Ã…ke Stenberg, 2012. "Bayesian Analysis of Multilevel Probit Models for Data With Friendship Dependencies," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 203-230, April.
    22. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.
    23. Poirier, Dale J., 2012. "Perfect classifiers in partial observability bivariate probit," Economics Letters, Elsevier, vol. 116(3), pages 361-362.
    24. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    25. Stuart R. Lipsitz & Garrett M. Fitzmaurice & Roger D. Weiss, 2020. "Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 890-904, December.
    26. 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.
    27. Naranjo, L. & Martín, J. & Pérez, C.J., 2014. "Bayesian binary regression with exponential power link," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 464-476.
    28. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
    29. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    30. Xiaoyong Li & Giuseppe T. Cirella & Yali Wen & Yi Xie, 2020. "Farmers’ Intentions to Lease Forestland: Evidence from Rural China," Land, MDPI, vol. 9(3), pages 1-18, March.

  50. Veloce, William & Zellner, Arnold, 1984. "Modeling a competitive industry with entry : Implications for demand and supply analysis," Economics Letters, Elsevier, vol. 16(1-2), pages 71-75.

    Cited by:

    1. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.

  51. Zellner, Arnold, 1981. "Posterior odds ratios for regression hypotheses : General considerations and some specific results," Journal of Econometrics, Elsevier, vol. 16(1), pages 151-152, May.

    Cited by:

    1. James M. Poterba & Lawrence H. Summers, 1981. "Dividend Taxes, Corporate Investment, and "Q"," NBER Working Papers 0829, National Bureau of Economic Research, Inc.
    2. Edward Greenberg & Robert P. Parks, 1993. "A Predictive Approach to Model Selection and Multicollinearity," Econometrics 9308001, University Library of Munich, Germany.
    3. Victor Zarnowitz, 1983. "Rational Expectations and Macroeconomic Forecasts," NBER Working Papers 1070, National Bureau of Economic Research, Inc.

  52. Palm, Franz & Zellner, Arnold, 1980. "Large sample estimation and testing procedures for dynamic equation systems," Journal of Econometrics, Elsevier, vol. 12(3), pages 251-283, April.
    See citations under working paper version above.
  53. Zellner, Arnold, 1980. "A Note on the Relationship of Minimum Expected Loss (MELO) and Other Structural Coefficient Estimates," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 482-484, August.

    Cited by:

    1. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    2. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.
    3. Andres Ramirez-Hassan & Manuel Correa-Giraldo, 2018. "Focused econometric estimation for noisy and small datasets: A Bayesian Minimum Expected Loss estimator approach," Papers 1809.06996, arXiv.org.

  54. Zellner, Arnold, 1979. "Causality and econometrics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 9-54, January.

    Cited by:

    1. Fazal, Rizwan & Rehman, Syed Aziz Ur & Rehman, Atiq Ur & Bhatti, Muhammad Ishaq & Hussain, Anwar, 2021. "Energy-environment-economy causal nexus in Pakistan: A graph theoretic approach," Energy, Elsevier, vol. 214(C).
    2. Benjamin M. Friedman, 1981. "The Roles of Money and Credit in Macroeconomic Analysis," NBER Working Papers 0831, National Bureau of Economic Research, Inc.
    3. George S. Tavlas & P.A.V.B. Swamy, 2006. "The New Keynesian Phillips Curve and Inflation Expectations: Re-Specification and Interpretation," Working Papers 34, Bank of Greece.
    4. Ulibarri, Carlos A., 1998. "Is after-hours trading informative?," MPRA Paper 14818, University Library of Munich, Germany.
    5. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.
    6. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    7. Tran Hoa, 1981. "Causality and wage price inflation in West Germany 1964–1979," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 117(1), pages 110-124, March.
    8. Edgar Weissenberger & J. Thomas, 1983. "The causal role of money in West Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 119(1), pages 64-83, March.
    9. Emerick, Paula A. & Willett, Lois Schertz & Novakovic, Andrew M., 1993. "Incorporating Price Regulation in Causality Tests for Dairy Markets," Staff Papers 121338, Cornell University, Department of Applied Economics and Management.
    10. Frederic S. Mishkin, 1980. "Does Anticipated Monetary Policy Matter? An Econometric Investigation," NBER Working Papers 0506, National Bureau of Economic Research, Inc.
    11. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    12. Gebhard Kirchgässner, 1985. "Die Schweiz im internationalen Zinszusammenhang. Eine zeitreihenanalytische Untersuchung für die Zeit von 1974 bis 1983," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 121(IV), pages 329-351, December.
    13. Christian Bordes & Michael Driscoll & Garry Mac Donald, 1985. "Le contenu en information des agrégats monétaires français," Revue Économique, Programme National Persée, vol. 36(6), pages 1169-1206.
    14. Stephen Hall & P. A. V. B. Swamy & George S. Tavlas, 2011. "Generalized Cointegration: A New Concept with an Application to Health Expenditure and Health Outcomes," Discussion Papers in Economics 11/22, Division of Economics, School of Business, University of Leicester.
    15. Ali Darrat, 2002. "On Budget Deficits And Interest Rates: Another Look At The Evidence," International Economic Journal, Taylor & Francis Journals, vol. 16(2), pages 19-29.
    16. Bordo, Michael D., 1986. "Explorations in monetary history: A survey of the literature," Explorations in Economic History, Elsevier, vol. 23(4), pages 339-415, October.
    17. Wilford L. L'Esperance, 1979. "Comment," International Regional Science Review, , vol. 4(2), pages 164-166, December.
    18. Palm, F.C., 1981. "Structural econometric modelling and time series analysis towards an integrated approach," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    19. Hall, Stephen G. & Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "Assessing the causal relationship between euro-area money and prices in a time-varying environment," Economic Modelling, Elsevier, vol. 26(4), pages 760-766, July.
    20. Spanos, Aris, 1995. "On theory testing in econometrics : Modeling with nonexperimental data," Journal of Econometrics, Elsevier, vol. 67(1), pages 189-226, May.
    21. Imke Brüggemann & Dieter Nautz, 1997. "Money growth volatility and the demand for money in Germany: Friedman’s volatility hypothesis revisited," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(3), pages 523-537, September.
    22. Christian Gross, 2011. "Explaining the (non-) causality between energy and economic growth in the U.S. - A multivariate sectoral analysis," Papers on Economics and Evolution 2011-04, Philipps University Marburg, Department of Geography.
    23. Drummond, Paulo, 1993. "Optimum pricing policy, government induced shocks and the dispersion of relative prices in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 47(4), October.
    24. Darrat, Ali F. & Mukherjee, Tarun K., 1995. "Inter-industry differences and the impact of operating and financial leverages on equity risk," Review of Financial Economics, Elsevier, vol. 4(2), pages 141-155.
    25. Russel, James R. & Purcell, Wayne D., 1982. "Implications Of Computerized Trading Of Slaughter Lambs On Pricing Efficiency," 1982 Annual Meeting, August 1-4, Logan, Utah 279147, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. David Joulfaian & Rajen Mookeriee, 1990. "The Government Revenue-Expenditure Nexus: Evidence from a State," Public Finance Review, , vol. 18(1), pages 92-103, January.
    27. Stephen G. Hall & P. A. V. B. Swamy & George S. Tavlas, 2014. "Time Varying Coefficient Models; A Proposal for selecting the Coefficient Driver Sets," Discussion Papers in Economics 14/18, Division of Economics, School of Business, University of Leicester.
    28. Paul Hunermund & Elias Bareinboim, 2019. "Causal Inference and Data Fusion in Econometrics," Papers 1912.09104, arXiv.org, revised Mar 2023.
    29. Frederic S. Mishkin, 1981. "Monetary Policy and Short-Term Interest Rates: An Efficient Markets-Rational Expectations Approach," NBER Working Papers 0693, National Bureau of Economic Research, Inc.
    30. P. Swamy & Stephen Hall, 2012. "Measurement of causal effects," Economic Change and Restructuring, Springer, vol. 45(1), pages 3-23, February.
    31. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    32. Termini, Valeria A., 1981. "Logical, mechanical and historical time in economics," MPRA Paper 24491, University Library of Munich, Germany.
    33. De La Cruz Martinez, Justino, 1999. "Mexico's balance of payments and exchange rates: a cointegration analysis," The North American Journal of Economics and Finance, Elsevier, vol. 10(2), pages 401-421.
    34. Lin, Justin Yifu & Monga, Celestin, 2010. "The growth report and new structural economics," Policy Research Working Paper Series 5336, The World Bank.
    35. James H. Stock & Mark W. Watson, 1998. "Business Cycle Fluctuations in U.S. Macroeconomic Time Series," NBER Working Papers 6528, National Bureau of Economic Research, Inc.
    36. Osiewalski, J. & Steel, M.F.J., 1989. "A Bayesian analysis of exogeneity in models pooling time-series and cross-section data," Discussion Paper 1989-14, Tilburg University, Center for Economic Research.
    37. Magazzino, Cosimo, 2010. "Wagner's law and augmented Wagner's law in EU-27. A time-series analysis on stationarity, cointegration and causality," MPRA Paper 26668, University Library of Munich, Germany.
    38. Wallace E. Huffman & James R. Lothian, 1984. "The Gold Standard and the Transmission of Business Cycles, 1833-1932," NBER Chapters, in: A Retrospective on the Classical Gold Standard, 1821-1931, pages 455-512, National Bureau of Economic Research, Inc.
    39. René Capitelli, 1985. "Eine empirische Untersuchung über den Zusammenhang von kurz-, mittel- und langfristigen schweizerischen Zinssätzen," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 121(I), pages 1-22, March.
    40. Zellner, Arnold, 2007. "Philosophy and objectives of econometrics," Journal of Econometrics, Elsevier, vol. 136(2), pages 331-339, February.
    41. Grahame Thompson, 1993. "Causality in economics: Rhetorical ethic or positivist empiric?," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(1), pages 47-71, February.
    42. Daniel L. Thornton, 2010. "Monetizing the debt," Economic Synopses, Federal Reserve Bank of St. Louis.
    43. Fazal, Rizwan & Bhatti, M. Ishaq & Rehman, Atiq Ur, 2022. "Causality Analysis: The study of Size and Power based on riz-PC Algorithm of Graph Theoretic Approach," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    44. P.A.V.B. Swamy & George S. Tavlas & Stephen G. Hall & George Hondroyiannis, 2008. "Estimation of Parameters in the Presence of Model misspecification and Measurement Error," Discussion Papers in Economics 08/27, Division of Economics, School of Business, University of Leicester.
    45. P.A.V.B. Swamy & Stephen G. Hall & George S. Tavlas & I-Lok Chang & Heather D. Gibson & William H. Greene & Jatinder S. Mehta, 2016. "A Method for Measuring Treatment Effects on the Treated without Randomization," Econometrics, MDPI, vol. 4(2), pages 1-23, March.
    46. Benjamin M. Friedman, 1995. "Does Monetary Policy Affect Real Economic Activity?: Why Do We Still Ask This Question?," NBER Working Papers 5212, National Bureau of Economic Research, Inc.
    47. Ali F. Darrat, 1985. "Inflation and Federal Budget Deficits: some Empirical Results," Public Finance Review, , vol. 13(2), pages 206-215, April.
    48. Nuno Ornelas Martins & Ricardo Morais, 2015. "The influence of critical realism on managerial prediction," Working Papers de Gestão (Management Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    49. Roelf Bult, Jan & Leeflang, Peter S. H. & Wittink, Dick R., 1997. "The relative performance of bivariate causality tests in small samples," European Journal of Operational Research, Elsevier, vol. 97(3), pages 450-464, March.
    50. Michael A. Conte & Ali F. Darrat, 1993. "Testing Alternative Views Of Government Budgeting," Review of Financial Economics, John Wiley & Sons, vol. 3(1), pages 19-40, September.
    51. Stephen Hall & George Hondroyiannis & P. Swamy & George Tavlas, 2010. "The Fisher Effect Puzzle: A Case of Non-Linear Relationship?," Open Economies Review, Springer, vol. 21(1), pages 91-103, February.
    52. Ali F. Darrat, 1998. "Tax and Spend, or Spend and Tax? An Inquiry into the Turkish Budgetary Process," Southern Economic Journal, John Wiley & Sons, vol. 64(4), pages 940-956, April.
    53. Bennett T. McCallum, 2009. "Causality, Structure, and the Uniqueness of Rational Expectations Equilibria," NBER Working Papers 15234, National Bureau of Economic Research, Inc.
    54. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    55. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.
    56. Swamy Paravastu & Peter Muehlen & Jatinder Singh Mehta & I-Lok Chang, 2022. "The State Of Econometrics After John W. Pratt, Robert Schlaifer, Brian Skyrms, And Robert L. Basmann," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 627-654, November.
    57. Hushak, Leroy J., 1985. "The Exchange Rate And Agriculture: Real Issue Or Dead Horse!," 1985 Annual Meeting, August 4-7, Ames, Iowa 278660, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    58. Glismann, Hans H. & Horn, Ernst-Jürgen, 1988. "Growth, growth fluctuations, and the stages of technological advance," Kiel Working Papers 327, Kiel Institute for the World Economy (IfW Kiel).
    59. Ali F. Darrat & Tarun K. Mukherjee, 1995. "Inter‐industry differences and the impact of operating and financial leverages on equity risk," Review of Financial Economics, John Wiley & Sons, vol. 4(2), pages 141-155, March.
    60. Bennett T. McCallum, 2010. "Indeterminacy, Causality, and the Foundations of Monetary Policy Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 107-120, March.
    61. Ali F. Darrat & Karin P. LaBarge & Richard A. LaBarge, 1989. "Is Financial Deepening a Reliable Prescription for Economic Growth?," The American Economist, Sage Publications, vol. 33(2), pages 25-33, October.
    62. Edward Offenbacher & Richard D. Porter & Georg Rich, 1983. "Empirical comparisons of credit and monetary aggregates using vector autoregressive methods," Economic Review, Federal Reserve Bank of Richmond, vol. 69(Nov), pages 16-29.
    63. Ali F. Darrat & Bill P. Bowers, 1996. "On the U.S. Budget Deficit Dilemma: Has Television Contributed?," The American Economist, Sage Publications, vol. 40(2), pages 77-85, October.

  55. Zellner, Arnold, 1979. "An Error-Components Procedure (ECP) for Introducing Prior Information about Covariance Matrices and Analysis of Multivariate Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(3), pages 679-692, October.

    Cited by:

    1. Xu, Qinfeng & You, Jinhong & Zhou, Bin, 2008. "Seemingly unrelated nonparametric models with positive correlation and constrained error variances," Economics Letters, Elsevier, vol. 99(2), pages 223-227, May.

  56. Press, S. James & Zellner, Arnold, 1978. "Posterior distribution for the multiple correlation coefficient with fixed regressors," Journal of Econometrics, Elsevier, vol. 8(3), pages 307-321, December.

    Cited by:

    1. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V., 2016. "Probabilistic forecasting with discrete choice models: Evaluating predictions with pseudo-coefficients of determination," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1021-1030.
    2. Koop, Gary & Poirier, Dale J., 1997. "Learning about the across-regime correlation in switching regression models," Journal of Econometrics, Elsevier, vol. 78(2), pages 217-227, June.
    3. Retzer, J.J. & Soofi, E.S. & Soyer, R., 2009. "Information importance of predictors: Concept, measures, Bayesian inference, and applications," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2363-2377, April.
    4. Alberto J. Hernández & Maikol Solís, 2023. "Geometric goodness of fit measure to detect patterns in data point clouds," Computational Statistics, Springer, vol. 38(3), pages 1231-1253, September.
    5. Ohtani, Kazuhiro, 2000. "Bootstrapping R2 and adjusted R2 in regression analysis," Economic Modelling, Elsevier, vol. 17(4), pages 473-483, December.
    6. 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.
    7. Bailey K. Fosdick & Adrian E. Raftery, 2012. "Estimating the Correlation in Bivariate Normal Data With Known Variances and Small Sample Sizes," The American Statistician, Taylor & Francis Journals, vol. 66(1), pages 34-41, February.

  57. Zellner, Arnold, 1978. "Jeffreys-Bayes posterior odds ratio and the Akaike information criterion for discriminating between models," Economics Letters, Elsevier, vol. 1(4), pages 337-342.

    Cited by:

    1. David E. A. Giles & Peter Hampton, 1985. "An Engel Curve Analysis of Household Expenditure in New Zealand," The Economic Record, The Economic Society of Australia, vol. 61(1), pages 450-462, March.
    2. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    3. Edward Greenberg & Robert P. Parks, 1993. "A Predictive Approach to Model Selection and Multicollinearity," Econometrics 9308001, University Library of Munich, Germany.
    4. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    5. Palm, Franz C., 1995. "Bayesian model selection and prediction with empirical applications comments," Journal of Econometrics, Elsevier, vol. 69(1), pages 333-335, September.
    6. Phillips, Peter C. B., 1995. "Bayesian prediction a response," Journal of Econometrics, Elsevier, vol. 69(1), pages 351-365, September.
    7. Keuzenkamp, H.A. & McAleer, M., 1994. "Simplicity, scientific inference and econometric modelling," Discussion Paper 1994-56, Tilburg University, Center for Economic Research.

  58. Zellner, Arnold, 1978. "Estimation of functions of population means and regression coefficients including structural coefficients : A minimum expected loss (MELO) approach," Journal of Econometrics, Elsevier, vol. 8(2), pages 127-158, October.

    Cited by:

    1. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    2. Francis X. Diebold & Russell L. Lamb, 1996. "Why are estimates of agricultural supply response so variable?," Finance and Economics Discussion Series 96-8, Board of Governors of the Federal Reserve System (U.S.).
    3. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    4. Yihui Lan, 2003. "The Long-Term Behaviour of Exchange Rates, Part II: Aspects of Exchange-Rate Economics," Economics Discussion / Working Papers 03-06, The University of Western Australia, Department of Economics.
    5. John M. Abowd & Orley Ashenfelter, 1980. "Anticipated Unemployment, Temporary Layoffs and Compensating Wage Differentials," Working Papers 517, Princeton University, Department of Economics, Industrial Relations Section..
    6. Kenneth Clements & Yihui Lan, 2007. "Exchange rates, productivity, poverty and inequality," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 471-476.
    7. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    8. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    9. 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.
    10. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    11. Perloff, Jeffrey M. & Schlenker, Wolfram & Sears, Molly & Wu, Ximing, 2020. "Crop Failures from Temperature and Precipitation Shocks: Implications for U.S. Crop Insurance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304540, Agricultural and Applied Economics Association.
    12. Kenneth W Clements & Yihui Lan, 2006. "A New Approach to Forecasting Exchange Rates," Economics Discussion / Working Papers 06-29, The University of Western Australia, Department of Economics.
    13. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    14. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    15. Yihui Lan, 2001. "The Long-Run Value of Currencies: A Big Mac Perspective," Economics Discussion / Working Papers 01-17, The University of Western Australia, Department of Economics.
    16. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    17. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.
    18. Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
    19. Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
    20. Magdalinos, Michael A. & Symeonides, Spyridon D., 1996. "A reinterpretation of the tests of overidentifying restrictions," Journal of Econometrics, Elsevier, vol. 73(2), pages 325-353, August.
    21. Joseph G. Hirschberg & Jenny N. Lye, 2004. "Inferences for the Extremum of Quadratic Regression Models," Department of Economics - Working Papers Series 906, The University of Melbourne.
    22. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  59. Zellner, Arnold, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Further Reply," Econometrica, Econometric Society, vol. 44(3), pages 627-628, May.

    Cited by:

    1. Mouchart, M. & Orsi, R., 2015. "Building a structural model: parameterization and structurality," LIDAM Discussion Papers CORE 2015056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  60. Zellner, Arnold, 1976. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models: Reply," Econometrica, Econometric Society, vol. 44(3), pages 619-624, May.

    Cited by:

    1. Mouchart, M. & Orsi, R., 2015. "Building a structural model: parameterization and structurality," LIDAM Discussion Papers CORE 2015056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  61. Zellner, Arnold & Palm, Franz, 1974. "Time series analysis and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 2(1), pages 17-54, May.
    See citations under working paper version above.
  62. Zellner, Arnold & Williams, Anne D., 1973. "Bayesian analysis of the federal reserve- MIT-Penn model's almon lag consumption function," Journal of Econometrics, Elsevier, vol. 1(3), pages 267-299, October.

    Cited by:

    1. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.

  63. Zellner, Arnold, 1972. "Constraints Often Overlooked in Analyses of Simultaneous Equation Models," Econometrica, Econometric Society, vol. 40(5), pages 849-853, September.

    Cited by:

    1. Mouchart, M. & Orsi, R., 2015. "Building a structural model: parameterization and structurality," LIDAM Discussion Papers CORE 2015056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Stanislav Radchenko, 2004. "Limited Information Bayesian Analysis of a Simultaneous Equation with an Autocorrelated Error Term and its Application to the U.S. Gasoline Market," Econometrics 0408001, University Library of Munich, Germany.
    3. Kenneth C. Land & Marcus Felson, 1978. "Sensitivity Analysis of Arbitrarily Identified Simultaneous-Equation Models," Sociological Methods & Research, , vol. 6(3), pages 283-307, February.

  64. Zellner, Arnold & Montmarquette, Claude, 1971. "A Study of Some Aspects of Temporal Aggregation Problems in Econometric Analyses," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 335-342, November.

    Cited by:

    1. J.C.R. Rowley & D.A. Wilton, 1972. "Known Moving-Average Transformations and Autoregressive Processes," Working Paper 70, Economics Department, Queen's University.
    2. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    3. Levy, Haim & Schwarz, Gideon, 1997. "Correlation and the time interval over which the variables are measured," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 341-350.
    4. Alexandre Petkovic & David Veredas, 2010. "Aggregation of linear models for panel data," ULB Institutional Repository 2013/136203, ULB -- Universite Libre de Bruxelles.
    5. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    6. Palm, F.C. & Nijman, Th., 1982. "Missing observations in the dynamic regression model," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Doyle, Joanne & Eades, Kenneth & Marshall, Brooks, 2021. "Estimating the effect of active management and private equity for defined benefit pension funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 161-169.
    8. Steven C. Blank & Brian H. Schmiesing, 1990. "Whimsical aggregation of temporal data, market identification, and fragile results," Agribusiness, John Wiley & Sons, Ltd., vol. 6(1), pages 33-40.
    9. Huang, Roger D. & Jo, Hoje, 1995. "Data frequency and the number of factors in stock returns," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 987-1003, September.
    10. Ruist, Erik, 1996. "Temporal Aggregation of an Econometric Equation," Working Papers 52, National Institute of Economic Research.
    11. Jon Cockerline & John F. Helliwell & Robert Lafrance, 1988. "Multicountry Modeling of Financial Markets," NBER Working Papers 2736, National Bureau of Economic Research, Inc.
    12. Babai, M. Zied & Ali, Mohammad M. & Nikolopoulos, Konstantinos, 2012. "Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis," Omega, Elsevier, vol. 40(6), pages 713-721.
    13. Teles, Paulo & Wei, William W. S., 2000. "The effects of temporal aggregation on tests of linearity of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 91-103, July.
    14. Janice Boucher Breuer & John Mcdermott & Warren E. Weber, 2018. "Time Aggregation and the Relationship between Inflation and Money Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 351-375, March.
    15. Masson, Paul & Clinton, Kevin, 1976. "Un modèle mensuel du secteur financier au Canada," L'Actualité Economique, Société Canadienne de Science Economique, vol. 52(2), pages 169-184, avril.
    16. Chateau, Jean-Pierre D., 1979. "Une analyse économétrique de la demande et de l’offre de dépôts des sociétés de crédit populaire : le cas des Caisses populaires," L'Actualité Economique, Société Canadienne de Science Economique, vol. 55(2), pages 207-229, avril.
    17. Marcello Estevao, "undated". "Measurement Error and Time Aggregation: A Closer Look at Estimates of Output-Labor Elasticities," Finance and Economics Discussion Series 1996-02, Board of Governors of the Federal Reserve System (U.S.), revised 04 Dec 2019.
    18. Lawrence J. Christiano & Martin S. Eichenbaum, 1986. "Temporal Aggregation and Structural Inference in Macroeconomics," NBER Technical Working Papers 0060, National Bureau of Economic Research, Inc.
    19. Han Liu & Ying Liu & Yonglian Wang, 2021. "Exploring the influence of economic policy uncertainty on the relationship between tourism and economic growth with an MF-VAR model," Tourism Economics, , vol. 27(5), pages 1081-1100, August.
    20. George Athanasopoulos & Puwasala Gamakumara & Anastasios Panagiotelis & Rob J Hyndman & Mohamed Affan, 2019. "Hierarchical Forecasting," Monash Econometrics and Business Statistics Working Papers 2/19, Monash University, Department of Econometrics and Business Statistics.
    21. Breitung, Jörg & Swanson, Norman Rasmus, 1998. "Temporal aggregation and causality in multiple time series models," SFB 373 Discussion Papers 1998,27, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    22. Gulasekaran Rajaguru & Michael O’Neill & Tilak Abeysinghe, 2018. "Does Systematic Sampling Preserve Granger Causality with an Application to High Frequency Financial Data?," Econometrics, MDPI, vol. 6(2), pages 1-24, June.
    23. Montmarquette, Claude, 1976. "Commentaires sur le traitement des inventaires dans le modèle CANDIDE," L'Actualité Economique, Société Canadienne de Science Economique, vol. 52(1), pages 65-68, janvier.
    24. Alexandre Petkovic, 2009. "Three essays on exotic option pricing, multivariate Lévy processes and linear aggregation of panel models," ULB Institutional Repository 2013/210357, ULB -- Universite Libre de Bruxelles.

  65. Zellner, Arnold, 1970. "Estimation of Regression Relationships Containing Unobservable Independent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(3), pages 441-454, October.

    Cited by:

    1. Friedrich Schneider, 2017. "Shadow Economies around the World: New Results for 158 Countries over 1991-2015," Economics working papers 2017-10, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Di Tommaso Maria Laura & Shima Isilda & Steinar Strom & Bettio Francesca, 2007. "As Bad as it Gets: Well Being Deprivation of Sexually Exploited Trafficked women," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200703, University of Turin.
    3. Bekker, Paul & Kapteyn, Arie & Wansbeek, Tom, 1987. "Consistent Sets of Estimates for Regressions with Correlated or Uncorrelated Measurement Errors in Arbitrary Subsets of All Variables," Econometrica, Econometric Society, vol. 55(5), pages 1223-1230, September.
    4. Rahman, Tauhidur & Mittelhammer, Ron C. & Wandschneider, Philip R., 2011. "Measuring quality of life across countries: A multiple indicators and multiple causes approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 43-52, February.
    5. Nezhyvenko, O., 2019. "Indirect or Macroeconomic Methods in Measuring the Informal Economy," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(4), pages 201-215, December.
    6. Francisco J. Bahamonde-Birke & Juan de Dios Ortúzar, 2015. "About the Categorization of Latent Variables in Hybrid Choice Models," Discussion Papers of DIW Berlin 1527, DIW Berlin, German Institute for Economic Research.
    7. David Giles, 1997. "Causality between the measured and underground economies in New Zealand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(1), pages 63-67.
    8. McCluskey, Jill & Rausser, Gordon C., 2000. "Estimation of perceived risk and its effect on property values," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt46x0r71b, Department of Agricultural & Resource Economics, UC Berkeley.
    9. Di Matteo, Livio & Herbert Emery, J. C., 2002. "Wealth and the demand for life insurance: evidence from Ontario, 1892," Explorations in Economic History, Elsevier, vol. 39(4), pages 446-469, October.
    10. Paris, Quirino & Caputo, Michael R., 2004. "Efficient Estimates of a Model of Production and Cost," Working Papers 93742, University of California, Davis, Department of Agricultural and Resource Economics.
    11. Andrzej Buszko, 2017. "The Level Of Shadow Economy In Warmińsko-Mazurski And Kujawsko-Pomorski Regions," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 6(4), pages 9-21.
    12. Roberto Dell´Anno, 2007. "The shadow economy in Portugal: An analysis with the MIMIC approach," Journal of Applied Economics, Universidad del CEMA, vol. 10, pages 253-277, November.
    13. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2008. "Nonparametric estimation of conditional beta pricing models," DEE - Working Papers. Business Economics. WB wb082403, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    14. Tindara Addabbo & Elena Sarti & Dario Sciulli, 2013. "Disability, life satisfaction and social interaction in Italy," Department of Economics (DEMB) 0016, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".
    15. Ramses H. Abul Naga & Robin Burgess, 1997. "Prediction and Determination of Household Permanent Income," STICERD - Distributional Analysis Research Programme Papers 32, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    16. Isaac Ehrlich, 1974. "Participation in Illegitimate Activities: An Economic Analysis," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 68-134, National Bureau of Economic Research, Inc.
    17. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2011. "Conditional beta pricing models: A nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3362-3382.
    18. Martina Menon & Federico Perali & Luca Piccoli, 2018. "Collective consumption: an application to the passive drinking effect," Review of Economics of the Household, Springer, vol. 16(1), pages 143-169, March.
    19. Chen, Hong-Yi & Lee, Alice C. & Lee, Cheng-Few, 2015. "Alternative errors-in-variables models and their applications in finance research," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 213-227.
    20. Kolstad, Charles D. & Xing, Yuqing, 1998. "Do Lax Environmental Regulations Attract Foreign Investment?," University of California at Santa Barbara, Economics Working Paper Series qt3268z4rx, Department of Economics, UC Santa Barbara.
    21. Mária Lackó, 2004. "Tax Rates and Corruption: Labour-market and Fiscal Effects. Empirical cross-country comparisons on OECD and transition countries," wiiw Research Reports 309, The Vienna Institute for International Economic Studies, wiiw.
    22. de Vries, F.P. & Withagen, C.A.A.M., 2005. "Innovation and environmental stringency : The case of sulfur dioxide abatement," Other publications TiSEM 9f3f79ab-2646-4f72-845c-4, Tilburg University, School of Economics and Management.
    23. Feltenstein, Andrew & Iwata, Shigeru, 2005. "Decentralization and macroeconomic performance in China: regional autonomy has its costs," Journal of Development Economics, Elsevier, vol. 76(2), pages 481-501, April.
    24. Raiser, M. & Di Tommaso, M.L. & Weeks, M., 2000. "The Measurement and Determination of Institutional Change: Evidence from Transition Economics," Cambridge Working Papers in Economics 0029, Faculty of Economics, University of Cambridge.
    25. Gervais, Martin & Klein, Paul, 2010. "Measuring consumption smoothing in CEX data," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 988-999, November.
    26. Paulo Mourao, 2020. "Exploring the Likelihood of a Country Being a Tax Haven Using MIMIC Models," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 17-32, June.
    27. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
    28. Francisco J. Bahamonde-Birke & Uwe Kunert & Heike Link & Juan de Dios Ortúzar, 2015. "About Attitudes and Perceptions: Finding the Proper Way to Consider Latent Variables in Discrete Choice Models," Discussion Papers of DIW Berlin 1474, DIW Berlin, German Institute for Economic Research.
    29. Francisco J. Bahamonde-Birke & Tibor Hanappi, 2015. "The Potential of Electromobility in Austria: An Analysis Based on Hybrid Choice Models," Discussion Papers of DIW Berlin 1472, DIW Berlin, German Institute for Economic Research.
    30. Helmut Herwartz & Friedrich Schneider & Egle Tafenau, 2011. "Regional Patterns of the Shadow Economy: Modelling Issues and Evidence from the European Union," Chapters, in: Friedrich Schneider (ed.), Handbook on the Shadow Economy, chapter 6, Edward Elgar Publishing.
    31. Indranil Bardhan & William Cooper & Subal Kumbhakar, 1998. "A Simulation Study of Joint Uses of Data Envelopment Analysis and Statistical Regressions for Production Function Estimation and Efficiency Evaluation," Journal of Productivity Analysis, Springer, vol. 9(3), pages 249-278, March.
    32. Maria Laura Di Tommaso, 2006. "Measuring the well being of children using a capability approach An application to Indian data," CHILD Working Papers wp05_06, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    33. Angel Alanon & M. Gomez-Antonio, 2005. "Estimating the size of the shadow economy in Spain: a structural model with latent variables," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1011-1025.
    34. Francisco J. Bahamonde-Birke & Juan de Dios Ortúzar, 2015. "Analyzing the Continuity of Attitudinal and Perceptional Indicators in Hybrid Choice Models," Discussion Papers of DIW Berlin 1528, DIW Berlin, German Institute for Economic Research.
    35. Hassan, Mai & Schneider, Friedrich, 2016. "Size and Development of the Shadow Economies of 157 Countries Worldwide: Updated and New Measures from 1999 to 2013," IZA Discussion Papers 10281, Institute of Labor Economics (IZA).
    36. Piotr Dybka & Michał Kowalczuk & Bartosz Olesiński & Andrzej Torój & Marek Rozkrut, 2019. "Currency demand and MIMIC models: towards a structured hybrid method of measuring the shadow economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 4-40, February.
    37. John C. Chao & Peter C.B. Phillips, 1996. "Bayesian Posterior Distributions in Limited Information Analysis of the Simultaneous Equations Model Using the Jeffreys Prior," Cowles Foundation Discussion Papers 1137, Cowles Foundation for Research in Economics, Yale University.
    38. Scott Gilbert & Petr Zemcik, 2004. "Who's Afraid of Reduced-Rank Parameterizations of Multivariate Models? Theory and Example," CERGE-EI Working Papers wp223, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    39. Karolina Konopczak, 2020. "Kwantyfikacja zmian luki VAT: podejście ekonometryczne," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 25-42.
    40. Bahamonde-Birke, Francisco J. & Ortúzar, Juan de Dios, 2017. "Analyzing the continuity of attitudinal and perceptual indicators in hybrid choice models," Journal of choice modelling, Elsevier, vol. 25(C), pages 28-39.
    41. Wegge, Leon L., 1996. "Local identifiability of the factor analysis and measurement error model parameter," Journal of Econometrics, Elsevier, vol. 70(2), pages 351-382, February.
    42. Anders Skrondal & Petter Laake, 2001. "Regression among factor scores," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 563-575, December.
    43. Dario Cziraky & Max Gillman, 2004. "Inflation and Endogenous Growth in Underground Economies," wiiw Balkan Observatory Working Papers 50, The Vienna Institute for International Economic Studies, wiiw.
    44. Rahman, Tauhidur & Mittelhammer, Ronald C. & Wandschneider, Philip R., 2004. "A Latent Variable Mimic Approach To Inferring The Quality Of Life," 2004 Annual meeting, August 1-4, Denver, CO 20351, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    45. Chao, John C. & Phillips, Peter C. B., 2002. "Jeffreys prior analysis of the simultaneous equations model in the case with n+1 endogenous variables," Journal of Econometrics, Elsevier, vol. 111(2), pages 251-283, December.
    46. Tindara Addabbo & Elena Sarti, 2013. "Access to work and disability: the case of Italy," Center for the Analysis of Public Policies (CAPP) 0107, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    47. Di Tommaso, Maria Laura, 2007. "Children capabilities: A structural equation model for India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(3), pages 436-450, June.
    48. Mai Hassan & Friedrich Schneider, 2016. "Modelling the Egyptian Shadow Economy: A Currency Demand and A MIMIC Model Approach," CESifo Working Paper Series 5727, CESifo.
    49. Fase, M. M. G., 1995. "The demand for commercial bank loans and the lending rate," European Economic Review, Elsevier, vol. 39(1), pages 99-115, January.
    50. M. Hashem Pesaran, 1988. "Two-Step, Instrumental Variable and Maximum Likelihood Estimation of Multivariate Rational Expectations Models," UCLA Economics Working Papers 493, UCLA Department of Economics.
    51. MAURIN Alain & SOOKRAM Sandra & WATSON Patrick Kent, 2010. "Measuring the Size of the Hidden Economy in Trinidad & Tobago," EcoMod2003 330700098, EcoMod.
    52. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
    53. Bauwens, L. & Dijk, H. K., 1989. "Bayesian Limited Information Analysis Revisited," Econometric Institute Archives 272386, Erasmus University Rotterdam.
    54. David E.A. Giles, 1998. "The Underground Economy: Minimizing the Size of Government," Econometrics Working Papers 9801, Department of Economics, University of Victoria.
    55. Glenn Abela & Tiziana Gauci & Noel Rapa, 2022. "An Analysis of The Shadow Economy in Malta: A Currency Demand and MIMIC Model Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 41-50.
    56. Paraskevi Koufopoulou & Colin C. Williams & Athanassios Vozikis & Kyriakos Souliotis & Antonios Samprakos, 2021. "Estimating Shadow Economy Size in Greece 2000 - 2018: A Flexible MIMIC Approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 71(3-4), pages 23-47, July-Dece.
    57. Maddala, G. S. & Nimalendran, M., 1995. "An unobserved component panel data model to study the effect of earnings surprises on stock prices, trading volumes, and spreads," Journal of Econometrics, Elsevier, vol. 68(1), pages 229-242, July.
    58. Chaudhuri, Kausik & Schneider, Friedrich & Chattopadhyay, Sumana, 2006. "The size and development of the shadow economy: An empirical investigation from states of India," Journal of Development Economics, Elsevier, vol. 80(2), pages 428-443, August.
    59. Kausik Chaudhuri & Friedrich Schneider, 2011. "The Size and Development of the Shadow Economy in India: A First Attempt at a Public Choice Explanation," Chapters, in: Friedrich Schneider (ed.), Handbook on the Shadow Economy, chapter 3, Edward Elgar Publishing.
    60. Fabio Sabatini, 2009. "The relationship between trust and networks. An exploratory empirical analysis," Economics Bulletin, AccessEcon, vol. 29(2), pages 661-672.
    61. Leandro Medina & Friedrich Schneider, 2019. "Shedding Light on the Shadow Economy: A Global Database and the Interaction with the Official One," CESifo Working Paper Series 7981, CESifo.
    62. Chavas, Jean-Paul & Johnson, S. R., 1978. "Rational Expectations in Econometric Models," Economics Statistics and Cooperative Services (ESCS) Reports 329201, United States Department of Agriculture, Economic Research Service.
    63. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    64. Emmanuel Umoru Haruna & Usman Alhassan, 2022. "Does digitalization limit the proliferation of the shadow economy in African countries? An in‐depth panel analysis," African Development Review, African Development Bank, vol. 34(S1), pages 34-62, July.
    65. Joel Slemrod & Caroline Weber, 2012. "Evidence of the invisible: toward a credibility revolution in the empirical analysis of tax evasion and the informal economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 25-53, February.
    66. Ramses H. ABUL NAGA & Enrico BOLZANI, 2000. "Poverty and Permanent Income : A Methodology for Cross-Section Data," Cahiers de Recherches Economiques du Département d'économie 00.26, Université de Lausanne, Faculté des HEC, Département d’économie.
    67. Koffi, Siméon, 2022. "Analyse De L'Economie Informelle En Cote D'Ivoire : Determinants Et Taille [Analysis Of The Shadow Economy In Cote D'Ivoire: Determinants And Size]," MPRA Paper 114472, University Library of Munich, Germany, revised 06 Sep 2022.
    68. Hibbs Jr., Douglas A., 2004. "Voting and the Macroeconomy," Working Papers in Economics 144, University of Gothenburg, Department of Economics, revised 08 Apr 2006.
    69. Orviska, Marta & Caplanova, Anetta & Medved, Jozef & Hudson, John, 2006. "A cross-section approach to measuring the shadow economy," Journal of Policy Modeling, Elsevier, vol. 28(7), pages 713-724, October.
    70. Lindsay M. Tedds & David E. A. Giles, 2000. "Modelling the Underground Economies in Canada and New Zealand: A Comparative Analysis," Econometrics Working Papers 0003, Department of Economics, University of Victoria.
    71. Martina Menon & Federico Perali & Luca Piccoli, 2012. "The Passive Drinking Effect: A Collective Demand Application," Working Papers 05/2012, University of Verona, Department of Economics.
    72. Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
    73. David Giles, 1997. "The hidden economy and tax-evasion prosecutions in New Zealand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(5), pages 281-285.
    74. Do-il Yoo & Jean-Paul Chavas, 2021. "An analysis of risk aversion in biotechnology adoption: the case of US genetically modified corn," Empirical Economics, Springer, vol. 60(5), pages 2613-2635, May.
    75. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    76. Tindara Addabbo & Elena Sarti & Dario Sciulli, 2016. "Healthy life, social interaction and disability," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2609-2623, November.
    77. Mai HASSAN & Friedrich SCHNEIDER, 2016. "Modelling the Egyptian Shadow Economy: A MIMIC model and A Currency Demand approach," Journal of Economics and Political Economy, KSP Journals, vol. 3(2), pages 309-339, June.
    78. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
    79. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    80. Mlambo, Kupukile & Murinde, Victor & Zhao, Tianshu, 2011. "How Does the Institutional Setting for Creditor Rights Affect Bank Lending and Risk-Taking?," Stirling Economics Discussion Papers 2011-03, University of Stirling, Division of Economics.

  66. Zellner, Arnold & Geisel, Martin S, 1970. "Analysis of Distributed Lag Models with Application to Consumption Function Estimation," Econometrica, Econometric Society, vol. 38(6), pages 865-888, November.

    Cited by:

    1. He Xi & Lopez Rigoberto & Liu Yizao, 2017. "Are Online and Offline Advertising Substitutes or Complements? Evidence from U.S. Food Industries," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 15(2), pages 1-10, December.
    2. Francis X. Diebold & Russell L. Lamb, 1996. "Why are estimates of agricultural supply response so variable?," Finance and Economics Discussion Series 96-8, Board of Governors of the Federal Reserve System (U.S.).
    3. E. Philip Howrey, 1980. "The Role of Time Series Analysis in Econometric Model Evaluation," NBER Chapters, in: Evaluation of Econometric Models, pages 275-307, National Bureau of Economic Research, Inc.
    4. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    5. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
    6. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    7. Michio Hatanaka & T. Dudley Wallace, 1980. "Multicollinearity and the Estimation of Low-Order Moments in Stable Lag Distributions," NBER Chapters, in: Evaluation of Econometric Models, pages 323-337, National Bureau of Economic Research, Inc.
    8. G.S. Maddala, 1974. "Ridge Estimators for Distributed Lag Models," NBER Working Papers 0069, National Bureau of Economic Research, Inc.
    9. Barbosa, Fernando de Holanda, 1978. "Expectativa adaptada e ajustamento parcial: identificação e discriminação entre os dois processos," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 32(3), July.
    10. Ralph Breuer & Malte Brettel & Andreas Engelen, 2011. "Incorporating long-term effects in determining the effectiveness of different types of online advertising," Marketing Letters, Springer, vol. 22(4), pages 327-340, November.
    11. Mahmood, Talat, 1990. "Die Dynamik der Rentabilität als stochastischer Prozess: eine empirische Zeitreihenanalyse von ausgewählten deutschen und amerikanischen Unternehmen. Vom Fachbereich 20 Informatik der Technischen Univ," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 112236, September.
    12. Jim Malley & Hassan Molana, 1999. "The Permanent Income Hypothesis Revisited," Dundee Discussion Papers in Economics 105, Economic Studies, University of Dundee.
    13. Anthony J. Pellechio, 1979. "Social Security and Retirement: Evidence From the Canada Time Series," NBER Working Papers 0351, National Bureau of Economic Research, Inc.
    14. Breuer, Ralph & Brettel, Malte, 2012. "Short- and Long-term Effects of Online Advertising: Differences between New and Existing Customers," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 155-166.
    15. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    16. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.
    17. Jim Malley & Hassan Molana, 1997. "The Permanent Income Hypothesis Revisited. Reconciling Evidence from Aggregate Data with the Representative Consumer Behaviour," Working Papers 9708, Business School - Economics, University of Glasgow.
    18. Mehmet Özcan, 2016. "Economical Expectation Theories with Quantitative Aspects: Case of Turkey and Kazakhstan," Eurasian Academy Of Sciences Social Sciences Journal, Eurasian Academy Of Sciences, vol. 7(7), pages 50-73, January.
    19. Thompson, Stanley R. & Butler, Leslie J., 1977. "Price Relationships For Frozen Apples And Tart Cherries," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 6(2), pages 1-11, October.
    20. Jim Malley & Hassan Molana, 2003. "The Life-Cycle-Permanent- Income Hypothesis: A Reinterpretation and Supporting Evidence," Dundee Discussion Papers in Economics 138, Economic Studies, University of Dundee.

  67. A. Zellner & N. S. Revankar, 1969. "Generalized Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(2), pages 241-250.

    Cited by:

    1. Bella, Giovanni & Mattana, Paolo, 2014. "Global indeterminacy of the equilibrium in the Chamley model of endogenous growth in the vicinity of a Bogdanov–Takens bifurcation," Mathematical Social Sciences, Elsevier, vol. 71(C), pages 69-79.
    2. Colling, Benjamin & Van Keilegom, Ingrid, 2016. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," LIDAM Discussion Papers ISBA 2016031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Kloodt, Nick, 2021. "Identification in a fully nonparametric transformation model with heteroscedasticity," Statistics & Probability Letters, Elsevier, vol. 170(C).
    4. J. Kirker Stephens & Rothwell Stephens, 1975. "Economic Hypotheses and the Derivation of Production Functions: A Comment," The Economic Record, The Economic Society of Australia, vol. 51(2), pages 253-255, June.
    5. Samb, R. & Heuchenne, C. & Van Keilegom, I., 2011. "Estimation of the error density in a semiparametric transformation model," LIDAM Discussion Papers ISBA 2011023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Kloodt, Nick & Neumeyer, Natalie, 2020. "Specification tests in semiparametric transformation models — A multiplier bootstrap approach," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    7. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    8. Mellander, Erik, 1991. "An Indirect Approach to Measuring Productivity in Private Services," Working Paper Series 300, Research Institute of Industrial Economics, revised Mar 1992.
    9. Benjamin Colling & Cédric Heuchenne & Rawane Samb & Ingrid Van Keilegom, 2015. "Estimation of the error density in a semiparametric transformation model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(1), pages 1-18, February.
    10. Javier Barbero & Ernesto Rodríguez-Crespo, 2022. "Technological, institutional, and geographical peripheries: regional development and risk of poverty in the European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 311-332, October.
    11. Olesen, Ole Bent & Petersen, Niels Christian, 2013. "Imposing the Regular Ultra Passum law in DEA models," Omega, Elsevier, vol. 41(1), pages 16-27.
    12. King, Robert P. & Park, Timothy A., 2002. "Modeling Scale Economies In Supermarket Operations: Incorporating The Impacts Of Store Characteristics And Information Technologies," 2002 Annual meeting, July 28-31, Long Beach, CA 19881, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. 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.
    14. Hang Ryu, 2009. "Economic assumptions and choice of functional forms: comparison of top down and bottom up approaches," Journal of Productivity Analysis, Springer, vol. 32(1), pages 55-62, August.
    15. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Olesen, Ole B. & Ruggiero, John, 2014. "Maintaining the Regular Ultra Passum Law in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 235(3), pages 798-809.
    17. Erol Muzir & Cevdet Kizil & Burak Ceylan, 2021. "Role of International Trade Competitive Advantage and Corporate Governance Quality in Predicting Equity Returns: Static and Conditional Model Proposals for an Emerging Market," JRFM, MDPI, vol. 14(3), pages 1-31, March.
    18. McDonald, John & Snooks, G. D., 1986. "Domesday Economy: A New Approach to Anglo-Norman History," OUP Catalogue, Oxford University Press, number 9780198285243.
    19. Olesen, Ole B. & Ruggiero, John, 2012. "Maintaining the Regular Ultra Passum Law in data envelopment analysis," Discussion Papers on Economics 2/2012, University of Southern Denmark, Department of Economics.
    20. Mishra, SK, 2006. "Estimation of Zellner-Revankar Production Function Revisited," MPRA Paper 1172, University Library of Munich, Germany.
    21. Swati Mukerjee & Ann Dryden Witte, 1992. "Measurement of Output and Quality Adjustment in the Day-care Industry," NBER Chapters, in: Output Measurement in the Service Sectors, pages 343-369, National Bureau of Economic Research, Inc.
    22. Millan, Joaquin, 2004. "Scale and the Efficiency Production Function," Efficiency Series Papers 2004/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    23. Herbert H. Tsang, 1973. "Economic Hypotheses and the Derivation of Production Functions," The Economic Record, The Economic Society of Australia, vol. 49(3), pages 456-463, September.
    24. Dae-Hwan Kim & Matarr O. Sambou & Moo-Sup Jung, 2016. "Does Technology Transfer Help Small and Medium Companies? Empirical Evidence from Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    25. Constantin Chilarescu, 2019. "A Production Function with Variable Elasticity of Factor Substitution," Economics Bulletin, AccessEcon, vol. 39(4), pages 2343-2360.
    26. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    27. Loyland, Knut & Ringstad, Vidar, 2000. "Gains and structural effects of exploiting scale-economies in Norwegian dairy production," Agricultural Economics, Blackwell, vol. 24(2), pages 149-166, January.
    28. 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.
    29. Førsund, Finn R. & Hjalmarsson, Lennart, 1978. "Generalized Farrell Measures of Efficiency: An Application to Milk Processing in Swedish Dairy Plants," Working Paper Series 17, Research Institute of Industrial Economics.
    30. Peter E. Rossi, 1984. "Stochastic Specification of Cost and Production Relationships," Discussion Papers 616, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    31. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    32. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
    33. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    34. Vanhems, Anne & Van Keilegom, Ingrid, 2019. "Estimation Of A Semiparametric Transformation Model In The Presence Of Endogeneity," Econometric Theory, Cambridge University Press, vol. 35(1), pages 73-110, February.
    35. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
    36. Colling, Benjamin & Van Keilegom, Ingrid, 2017. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," Journal of Multivariate Analysis, Elsevier, vol. 160(C), pages 10-30.
    37. Seo, Young-Joon & Park, Jin Suk, 2016. "The estimation of minimum efficient scale of the port industry," Transport Policy, Elsevier, vol. 49(C), pages 168-175.
    38. Thompson, Gary D., 1988. "Choice Of Flexible Functional Forms: Review And Appraisal," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-15, December.
    39. Mishra, SK, 2007. "Globalization and its Effects on Regional Variations in Factor Substitution and Returns to Scale in the Indian Factory Sector," MPRA Paper 3265, University Library of Munich, Germany.
    40. M. Li, 2003. "A model-combined estimator of elasticity of scale," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 119-122.
    41. Olesen, Ole B., 2014. "A homothetic reference technology in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 233(3), pages 759-771.
    42. Olesen, Ole Bent & Petersen, Niels Christian, 2011. "Scale properties in data envelopment analysis," Discussion Papers on Economics 4/2011, University of Southern Denmark, Department of Economics.
    43. Michael Panik, 2000. "Estimating global returns to scale with a cone-homogeneous production function: some cross-section results," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1787-1791.

Chapters

  1. Zellner, Arnold, 1983. "Statistical theory and econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 2, pages 67-178, Elsevier.

    Cited by:

    1. Krishnakumar, J. & Ronchetti, E., 1997. "Robust estimators for simultaneous equations models," Journal of Econometrics, Elsevier, vol. 78(2), pages 295-314, June.

  2. Arnold Zellner, 1974. "The Quality of Quantitative Economic Policy-making when Targets and Costs of Change are Mis-specified," Palgrave Macmillan Books, in: Willy Sellekaerts (ed.), Econometrics and Economic Theory, chapter 7, pages 147-164, Palgrave Macmillan.

    Cited by:

    1. Robert Inman, 1981. "On setting the agenda for Pennsylvania school finance reform: An exercise in giving policy advice," Public Choice, Springer, vol. 36(3), pages 449-474, January.

  3. Walter Galenson & Arnold Zellner, 1957. "International Comparison of Unemployment Rates," NBER Chapters, in: The Measurement and Behavior of Unemployment, pages 439-584, National Bureau of Economic Research, Inc.

    Cited by:

    1. Eichengreen, Barry & Hatton, Tim, 1988. "Interwar Unemployment in International Perspective," Institute for Research on Labor and Employment, Working Paper Series qt7bw188gk, Institute of Industrial Relations, UC Berkeley.
    2. Gabriel, Ricardo Duque, 2023. "Monetary policy and the wage inflation-unemployment tradeoff," European Economic Review, Elsevier, vol. 159(C).
    3. Hegelund, Erik & Taalbi, Josef, 2023. "What determines unemployment in the long run? Band spectrum regression on ten countries 1913–2016," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 144-167.
    4. Barry Eichengreen & Charles Wyplosz, 1986. "The Economic Consequences of the Franc Poincare," NBER Working Papers 2064, National Bureau of Economic Research, Inc.
    5. Ben S. Bernanke & Kevin Carey, 1996. "Nominal Wage Stickiness and Aggregate Supply in the Great Depression," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 853-883.
    6. Hegeland, Erik & Taalbi, Josef, 2019. "What determines unemployment in the long run? Band spectrum regression on ten countries," Lund Papers in Economic History 203, Lund University, Department of Economic History.
    7. Helene Castenbrandt, 2018. "Trends in morbidity: national statistics on sickness claims among the working population in Sweden, 1892–1954," Economic History Review, Economic History Society, vol. 71(1), pages 213-235, February.
    8. Ragnar Nymoen, 2017. "Between Institutions and Global Forces: Norwegian Wage Formation Since Industrialisation," Econometrics, MDPI, vol. 5(1), pages 1-54, January.
    9. Hellwagner, Timon & Weber, Enzo, 2021. "Labour Market Adjustments to Population Decline," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242455, Verein für Socialpolitik / German Economic Association.

Books

  1. Zellner,Arnold & Keuzenkamp,Hugo A. & McAleer,Michael (ed.), 2009. "Simplicity, Inference and Modelling," Cambridge Books, Cambridge University Press, number 9780521121354, September.

    Cited by:

    1. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.

  2. Zellner,Arnold, 2004. "Statistics, Econometrics and Forecasting," Cambridge Books, Cambridge University Press, number 9780521540445, September.

    Cited by:

    1. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    2. Edward Tsang & Sheri Markose & Hakan Er, 2005. "Chance Discovery In Stock Index Option And Futures Arbitrage," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(03), pages 435-447.
    3. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    4. Darío Debowicz & Paul Dorosh & Hamza Haider & Sherman Robinson, 2013. "A Disaggregated and Macro-consistent Social Accounting Matrix for Pakistan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-25, December.
    5. Eltahir Yassin, 2019. "Accommodation Versus Control Suggested Model to Macro-Economics," Economics, Sciendo, vol. 7(1), pages 95-110, June.
    6. Debowicz, Dario & Dorosh, Paul A. & Robinson, Sherman & Haider, Syed Hamza, 2012. "A 2007-08 social accounting matrix for Pakistan:," PSSP working papers 1, International Food Policy Research Institute (IFPRI).
    7. Giacomo Sbrana, 2008. "On the use of area-wide models in the Euro-zone," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 499-518, October.

  3. Zellner,Arnold & Palm,Franz C. (ed.), 2004. "The Structural Econometric Time Series Analysis Approach," Cambridge Books, Cambridge University Press, number 9780521814072, September.

    Cited by:

    1. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
    2. Arnold Zellner & Jacques K. Ngoie, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 280, Economic Research Southern Africa.
    3. Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Post-Print hal-01440307, HAL.
    4. Hecq, A.W. & Laurent, S.F.J.A. & Palm, F.C., 2011. "On the univariate representation of multivariate volatility models with common factors," Research Memorandum 011, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    6. Herbert Ntuli, 2019. "Can local communities afford full control over wildlife conservation? The Case of CAMPFIRE in Zimbabwe," Working Papers 179, Economic Research Southern Africa.
    7. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    8. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Macro-panels and reality," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    9. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    10. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    11. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    12. Chevillon, G. & Hecq, A.W. & Laurent, S.F.J.A., 2015. "Long memory through marginalization of large systems and hidden cross-section dependence," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. Bernd Hayo & Britta Niehof, 2014. "Analysis of Monetary Policy Responses After Financial Market Crises in a Continuous Time New Keynesian Model," MAGKS Papers on Economics 201421, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Carpenter, Rachel A., 2010. "Sacramento’s Fix I-5 Project: Impact on Bus Transit Ridership," Institute of Transportation Studies, Working Paper Series qt8mq0g9gw, Institute of Transportation Studies, UC Davis.
    15. Arnold Zellner, 2009. "Comments on “Limits of Econometrics” by David Freedman," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 28-32, April.
    16. Riane de Bruyn & Rangan Gupta & Lardo stander, 2011. "Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data," Working Papers 201134, University of Pretoria, Department of Economics.
    17. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Lutkepohl, Helmut, 2007. "General-to-specific or specific-to-general modelling? An opinion on current econometric terminology," Journal of Econometrics, Elsevier, vol. 136(1), pages 319-324, January.
    19. George, Edward I. & Sun, Dongchu & Ni, Shawn, 2008. "Bayesian stochastic search for VAR model restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 553-580, January.
    20. Su, Liangjun & Ullah, Aman, 2008. "Local polynomial estimation of nonparametric simultaneous equations models," Journal of Econometrics, Elsevier, vol. 144(1), pages 193-218, May.
    21. Roberto ESPOSTI, 2007. "On the Decline of Agriculture. Evidence from Italian Regions in the Post-WWII Period," Working Papers 300, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  4. Zellner,Arnold & Keuzenkamp,Hugo A. & McAleer,Michael (ed.), 2002. "Simplicity, Inference and Modelling," Cambridge Books, Cambridge University Press, number 9780521803618, September.

    Cited by:

    1. Phillips, Peter, 1998. "New Unit Root Asymptotics in the Presence of Deterministic Trends," Working Papers 196, Department of Economics, The University of Auckland.
    2. Härdle, Wolfgang Karl & Majer, Piotr, 2012. "Yield curve modeling and forecasting using semiparametric factor dynamics," SFB 649 Discussion Papers 2012-048, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Marsh, Patrick, 2007. "The Available Information For Invariant Tests Of A Unit Root," Econometric Theory, Cambridge University Press, vol. 23(4), pages 686-710, August.
    4. Nikolopoulos, Konstantinos, 2021. "We need to talk about intermittent demand forecasting," European Journal of Operational Research, Elsevier, vol. 291(2), pages 549-559.

  5. Arnold Zellner, 1997. "Bayesian Analysis in Econometrics and Statistics," Books, Edward Elgar Publishing, number 825.

    Cited by:

    1. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    2. Ebrahimi, Nader & Kirmani, S.N.U.A. & Soofi, Ehsan S., 2007. "Multivariate dynamic information," Journal of Multivariate Analysis, Elsevier, vol. 98(2), pages 328-349, February.
    3. Bluford H. Putnam & Samantha Azzarello, 2012. "A Bayesian interpretation of the Federal Reserve's dual mandate and the Taylor Rule," Review of Financial Economics, John Wiley & Sons, vol. 21(3), pages 111-119, September.
    4. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    5. J Mingers, 2006. "A critique of statistical modelling in management science from a critical realist perspective: its role within multimethodology," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 202-219, February.
    6. John Geweke & Gianni Amisano, 2014. "Analysis of Variance for Bayesian Inference," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 270-288, June.
    7. Zellner, Arnold, 1999. "Discussion of Papers Presented at 1999 ASSA Meeting in New York By (1) Foster and Whiteman, (2) Golan, Moretti and Perloff, and (3) LaFrance," CUDARE Working Papers 198675, University of California, Berkeley, Department of Agricultural and Resource Economics.
    8. Nader Ebrahimi & Nima Y. Jalali & Ehsan S. Soofi & Refik Soyer, 2014. "Importance of Components for a System," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 395-420, June.
    9. Marriott, John & Newbold, Paul, 2000. "The strength of evidence for unit autoregressive roots and structural breaks: A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 98(1), pages 1-25, September.
    10. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    11. Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.
    12. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    13. Retzer, J.J. & Soofi, E.S. & Soyer, R., 2009. "Information importance of predictors: Concept, measures, Bayesian inference, and applications," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2363-2377, April.
    14. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    15. Zellner, Arnold & Min, Chung-ki, 1998. "Forecasting turning points in countries' output growth rates: A response to Milton Friedman," Journal of Econometrics, Elsevier, vol. 88(2), pages 203-206, November.
    16. Zellner, Arnold, 2002. "Information processing and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 41-50, March.
    17. Zellner, Arnold, 2004. "To test or not to test and if so, how?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 581-586, November.
    18. Nader Ebrahimi & Ehsan S. Soofi & Refik Soyer, 2013. "When are observed failures more informative than observed survivals?," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(2), pages 102-110, March.
    19. Arnold Zellner, 2003. "Some Recent Developments in Econometric Inference," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 203-215.
    20. Nicolas Bousquet, 2010. "Eliciting vague but proper maximal entropy priors in Bayesian experiments," Statistical Papers, Springer, vol. 51(3), pages 613-628, September.
    21. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    22. Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.
    23. Soofi, E.S. & Nystrom, P.C. & Yasai-Ardekani, M., 2009. "Executives' perceived environmental uncertainty shortly after 9/11," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3502-3515, July.
    24. Luo, Jiawen & Chen, Langnan, 2020. "Realized volatility forecast with the Bayesian random compressed multivariate HAR model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 781-799.
    25. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    26. Fan, Tsai-Hung & Berger, James O., 2000. "Robust Bayesian displays for standard inferences concerning a normal mean," Computational Statistics & Data Analysis, Elsevier, vol. 33(4), pages 381-399, June.
    27. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    28. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  6. Arnold Zellner, 1978. "Seasonal Analysis of Economic Time Series," NBER Books, National Bureau of Economic Research, Inc, number zell78-1.

    Cited by:

    1. Sen Cheong Kon & Lindsay W. Turner, 2005. "Neural Network Forecasting of Tourism Demand," Tourism Economics, , vol. 11(3), pages 301-328, September.
    2. Lutkepohl, Helmut, 1984. "Linear aggregation of vector autoregressive moving average processes," Economics Letters, Elsevier, vol. 14(4), pages 345-350.
    3. E. Philip Howrey, 1980. "The Role of Time Series Analysis in Econometric Model Evaluation," NBER Chapters, in: Evaluation of Econometric Models, pages 275-307, National Bureau of Economic Research, Inc.
    4. SILVESTRINI, Andrea & SALTo, Matteo & MOULIN, Laurent & VEREDAS, David, 2009. "Monitoring and forecasting annual public deficit every month: the case of France," LIDAM Reprints CORE 2019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
    6. Gabriele Fiorentini & Enrique Sentana, 2016. "Neglected serial correlation tests in UCARIMA models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 121-178, March.
    7. Regina Kaiser & Agustín Maravall, 2002. "A Complete Model-Based Interpretation of the Hodrick-Prescott Filter: Spuriousness Reconsidered," Working Papers 0208, Banco de España.
    8. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    9. Sbrana, Giacomo & Silvestrini, Andrea, 2013. "Aggregation of exponential smoothing processes with an application to portfolio risk evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1437-1450.
    10. Gianluca Caporello & Agustín Maravall & Fernando J. Sánchez, 2001. "Program TSW Reference Manual," Working Papers 0112, Banco de España.
    11. Stefano Grassi & Tommaso Proietti, 2011. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," CREATES Research Papers 2011-30, Department of Economics and Business Economics, Aarhus University.
    12. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    13. Fantazzini, Dean & Toktamysova, Zhamal, 2015. "Forecasting German Car Sales Using Google Data and Multivariate Models," MPRA Paper 67110, University Library of Munich, Germany.
    14. Maravall, Agustín, 1992. "Missing observations and additive outliers in time series models," UC3M Working papers. Economics 2888, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Maravall, Agustín, 2000. "Notes on time serie analysis, ARIMA models and signal extraction," DES - Working Papers. Statistics and Econometrics. WS 10058, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Michael Fung, 2013. "A trade-off between non-fundamental risk and incentives," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 29-51, July.
    17. Arina Sapova & Aleksey Porshakov & Andrey Andreev & Evgenia Shatilo, 2018. "Review of Methodological Specifics of Consumer Price Index Seasonal Adjustment in the Bank of Russia," Bank of Russia Working Paper Series wps33, Bank of Russia.
    18. Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
    19. Ester Ruiz & Fernando Lorenzo, 1997. "Prediction with univariate time series models: The Iberia case," Documentos de Trabajo (working papers) 0298, Department of Economics - dECON.
    20. Wu, Yangru, 1995. "Are there rational bubbles in foreign exchange markets? Evidence from an alternative test," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 27-46, February.
    21. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
    22. Kenneth Land & David Cantor, 1983. "Arima models of seasonal variation in U. S. birth and death rates," Demography, Springer;Population Association of America (PAA), vol. 20(4), pages 541-568, November.
    23. Girardin, Eric & Liu, Zhenya, 2005. "Bank credit and seasonal anomalies in China's stock markets," China Economic Review, Elsevier, vol. 16(4), pages 465-483.
    24. Maravall, Agustín, 1999. "Short-term and long-term trends, seasonal and the business cycle," DES - Working Papers. Statistics and Econometrics. WS 6291, Universidad Carlos III de Madrid. Departamento de Estadística.
    25. Dick van Dijk 1 & Birgit Strikholm & Timo Teräsvirta, 2003. "The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 79-98, June.
    26. Gómez, Víctor & Breitung, Jörg, 1998. "The Beveridge-Nelson decomposition: A different perspective with new results," SFB 373 Discussion Papers 1998,26, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    27. Stephen G. Cecchetti & Anil K. Kashyap, 1995. "International Cycles," NBER Working Papers 5310, National Bureau of Economic Research, Inc.
    28. Siva R Venna & Satya Katragadda & Vijay Raghavan & Raju Gottumukkala, 2021. "River Stage Forecasting using Enhanced Partial Correlation Graph," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4111-4126, September.
    29. Agustín Maravall & Fernando J. Sánchez, 2000. "An Application of TRAMO-SEATS: Model Selection and Out-of-Sample Performance: the Swiss CPI Series," Working Papers 0014, Banco de España.
    30. Regina Kaiser & Agustín Maravall, 2004. "Combining filter design with model based filtering (with an application to business cycle estimation)," Working Papers 0417, Banco de España.
    31. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    32. Zellner, Arnold, 1996. "Models, prior information, and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 75(1), pages 51-68, November.
    33. Teles, Paulo & Wei, William W. S., 2000. "The effects of temporal aggregation on tests of linearity of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 91-103, July.
    34. Giacomo Sbrana & Andrea Silvestrini, 2012. "Temporal aggregation of cyclical models with business cycle applications," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 93-107, March.
    35. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.
    36. Agustín Maravall & Cristophe Planas, 1996. "Estimation Error and the Specification of Unobserved Component Models," Working Papers 9608, Banco de España.
    37. Kirchner, Robert, 1999. "Auswirkungen des neuen Saisonbereinigungsverfahrens Census X-12-ARIMA auf die aktuelle Wirtschaftsanalyse in Deutschland," Discussion Paper Series 1: Economic Studies 1999,07, Deutsche Bundesbank.
    38. Maria J. Herrerias & Eric Girardin, 2013. "Seasonal Patterns of Energy in China," Post-Print hal-01499617, HAL.
    39. Breitung, Jörg, 1998. "On model based seasonal adjustment procedures," SFB 373 Discussion Papers 1998,12, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    40. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    41. De Loo, Ivo, 1998. "Fables of Faubus?: Testing the Sectoral Shift Hypothesis in the Netherlands Using a Simplified Kalman Filter Model," Research Memorandum 002, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    42. Ardeni, Pier Giorgio & Wright, Brian, 1990. "The long term behavior of commodity prices," Policy Research Working Paper Series 358, The World Bank.
    43. Campos, Julia, 1991. "A Brief Look on the Literature on Deseasonalization," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 11(2), November.
    44. Helmut Luetkepohl, 2009. "Forecasting Aggregated Time Series Variables: A Survey," Economics Working Papers ECO2009/17, European University Institute.
    45. Tommaso, Proietti & Stefano, Grassi, 2010. "Bayesian stochastic model specification search for seasonal and calendar effects," MPRA Paper 27305, University Library of Munich, Germany.
    46. Loredana Ureche-Rangau & Franck Speeg, 2011. "A simple method for variance shift detection at unknown time points," Economics Bulletin, AccessEcon, vol. 31(3), pages 2204-2218.
    47. Maravall, Agustín, 2000. "An application of tramo-seats: changes in seasonality and current trend-cycle assesment: the german retail trade turnover series," DES - Working Papers. Statistics and Econometrics. WS 10010, Universidad Carlos III de Madrid. Departamento de Estadística.
    48. Mora, Jhon James & Cendales, Andres & Caicedo Carolina, 2016. "Diplomas y desajuste educativo en Cali a partir de avisos clasificados," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 179-198, December.
    49. Peter Young, 1999. "Recursive and en-bloc approaches to signal extraction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(1), pages 103-128.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.