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Georges BRESSON

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. Badi H. Baltagi & Georges Bresson & Jean‐Michel Etienne, 2015. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo‐Panel Model with Nested Random Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 509-528, April.

    Mentioned in:

    1. Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects (Journal of Applied Econometrics 2015) in ReplicationWiki ()

Working papers

  1. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change," CIRANO Working Papers 2023s-01, CIRANO.

    Cited by:

    1. Lis-Castiblanco, Catherine & Jordi, Louis, 2024. "Adaptation to Frost and Heat Risks in French Viticulture: Are Grape Growers Dumb Farmers?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343569, Agricultural and Applied Economics Association.

  2. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2021. "Robust Dynamic Panel Data Models Using 𝛆𝛆-Contamination," Center for Policy Research Working Papers 240, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. B. Ben Moummad & E. Ezzahid & A. Zoglat, 2023. "The impact of capital goods prices on Africa's economic performance," South African Journal of Economics, Economic Society of South Africa, vol. 91(1), pages 68-84, March.

  3. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Nektarios A. Michail & Konstantinos D. Melas & Dimitris Batzilis, 2021. "Container shipping trade and real GDP growth: A panel vector autoregressive approach," Economics Bulletin, AccessEcon, vol. 41(2), pages 304-315.
    2. Xiaoshi Zhou & Wanglin Ma, 2021. "Does agricultural mechanization reduce vulnerable employment? Evidence from cross-country panel data," Economics Bulletin, AccessEcon, vol. 41(2), pages 294-303.

  4. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.

    Cited by:

    1. Yu-Zhu Tian & Man-Lai Tang & Wai-Sum Chan & Mao-Zai Tian, 2021. "Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm’s bond ratings," Computational Statistics, Springer, vol. 36(2), pages 1289-1319, June.
    2. Hossain, Mohammed Sawkat, 2021. "A revisit of capital structure puzzle: Global evidence and analysis," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 657-678.
    3. Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2021. "Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression," Indian Economic Review, Springer, vol. 56(1), pages 25-48, June.
    4. Mohit Batham & Soudeh Mirghasemi & Mohammad Arshad Rahman & Manini Ojha, 2021. "Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States," Papers 2109.10122, arXiv.org, revised May 2023.
    5. Manini Ojha & Mohammad Arshad Rahman, 2020. "Do Online Courses Provide an Equal Educational Value Compared to In-Person Classroom Teaching? Evidence from US Survey Data using Quantile Regression," Papers 2007.06994, arXiv.org.
    6. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    7. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    8. Ivan Jeliazkov & Shubham Karnawat & Mohammad Arshad Rahman & Angela Vossmeyer, 2023. "Flexible Bayesian Quantile Analysis of Residential Rental Rates," Papers 2305.13687, arXiv.org, revised Sep 2023.

  5. Marc Beltempo & Georges Bresson & Guy Lacroix, 2020. "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," CIRANO Working Papers 2020s-21, CIRANO.

    Cited by:

    1. Marc Beltempo & Georges Bresson & Jean-Michel Étienne & Guy Lacroix, 2022. "Infections, accidents and nursing overtime in a neonatal intensive care unit," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 627-643, June.

  6. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2019. "Carbon Dioxide Emissions and Economic Activities: A Mean Field Variational Bayes Semiparametric Panel Data Model with Random Coefficients," Post-Print hal-04129289, HAL.

    Cited by:

    1. Alina Wilke & Zhiwei Shen & Matthias Ritter, 2021. "How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin," Energies, MDPI, vol. 14(17), pages 1-20, September.
    2. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    3. Cho-Hoi Hui & Andrew Wong, 2021. "Do countries adjust the carbon intensity of energy towards targets? The role of financial development on the adjustment," SN Business & Economics, Springer, vol. 1(10), pages 1-30, October.

  7. Georges Bresson & Jean-Michel Etienne & Pierre Mohnen, 2016. "How Important Is Innovation? A Bayesian Factor-Augmented Productivity Model Based On Panel Data," Post-Print hal-04149263, HAL.

    Cited by:

    1. Lingyan Xu & Dandan Wang & Jianguo Du, 2021. "The Heterogeneous Influence of Infrastructure Construction on China’s Urban Green and Smart Development—The Threshold Effect of Urban Scale," Land, MDPI, vol. 10(10), pages 1-17, September.
    2. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.

  8. Guy Lacroix & Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi, 2015. "Robust linear static panel data models using ε-contamination," CIRANO Working Papers 2015s-30, CIRANO.

    Cited by:

    1. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2021. "Robust Dynamic Panel Data Models Using 𝛆𝛆-Contamination," Center for Policy Research Working Papers 240, Center for Policy Research, Maxwell School, Syracuse University.
    2. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2020. "Robust Dynamic Panel Data Models Using ε-contamination," CIRANO Working Papers 2020s-07, CIRANO.
    3. Anoop Chaturvedi & Shalabh & Sandeep Mishra, 2021. "Generalized Bayes Estimator for Spatial Durbin Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 267-285, December.
    4. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    5. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    6. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
    7. Ponomarev, Yuriy (Пономарев, Юрий) & Rey, Aleksey (Рей, Алексей) & Radchenko, Darya (Радченко, Дарья), 2018. "Investigation of the Relationship between the Intensity of International Trade and the Volatility of Paired Exchange Rates of the Russian Federation and its Trading Partners [Исследование Взаимосвя," Working Papers 061823, Russian Presidential Academy of National Economy and Public Administration.
    8. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

  9. Badi H. Baltagi & Georges Bresson & Jean-Michae Etienne, 2013. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects," Center for Policy Research Working Papers 163, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Sergi Basco & Jair N. Ojeda-Joya, 2024. "House Prices and International Remittances: Evidence from Colombia," Borradores de Economia 1273, Banco de la Republica de Colombia.
    2. Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2016. "Daily House Price Indices: Construction, Modeling, and Longer‐run Predictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1005-1025, September.
    3. Yuheng Ling, 2020. "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 367-388, April.
    4. Deller, Steven & Whitacre, Brian, 2018. "Broadband’s Relationship to Rural Housing Values," Staff Paper Series 591, University of Wisconsin, Agricultural and Applied Economics.
    5. Duran, Nicolas & Elhorst, J. Paul, 2017. "A Spatio-temporal-similarity and Common Factor Approach of Individual Housing Prices," Research Report 2018007-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.
    7. Bing Zhu & Stanimira Milcheva, 2020. "The Pricing of Spatial Linkages in Companies’ Underlying Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 443-475, October.
    8. Myrna, Olena, 2023. "Competition in online land lease auctions in Ukraine: Reduced-form estimation," Land Use Policy, Elsevier, vol. 125(C).
    9. Liebelt, Veronika & Bartke, Stephan & Schwarz, Nina, 2018. "Revealing Preferences for Urban Green Spaces: A Scale-sensitive Hedonic Pricing Analysis for the City of Leipzig," Ecological Economics, Elsevier, vol. 146(C), pages 536-548.
    10. Kuangyu Wen & Ximing Wu & David J. Leatham, 2021. "Spatially Smoothed Kernel Densities with Application to Crop Yield Distributions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 349-366, September.

  10. Badi H. Baltagi & Georges Bresson, 2012. "A Robust Hausman-Taylor Estimator," Center for Policy Research Working Papers 140, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Chen, Jing & Yue, Rongxian & Wu, Jianhong, 2020. "Testing for individual and time effects in the two-way error component model with time-invariant regressors," Economic Modelling, Elsevier, vol. 92(C), pages 216-229.
    2. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    3. Chakraborty, Lekha & Chakraborty, Pinaki, 2018. "Federalism, Fiscal Asymmetries and Economic Convergence: Evidence from Indian States," Working Papers 18/232, National Institute of Public Finance and Policy.
    4. Dhaene, Geert & Zhu, Yu, 2017. "Median-based estimation of dynamic panel models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 398-423.
    5. M. Hashem Pesaran & Qiankun Zhou, 2018. "Estimation of time-invariant effects in static panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1137-1171, November.
    6. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    7. Aquaro, M. & Čížek, P., 2013. "One-step robust estimation of fixed-effects panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 536-548.
    8. Yvonne Umulisa, 2020. "Estimation of the East African Community's trade benefits from promoting intra‐regional trade," African Development Review, African Development Bank, vol. 32(1), pages 55-66, March.
    9. Amoroso, Sara & Bruno, Randolph Luca & Magazzini, Laura, 2022. "The Identification of Time-Invariant Variables in Panel Data Model: Exploring the Role of Science in Firms’ Productivity," IZA Discussion Papers 15708, Institute of Labor Economics (IZA).
    10. Schorr, A. & Lips, M., 2018. "Influence of milk yield on profitability a quantile regression analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277000, International Association of Agricultural Economists.
    11. Liouaeddine, Mariem & Bijou, Mohammed & Naji, Faïrouz, 2017. "The Main Determinants of Moroccan Students' Outcomes," MPRA Paper 80247, University Library of Munich, Germany.
    12. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
    13. Li, Shaomin & Wang, Kangning & Ren, Yanyan, 2018. "Robust estimation and empirical likelihood inference with exponential squared loss for panel data models," Economics Letters, Elsevier, vol. 164(C), pages 19-23.
    14. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.

  11. Georges Bresson & Jean-Michel Etienne & Pierre Mohnen, 2011. "How important is innovation? A Bayesian factor-augmented productivity model on panel data," Working Papers halshs-00812155, HAL.

    Cited by:

    1. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

  12. Baltagi, Badi H. & Bresson, Georges, 2010. "Maximum Likelihood Estimation and Lagrange Multiplier Tests for Panel Seemingly Unrelated Regressions with Spatial Lag and Spatial Errors: An Application to Hedonic Housing Prices in Paris," IZA Discussion Papers 5227, Institute of Labor Economics (IZA).

    Cited by:

    1. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    2. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2016. "Climbing the property ladder: An analysis of market integration in London property prices," Working Paper series 16-30, Rimini Centre for Economic Analysis.
    3. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    4. Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
    5. Badi H. Baltagi & Georges Bresson & Jean-Michae Etienne, 2013. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects," Center for Policy Research Working Papers 163, Center for Policy Research, Maxwell School, Syracuse University.
    6. Stephen G. Hall & George S. Tavlas & Deborah Gefang, 2023. "A test to select between spatial weighting matrices," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-10, December.
    7. Fernando A. López & Román Mínguez & Jesús Mur, 2020. "ML versus IV estimates of spatial SUR models: evidence from the case of Airbnb in Madrid urban area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 313-347, April.
    8. Efstathios Polyzos & Costas Siriopoulos, 2024. "Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 225-262, July.
    9. Ren, Yimeng & Li, Zhe & Zhu, Xuening & Gao, Yuan & Wang, Hansheng, 2024. "Distributed estimation and inference for spatial autoregression model with large scale networks," Journal of Econometrics, Elsevier, vol. 238(2).
    10. Celbis, Mehmet Guney & Wong, Pui-hang & Guznajeva, Tatjana, 2018. "The Eurasian customs union and the economic geography of Belarus: A panel convergence approach," MERIT Working Papers 2018-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Heather D. Gibson & Stephen G. Hall & Deborah Gefang & Pavlos Petroulas & George S. Tavlas, 2020. "Did the absence of a central bank backstop in the sovereign bond markets exacerbate spillovers during the euro-area crisis?," Working Papers 281, Bank of Greece.
    12. Chuanhua Wei & Chao Liu & Fengyun Gui, 2017. "Geographically weight seemingly unrelated regression (GWSUR): a method for exploring spatio-temporal heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4189-4195, September.
    13. Hernán Enríquez Sierra & Carlos Barreto Nieto & Carolina Correa Caro & Jacobo Campo Robledo, 2013. "Precio del suelo y regalías en Colombia: un análisis espacial para los municipios productores de petróleo," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, June.
    14. Wang, Luya & Li, Kunpeng & Wang, Zhengwei, 2014. "Quasi maximum likelihood estimation for simultaneous spatial autoregressive models," MPRA Paper 59901, University Library of Munich, Germany.
    15. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
    16. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    17. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," Center for Policy Research Working Papers 247, Center for Policy Research, Maxwell School, Syracuse University.
    18. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    19. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    20. AMBA OYON, Claude Marius & Mbratana, Taoufiki, 2017. "Simultaneous equation models with spatially autocorrelated error components," MPRA Paper 82395, University Library of Munich, Germany.
    21. Zhu, Xuening & Huang, Danyang & Pan, Rui & Wang, Hansheng, 2020. "Multivariate spatial autoregressive model for large scale social networks," Journal of Econometrics, Elsevier, vol. 215(2), pages 591-606.
    22. Rong Wang & Fayuan Wang, 2022. "Exploring the Role of Green Finance and Energy Development towards High-Quality Economic Development: Application of Spatial Durbin Model and Intermediary Effect Model," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    23. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Discussion Paper 2011-134, Tilburg University, Center for Economic Research.
    24. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    25. Hailong Qian & Heather L. Bednarek, 2015. "Partial efficient estimation of SUR models," Economics Bulletin, AccessEcon, vol. 35(1), pages 338-348.
    26. Yang, Kai & Lee, Lung-fei, 2017. "Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 196(1), pages 196-214.
    27. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    28. Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    29. Fernando López & Jesús Mur & Ana Angulo, 2014. "Spatial model selection strategies in a SUR framework. The case of regional productivity in EU," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 197-220, August.
    30. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    31. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    32. Marko Kryvobokov & Louafi Bouzouina, 2014. "Willingness to pay for accessibility under the conditions of residential segregation," Post-Print halshs-01082820, HAL.
    33. Heather D Gibson & Stephen G Hall & Deborah GeFang & Pavlos Petroulas & George S Tavlas, 2021. "Cross-country spillovers of national financial markets and the effectiveness of ECB policies during the euro-area crisis," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1454-1470.
    34. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    35. Celbis M.G. & Crombrugghe D.P.I. de, 2014. "Can internet infrastructure help reduce regional disparities? : evidence from Turkey," MERIT Working Papers 2014-078, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    36. Gibson, Heather D. & Hall, Stephen G. & Petroulas, Pavlos & Tavlas, George S., 2022. "An investigation into feedback and spatial relationships between banks’ share prices and sovereign bond spreads during the euro crisis," Journal of Financial Stability, Elsevier, vol. 63(C).
    37. Michele Battisti & Giovanni Bernardo & Andrea Mario Lavezzi & Giuseppe Maggio, 2019. "Shooting down the price: evidence from mafia homicides and housing market volatility," Working Paper series 19-05, Rimini Centre for Economic Analysis.
    38. Yusep Suparman & Henk Folmer & Johan H.L. Oud, 2016. "The willingness to pay for in-house piped water in urban and rural Indonesia," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 407-426, June.
    39. Gauvin, Laetitia & Vignes, Annick & Nadal, Jean-Pierre, 2013. "Modeling urban housing market dynamics: Can the socio-spatial segregation preserve some social diversity?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1300-1321.

  13. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.

    Cited by:

    1. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    2. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    4. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    5. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    6. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    7. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
    8. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.

  14. 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.

    Cited by:

    1. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    2. Badi H. Baltagi & Chihwa Kao & Sanggon Na, 2011. "Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary," Center for Policy Research Working Papers 128, Center for Policy Research, Maxwell School, Syracuse University.
    3. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
    5. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    6. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.

  15. Baltagi H-B & Bresson G. & Pirotte A., 2007. "Testing the fixed effects restrictions? A Monte Carlo study of Chamberlain’s Minimum Chi-Squared test," Working Papers ERMES 0703, ERMES, University Paris 2.

    Cited by:

    1. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    2. Pedro Araujo & Olena Mykhaylova & James Staveley-O’Carroll, 2015. "Financial liberalization and patterns of international portfolio holdings," Empirical Economics, Springer, vol. 49(1), pages 213-234, August.
    3. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.

  16. Baltagi B-H & Bresson G. & Pirotte A., 2007. "Forecasting with Spatial Panel Data," Working Papers ERMES 0710, ERMES, University Paris 2.

    Cited by:

    1. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
    2. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    3. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    4. Giovanni Millo, 2022. "The generalized spatial random effects model in R," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-18, December.
    5. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.
    6. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    7. M. Mayer & R. Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," Working Papers wp899, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Wongsa-art, Pipat & Kim, Namhyun & Xia, Yingcun & Moscone, Francesco, 2024. "Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    9. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    10. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    11. Hughes, Gordon & Chinowsky, Paul & Strzepek, Ken, 2010. "The costs of adaptation to climate change for water infrastructure in OECD countries," Utilities Policy, Elsevier, vol. 18(3), pages 142-153, September.
    12. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.
    13. Bernard Fingleton, 2014. "Forecasting with dynamic spatial panel data: practical implementation methods," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 194-207.
    14. 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.
    15. Xiaohong Chen & Xiang Wang & Hua Zhang & Jia Li, 2014. "The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
    16. Roberto Patuelli & Matías Mayor, 2014. "Introduction," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 191-193.
    17. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    18. Fonseca Morello, Thiago & Marchetti Ramos, Rossano & O. Anderson, Liana & Owen, Nathan & Rosan, Thais Michele & Steil, Lara, 2020. "Predicting fires for policy making: Improving accuracy of fire brigade allocation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 169(C).
    19. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Modeling and predicting agricultural land use in England based on spatially high-resolution data," Cardiff Economics Working Papers E2021/7, Cardiff University, Cardiff Business School, Economics Section.
    20. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021. "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers 2021-02, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    21. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    22. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
    23. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    24. Yu, Dalei & Bai, Peng & Ding, Chang, 2015. "Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 116-135.
    25. Alejandro Barragán-Ocaña & Gerardo Reyes-Ruiz & Samuel Olmos-Peña & Hortensia Gómez-Viquez, 2020. "Approach to the identification of an alternative technological innovation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 23-45, January.
    26. Xianning WANG & Jingrong DONG & Zhi XIAO & Guanjie HE, 2019. "A novel spatial mixed frequency forecasting model with application to Chinese regional GDP," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 54-77, June.
    27. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    28. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2011. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(3), pages 243-248, September.
    29. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
    30. Manami Ogura, 2022. "Forecasting consumption expenditure using a dynamic panel model with cross-sectional dependence: the case of Japan," SN Business & Economics, Springer, vol. 2(9), pages 1-16, September.
    31. Marcos-Martinez, Raymundo & Bryan, Brett A. & Schwabe, Kurt A. & Connor, Jeffery D. & Law, Elizabeth A., 2018. "Forest transition in developed agricultural regions needs efficient regulatory policy," Forest Policy and Economics, Elsevier, vol. 86(C), pages 67-75.
    32. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
    33. Du, Zaichao, 2014. "Testing for serial independence of panel errors," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 248-261.
    34. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.

  17. Baltagi B-H & Bresson G. & Pirotte A., 2005. "Panel Unit Root Tests and Spatial Dependence," Working Papers ERMES 0503, ERMES, University Paris 2.

    Cited by:

    1. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Kurt A. Hafner & David Mayer-Foulkes, 2012. "Fertility, Human Development, and Economic Growth: Long- term Short-term Causal Links," DEGIT Conference Papers c017_024, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    4. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
    5. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Ruhr Economic Papers 226, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Costantini, Mauro & Destefanis, Sergio, 2009. "Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions," Economic Modelling, Elsevier, vol. 26(2), pages 320-327, March.
    7. Nektarios Aslanidis & Stilianos Fountas, 2012. "Is real GDP stationary? Evidence from a panel unit root test with cross-sectional dependence and historical data," Discussion Paper Series 2012_09, Department of Economics, University of Macedonia, revised Oct 2012.
    8. Bove, Vincenzo & Elia, Leandro, 2011. "Drugs and Violence in Afghanistan: A Panel VAR with Unobserved Common Factor Analysis," NEPS Working Papers 2/2011, Network of European Peace Scientists.
    9. Herwartz, H. & Siedenburg, F., 2008. "Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 137-150, September.
    10. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    11. Manoel F. Meyer Bittencourt, 2005. "Macroeconomic Performance and Inequality: Brazil 1983-94," Ibero America Institute for Econ. Research (IAI) Discussion Papers 130, Ibero-America Institute for Economic Research.
    12. Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Andreas Dietrich, 2009. "Does Growth Cause Structural Change, or Is it the Other Way Round? A Dynamic Panel Data Analyses for Seven OECD Countries," Jena Economics Research Papers 2009-034, Friedrich-Schiller-University Jena.
    14. Tayyab Ayaz, Muhammad & Prodromou, Tina & Le, Thanh & Nepal, Rabindra, 2024. "Energy security dimensions and economic growth in Non-OECD Asia: An analysis on the role of institutional quality with energy policy implications," Energy Policy, Elsevier, vol. 188(C).
    15. Martin C. Arnold & Christoph Hanck, 2019. "On Combining Evidence from Heteroskedasticity Robust Panel Unit Root Tests in Pooled Regressions," JRFM, MDPI, vol. 12(3), pages 1-22, July.
    16. Mitze, Timo, 2014. "Measuring Regional Spillovers in Long- and Short-Run Models of Total Factor Productivity, Trade, and FDI," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37(3), pages 365-388.
    17. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    18. Bakas, Dimitrios & Papapetrou, Evangelia, 2014. "Unemployment in Greece: Evidence from Greek regions using panel unit root tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 551-562.
    19. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    20. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    21. Yiannis Karavias & Elias Tzavalis, 2016. "Local Power of Fixed-T Panel Unit Root Tests With Serially Correlated Errors and Incidental Trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(2), pages 222-239, March.
    22. Yilanci, Veli & Turkmen, N. Ceren & Shah, Muhammad Ibrahim, 2022. "An empirical investigation of resource curse hypothesis for cobalt," Resources Policy, Elsevier, vol. 78(C).
    23. Evangelia Papapetrou & Dimitrios Bakas, 2012. "Unemployment in Greece: evidence from Greek regions," Working Papers 146, Bank of Greece.
    24. Muhammad Omer & Jakob de Haan & Bert Scholtens, 2014. "Testing uncovered interest rate parity using LIBOR," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3708-3723, October.
    25. Giannetti, C., 2008. "Unit Roots and the Dynamics of Market Shares : An Analysis Using Italian Banking Micro-Panel," Other publications TiSEM 08ff44cb-31c2-4845-8f7d-1, Tilburg University, School of Economics and Management.
    26. Xu, Bin & Lin, Boqiang, 2020. "Investigating drivers of CO2 emission in China’s heavy industry: A quantile regression analysis," Energy, Elsevier, vol. 206(C).
    27. Manoel Bittencourt, 2008. "Inflation and Financial Development: Evidence from Brazil," Working Papers 067, Economic Research Southern Africa.
    28. Moscone, F. & Tosetti, E., 2010. "Testing for error cross section independence with an application to US health expenditure," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 283-291, September.
    29. Kamrul Hassan & Ruhul Salim, 2011. "The linkage between relative population growth and purchasing power parity," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 10(2), pages 154-169, July.
    30. Badi H. Baltagi & Francesco Moscone, 2010. "Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data," Center for Policy Research Working Papers 120, Center for Policy Research, Maxwell School, Syracuse University.
    31. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4534-4555.
    32. Timo Mitze, 2012. "Within and Between Panel Cointegration in the German Regional Output–Trade–FDI Nexus," Lecture Notes in Economics and Mathematical Systems, in: Empirical Modelling in Regional Science, edition 127, chapter 0, pages 191-215, Springer.
    33. Badi H. Baltagi & Alain Pirotte, 2010. "Panel Data Inference under Spatial Dependence," Center for Policy Research Working Papers 123, Center for Policy Research, Maxwell School, Syracuse University.
    34. Baltagi B-H & Bresson G. & Pirotte A., 2007. "Forecasting with Spatial Panel Data," Working Papers ERMES 0710, ERMES, University Paris 2.
    35. Dimitrios Bakas & Theodore Panagiotidis & Gianluigi Pelloni, 2017. "Regional And Sectoral Evidence Of The Macroeconomic Effects Of Labor Reallocation: A Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 501-526, January.
    36. Lajos Barath & Imre Ferto, 2016. "Productivity and Convergence in European Agriculture," CERS-IE WORKING PAPERS 1626, Institute of Economics, Centre for Economic and Regional Studies.
    37. Sarafidis, Vasilis, 2016. "Neighbourhood GMM estimation of dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 526-544.
    38. Jesús Mur & Ana Angulo, 2007. "Clues for discriminating between moving average and autoregressive models in spatial processes," Spanish Economic Review, Springer;Spanish Economic Association, vol. 9(4), pages 273-298, December.
    39. Yiannis Karavias & Elias Tzavalis, 2014. "Testing for unit roots in panels with structural changes, spatial and temporal dependence when the time dimension is finite," Discussion Papers 14/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    40. Schulze, Franziska, 2010. "Spatial dependencies in German matching functions," SFB 649 Discussion Papers 2010-054, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    41. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    42. Bernard Fingleton & Manfred Fischer, 2010. "Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(3), pages 467-491, June.
    43. Robert J R Elliott & Puyang Sun & Tong Zhu, 2014. "Urbanization and Energy Intensity: A Province-level Study for China," Discussion Papers 14-05, Department of Economics, University of Birmingham.
    44. Fantazzini, Dean, 2008. "An Econometric Analysis of Financial Data in Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 10(2), pages 91-137.
    45. Alain Pirotte & Jesús Mur, 2017. "Neglected dynamics and spatial dependence on panel data: consequences for convergence of the usual static model estimators," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 202-229, July.
    46. Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
    47. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    48. Valter Giacinto, 2010. "On vector autoregressive modeling in space and time," Journal of Geographical Systems, Springer, vol. 12(2), pages 125-154, June.
    49. Du, Xiaodong & Hennessy, David A. & Edwards, William M., 2008. "Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6355, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    50. Rafael González‐Val & Javier Silvestre, 2023. "War and city size: The asymmetric effects of the Spanish Civil War," Journal of Regional Science, Wiley Blackwell, vol. 63(4), pages 898-921, September.
    51. van der Ploeg, Frederick & Poelhekke, Steven, 2010. "Do Natural Resources Attract FDI? Evidence from Non-Stationary Sector-Level Data," CEPR Discussion Papers 8079, C.E.P.R. Discussion Papers.
    52. Islam, Md. Rabiul & Madsen, Jakob B., 2015. "Is income inequality persistent? Evidence using panel stationarity tests, 1870–2011," Economics Letters, Elsevier, vol. 127(C), pages 17-19.
    53. Werner, Daniel, 2013. "Regional convergence analysis for skill-specific employment groups," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79706, Verein für Socialpolitik / German Economic Association.
    54. Franziska Lottmann, 2012. "Regional Unemployment in Germany: a spatial panel data analysis," ERSA conference papers ersa12p53, European Regional Science Association.
    55. Werner, Daniel, 2014. "New insights into the development of regional unemployment disparities," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100416, Verein für Socialpolitik / German Economic Association.
    56. Pellervo Hämäläinen & Tuomas Malinen, 2011. "The relationship between regional value-added and public capital in Finland: what do the new panel econometric techniques tell us?," Empirical Economics, Springer, vol. 40(1), pages 237-252, February.
    57. Baltagi, Badi H. & Moscone, Francesco & Tosetti, Elisa, 2011. "Medical Technology and the Production of Health Care," IZA Discussion Papers 5545, Institute of Labor Economics (IZA).
    58. Nektarios Aslanidis & Selva Demiralp, 2020. "Has the Financial Crisis affected the Real Interest Rate Dynamics in Europe?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(1), pages 1-18, April.
    59. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Does Lax Environmental Regulation Attract FDI when accounting for "third-country" effects?," MPRA Paper 11321, University Library of Munich, Germany, revised Sep 2008.
    60. Mounir Dahmani & Mohamed Mabrouki & Adel Ben Youssef, 2022. "The Information and Communication Technologies-Economic Growth Nexus in Tunisia: A Cross-Section Dynamic Panel Approach," Post-Print hal-03506745, HAL.
    61. Fingleton, Bernard, 2008. "Competing models of global dynamics: Evidence from panel models with spatially correlated error components," Economic Modelling, Elsevier, vol. 25(3), pages 542-558, May.
    62. Steven Poelhekke, 2011. "Home Bank Intermediation of Foreign Direct Investment," CESifo Working Paper Series 3490, CESifo.
    63. Diego-Ivan Ruge-Leiva, 2014. "International R&D spillovers and unobserved common shocks," Working Papers 08/14, Instituto Universitario de Análisis Económico y Social.
    64. Mounir Dahmani & Mohamed Mabrouki & Adel Ben Youssef, 2022. "ICT, trade openness and economic growth in Tunisia: what is going wrong?," Post-Print halshs-03593470, HAL.
    65. Faria, Weslem & de Almeida, Alexandre, 2013. "Relationship between Openness to Trade and Deforestation: Empirical Evidence from the Brazilian Amazon," TD NEREUS 3-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    66. Barbara Dettori & Emanuela Marrocu & Raffaele Paci, 2012. "Total Factor Productivity, Intangible Assets and Spatial Dependence in the European Regions," Regional Studies, Taylor & Francis Journals, vol. 46(10), pages 1401-1416, November.
    67. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
    68. Herzer, Dierk, 2022. "The impact of domestic and foreign R&D on TFP in developing countries," World Development, Elsevier, vol. 151(C).
    69. Perevyshin, Yu. & Skrobotov, A., 2017. "The Price Convergence of Individual Goods in the Russian Regions," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 71-102.
    70. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Working Papers 2013-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    71. Marzieh RONAGHI & Eric SCORSONE, 2023. "The Impact Of Governance On Poverty And Unemployment Control Before And After The 2020 Covid Outbreak In The United States," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 23(2), pages 35-56.
    72. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany.
    73. Munteanu Irina-Denisa, 2023. "Analysis of the Educational System - An Econometric and Managerial Perspective," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 2172-2183, July.
    74. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    75. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.
    76. Lottmann, Franziska, 2012. "Explaining regional unemployment differences in Germany: A spatial panel data analysis," SFB 649 Discussion Papers 2012-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    77. Badi H. Baltagi & Junjie Shu, 2024. "A Survey of Spatial Unit Roots," Mathematics, MDPI, vol. 12(7), pages 1-32, March.
    78. Buettner, Thiess, 2009. "The contribution of equalization transfers to fiscal adjustment: Empirical results for German municipalities and a US-German comparison," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 417-431, September.
    79. Dimitrios Bakas & Evangelia Papapetrou, 2014. "Unemployment by Gender: Evidence from EU Countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 103-111, February.
    80. dos Santos, Gervásio & Faria, Weslem, 2012. "Spatial Panel Data Models and Fuel Demand in Brazil," TD NEREUS 10-2012, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    81. Lezheng Liu & Isabel Ruiz, 2006. "Convergence Hypothesis: Evidence from Panel Unit Root Test with Spatial Dependence," Revista Ecos de Economía, Universidad EAFIT, October.
    82. Aslanidis, Nektarios & Demiralp, Selva, 2013. "How did the Financial Crisis affect the Real Interest Rate Dynamics in Europe?," Working Papers 2072/211885, Universitat Rovira i Virgili, Department of Economics.
    83. Tani, Massimiliano & Joyeux, Roselyne, 2013. "Do Business Visits Cause Productivity Growth?," IZA Discussion Papers 7827, Institute of Labor Economics (IZA).
    84. Erti Jiaduo & Md. Golam Kibria & Nazhat Nury Aspy & Ehsan Ullah & Md. Emran Hossain, 2023. "The Impact of Agricultural Employment and Technological Innovation on the Environment: Evidence from BRICS Nations Considering a Novel Environmental Sustainability Indicator," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    85. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    86. Poelhekke, Steven, 2015. "Do global banks facilitate foreign direct investment?," European Economic Review, Elsevier, vol. 76(C), pages 25-46.
    87. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    88. Weslem Faria & Alexandre Almeida, 2011. "Agricultural Expansion, Openness to Trade and Deforestation at the Brazilian Amazon: A Spatial Econometric Analysis," ERSA conference papers ersa11p1013, European Regional Science Association.
    89. Civelli, Andrea & Horowitz, Andrew & Teixeira, Arilton, 2018. "Foreign aid and growth: A Sp P-VAR analysis using satellite sub-national data for Uganda," Journal of Development Economics, Elsevier, vol. 134(C), pages 50-67.
    90. Du, Xiaodong, 2008. "Essays on land cash rents, biofuels, and their interactions," ISU General Staff Papers 200801010800001979, Iowa State University, Department of Economics.
    91. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.
    92. Beenstock, Michael & Felsenstein, Daniel, 2015. "Estimating spatial spillover in housing construction with nonstationary panel data," Journal of Housing Economics, Elsevier, vol. 28(C), pages 42-58.
    93. Delwar Hossain, 2014. "Differential Impacts of Foreign Capital and Remittance Inflows on Domestic Savings in the Developing Countries: A Dynamic Heterogeneous Panel Analysis," Departmental Working Papers 2014-07, The Australian National University, Arndt-Corden Department of Economics.
    94. Sahoo, Pravakar & Dash, Ranjan Kumar, 2013. "Financial sector development and domestic savings in South Asia," Economic Modelling, Elsevier, vol. 33(C), pages 388-397.
    95. Helmut Herwartz & Florian Siedenburg & Yabibal M. Walle, 2016. "Heteroskedasticity Robust Panel Unit Root Testing Under Variance Breaks in Pooled Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 727-750, May.
    96. Peter Farkas & Laszlo Matyas, 2015. "Testing for Unit Roots in Panel Data with Boundary Crossing Counts," CEU Working Papers 2015_5, Department of Economics, Central European University, revised 03 Nov 2015.
    97. Mounir Dahmani & Mohamed Mabrouki & Adel Ben Youssef, 2021. "The ICT, Financial Development, Energy Consumption and Economic Growth Nexus in MENA Countries: Panel CS-ARDL Evidence," GREDEG Working Papers 2021-46, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    98. Timo Mitze, 2011. "Regional heterogeneity in consumption due to current income shocks: New evidence from the Permanent Income Hypothesis," ERSA conference papers ersa10p729, European Regional Science Association.
    99. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  18. Baltagi B-H. & Bresson G. & Pirotte A., 2004. "Joint LM test for homoskedasticity in a one-way error component model," Working Papers ERMES 0408, ERMES, University Paris 2.

    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. Richard Kouamé Moussa, 2019. "Heteroskedasticity in One-Way Error Component Probit Models," Econometrics, MDPI, vol. 7(3), pages 1-22, August.
    3. 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.
    4. Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare, 2014. "Testing for heteroskedasticity and spatial correlation in a two way random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 153-171.
    5. Javier Alejo & Antonio Galvao & Gabriel Montes-Rojas & Walter Sosa-Escudero, 2015. "Tests for Normality in Linear Panel Data Models," CEDLAS, Working Papers 0178, CEDLAS, Universidad Nacional de La Plata.
    6. Chen, Jing & Yue, Rongxian & Wu, Jianhong, 2020. "Testing for individual and time effects in the two-way error component model with time-invariant regressors," Economic Modelling, Elsevier, vol. 92(C), pages 216-229.
    7. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    8. Baltagi, Badi H. & Jung, Byoung Cheol & Song, Seuck Heun, 2010. "Testing for heteroskedasticity and serial correlation in a random effects panel data model," Journal of Econometrics, Elsevier, vol. 154(2), pages 122-124, February.
    9. Julius Schäper & Rainer Winkelmann, 2024. "Random effects panel data models with known heteroskedasticity," ECON - Working Papers 445, Department of Economics - University of Zurich, revised Sep 2024.
    10. Walter Sosa Escudero & Anil K. Bera & Gabriel Montes Rojas, 2009. "Testing Under Local Misspecification and Artificial Regressions," Working Papers 97, Universidad de San Andres, Departamento de Economia, revised Oct 2009.
    11. Montes-Rojas, Gabriel & Sosa-Escudero, Walter, 2011. "Robust tests for heteroskedasticity in the one-way error components model," Journal of Econometrics, Elsevier, vol. 160(2), pages 300-310, February.
    12. Yap, Ghialy, 2013. "The impacts of exchange rates on Australia's domestic and outbound travel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 139-150.
    13. Wu, Jianhong & Li, Guodong, 2014. "Moment-based tests for individual and time effects in panel data models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 569-581.
    14. Badi H. Baltagi & Seuck Heun Song & Jae Hyeok Kwon, 2008. "Testing for Heteroskedasticity and Spatial Correlation in a Random Effects Panel Data Model," Center for Policy Research Working Papers 108, Center for Policy Research, Maxwell School, Syracuse University.
    15. Juhl, Ted & Sosa-Escudero, Walter, 2014. "Testing for heteroskedasticity in fixed effects models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 484-494.
    16. Galvao, Antonio F. & Montes-Rojas, Gabriel & Sosa-Escudero, Walter & Wang, Liang, 2013. "Tests for skewness and kurtosis in the one-way error component model," Journal of Multivariate Analysis, Elsevier, vol. 122(C), pages 35-52.
    17. Yue Chen & Wentao Zhang & Xiangbin Yan & Jiahua Jin, 2020. "The life-cycle influence mechanism of the determinants of financing performance: an empirical study of a Chinese crowdfunding platform," Review of Managerial Science, Springer, vol. 14(1), pages 287-309, February.
    18. Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    19. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    20. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    21. Wu, Jianhong, 2020. "A joint test for serial correlation and heteroscedasticity in fixed-T panel regression models with interactive effects," Economics Letters, Elsevier, vol. 197(C).
    22. Fang, Bin & Ye, Qiang & Law, Rob, 2016. "Effect of sharing economy on tourism industry employment," Annals of Tourism Research, Elsevier, vol. 57(C), pages 264-267.
    23. Rui Hou & Leiming Li & Bingquan Liu, 2020. "Backers investment behavior on explicit and implicit factors in reward-based crowdfunding based on ELM theory," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-29, August.
    24. Bumba Mukherjee & David Andrew Singer, 2010. "International Institutions and Domestic Compensation: The IMF and the Politics of Capital Account Liberalization," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 45-60, January.

  19. Baltagi B. & Bresson G. & Pirotte A., 2004. "Adaptive estimation of heteroskedastic error component model," Working Papers ERMES 0402, ERMES, University Paris 2.

    Cited by:

    1. 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.
    2. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    3. Juhl, Ted & Sosa-Escudero, Walter, 2014. "Testing for heteroskedasticity in fixed effects models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 484-494.
    4. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    5. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    6. Anderson, John & Sutherland, Dylan, 2015. "Developed economy investment promotion agencies and emerging market foreign direct investment: The case of Chinese FDI in Canada," Journal of World Business, Elsevier, vol. 50(4), pages 815-825.

  20. Badi H. Baltagi & Georges Bresson & Alain Pirotte, 2004. "Tobin q : Forecast performance for hierarchical Bayes, shrinkage, heterogeneous and homogeneous panel data estimators," Post-Print hal-04103132, HAL.

    Cited by:

    1. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    2. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
    3. Andrea Vaona & Guido Ascari, 2012. "Regional Inflation Persistence: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 46(4), pages 509-523, June.
    4. Musolesi, Antonio, 2007. "Basic stocks of knowledge and productivity: Further evidence from the hierarchical Bayes estimator," Economics Letters, Elsevier, vol. 95(1), pages 54-59, April.
    5. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    6. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    7. Simona Bigerna & Maria Chiara D’Errico & Paolo Polinori, 2022. "Sustainable Power Generation in Europe: A Panel Data Analysis of the Effects of Market and Environmental Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 445-479, October.
    8. Brücker, Herbert & Siliverstovs, Boriss, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute of Labor Economics (IZA).
    9. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    11. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    12. Massimiliano Mazzanti & Antonio Musolesi, 2012. "The heterogeneity of Carbon Kuznets Curves for advanced countries. Comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators," Working Papers 201206, University of Ferrara, Department of Economics.
    13. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    14. Trapani, Lorenzo & Urga, Giovanni, 2009. "Optimal forecasting with heterogeneous panels: A Monte Carlo study," International Journal of Forecasting, Elsevier, vol. 25(3), pages 567-586, July.
    15. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    16. Andrea Vaona, 2016. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins in the fourth Kondratieff wave," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 155-170, August.
    17. Baltagi B-H & Bresson G. & Pirotte A., 2007. "Forecasting with Spatial Panel Data," Working Papers ERMES 0710, ERMES, University Paris 2.
    18. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    19. Bellla, Gianni & Massidda, Carla & Etzo, Ivan, 2010. "A panel estimation of the relationship between income, electric power consumption and CO2 emissions," MPRA Paper 26077, University Library of Munich, Germany.
    20. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    21. Mazzanti, Massimiliano & Musolesi, Antonio & Zoboli, Roberto, 2006. "A Bayesian Approach to the Estimation of Environmental Kuznets Curves for CO2 Emissions," Climate Change Modelling and Policy Working Papers 12057, Fondazione Eni Enrico Mattei (FEEM).
    22. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
    23. Massimiliano Mazzanti & Antonio Musolesi, 2011. "Income and time related effects in EKC," Working Papers 201105, University of Ferrara, Department of Economics.
    24. Massimiliano Mazzanti & Antonio Musolesi, 2010. "Carbon Abatement Leaders and Laggards Non Parametric Analyses of Policy Oriented Kuznets Curves," Working Papers 2010.149, Fondazione Eni Enrico Mattei.
    25. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2020. "Heterogeneous impacts of regulatory policy stringency on the EU electricity Industry:A Bayesian shrinkage dynamic analysis," Energy Policy, Elsevier, vol. 142(C).
    26. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.
    27. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.
    28. Vaona, Andrea, 2010. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins," Kiel Working Papers 1580, Kiel Institute for the World Economy (IfW Kiel).

  21. Badi H. Baltagi & Georges Bresson & Alain Pirotte, 2003. "Fixed effects, random effects or Hausman Taylor?," Post-Print hal-04103115, HAL.

    Cited by:

    1. Chiara Burlina & Andres Rodriguez-Pose, 2021. "Alone and Lonely. The economic cost of solitude for regions in Europe," Papers in Evolutionary Economic Geography (PEEG) 2133, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2021.
    2. Rodríguez-Puello, Gabriel & Hernandez, Leonidas & Romero-Espinosa, Diana & Rowe, Francisco, 2024. "The disruptive long-term costs of international migration on subjective well-being," OSF Preprints ydbxu, Center for Open Science.
    3. Eric Evans Osei Opoku & Kingsley E. Dogah & Nana Kwabena Kufuor & Alex O. Acheampong, 2024. "The importance of human development in combating energy poverty," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(2), pages 1189-1209, March.
    4. Bulatovic, Iva & Papatheodorou, Andreas, 2023. "Civil aviation and tourism demand in Montenegro: A panel data approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 25-36.
    5. Roth, Victoria, 2021. "Talking is Silver, Doing is Gold? – The Influence of Corporate Social Responsibility on Corporate Financial Performance," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 637-672.
    6. Yi Xiang & Yuke Ding & Shaohua Yin, 2024. "Does Agricultural Science and Technological Innovation Always Boost Farmers’ Income? Evidence from China," Agriculture, MDPI, vol. 14(12), pages 1-19, November.
    7. Martin Paul Jr Tabe-Ojong & Jourdain C. Lokossou & Bisrat Gebrekidan & Hippolyte D. Affognon, 2023. "Adoption of climate-resilient groundnut varieties increases agricultural production, consumption, and smallholder commercialization in West Africa," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Vismaya Gangadharan & Lakshmi Padmakumari, 2024. "Fogging the firm performance: an empirical examination of the annual report readability in India," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(2), pages 211-226, June.
    9. Xudong Li & Ali Esfahbodi & Yufeng Zhang, 2024. "The Impact of Corporate Social Responsibility Implementation on Enterprises’ Financial Performance—Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 16(5), pages 1-21, February.
    10. Fiaz Ahmad Sulehri & Muhammad Rizwan & Ismail Senturk, 2022. "The Impact Of Intangible Assets And Firm-Specific Factors On Cash Flows: An Empirical Analysis Of Public Firms Listed On The Pakistan Stock Exchange," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(3), pages 16-26.
    11. Jennifer Syme & Henry An & Mohammad Torshizi, 2024. "Estimating the effect of time‐invariant characteristics in panel data: wheat adoption in Western Canada," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 828-851, March.

  22. Georges Bresson & Joyce Dargay & Jean-Loup Madre & Alain Pirotte, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Post-Print hal-04103120, HAL.

    Cited by:

    1. Barros, Victor & Cruz, Carlos Oliveira & Júdice, Tomás & Sarmento, Joaquim Miranda, 2021. "Is taxation being effectively used to promote public transport in Europe?," Transport Policy, Elsevier, vol. 114(C), pages 215-224.
    2. Elisabetta Venezia, 2007. "Factors influencing travellers. mode choices: case study of Bari," SERIES 0018, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2007.
    3. Guzman, Luis A. & Beltran, Carlos & Bonilla, Jorge & Gomez Cardona, Santiago, 2021. "BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 335-348.
    4. Stéphanie Souche, 2009. "Un exemple d'estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 759-779.
    5. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Post-Print hal-01533557, HAL.
    6. Philippe Gagnepain & Marc Ivaldi & Catherine Muller-Vibes, 2011. "The Industrial Organization of Competition in Local Bus Services," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 32, Edward Elgar Publishing.
    7. Bayart, Caroline & Bonnel, Patrick & Havet, Nathalie, 2018. "Daily (im)mobility behaviours in France: An application of hurdle models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 456-467.
    8. Filippini Massimo & Deb Kaushik, 2010. "Public bus transport demand elasticities in India," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1002, USI Università della Svizzera italiana.
    9. Stéphanie Souche, 2010. "Measuring the structural determinants of urban travel demand," Post-Print halshs-00578019, HAL.
    10. Hensher, David A., 2008. "Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice," Research in Transportation Economics, Elsevier, vol. 23(1), pages 23-29, January.
    11. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2004. "Economic and structural determinants of the demand for public transport: an analysis on a panel of French urban areas using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 269-285, May.
    12. Xiaohong Chen & Xiang Wang & Hua Zhang & Jia Li, 2014. "The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
    13. Elisabetta Venezia, 2009. "Determinants of the demand for urban transport: results of a case study," Working Papers 09_9, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    14. Wang, Zi-jia & Li, Xiao-hong & Chen, Feng, 2015. "Impact evaluation of a mass transit fare change on demand and revenue utilizing smart card data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 213-224.
    15. Han, Sun Sheng, 2010. "Managing motorization in sustainable transport planning: the Singapore experience," Journal of Transport Geography, Elsevier, vol. 18(2), pages 314-321.
    16. Gijsenberg, Maarten & Verhoef, Pieter, 2018. "Moving Forward," Research Report 2018003-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2021. "Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models," Transport Policy, Elsevier, vol. 105(C), pages 166-180.
    18. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2021. "Who uses green mobility? Exploring profiles in developed countries," Nülan. Deposited Documents 3570, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    19. Minarta, Ria Roida & Ko, Joonho, 2024. "What are the stimulants on transportation carbon dioxide emissions?: A nation-level analysis," Energy, Elsevier, vol. 296(C).
    20. Yaman, Firat & Offiaeli, Kingsley, 2022. "Is the price elasticity of demand asymmetric? Evidence from public transport demand," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 318-335.
    21. Desiderio Romero-Jordán & José Félix Sanz & Mercedes Burguillo, 2014. "Is it environmentally desirable to encourage public transport through taxes? Evidence for Spanish households," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-9, December.
    22. Rahman, Syed & Balijepalli, Chandra, 2016. "Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways," Transport Policy, Elsevier, vol. 48(C), pages 13-22.
    23. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2009. "Is the Mexico City metro an inferior good?," Transport Policy, Elsevier, vol. 16(1), pages 40-45, January.
    24. Zi-jia Wang & Feng Chen & Bo Wang & Jian-ling Huang, 2018. "Passengers’ response to transit fare change: an ex post appraisal using smart card data," Transportation, Springer, vol. 45(5), pages 1559-1578, September.
    25. Wallimann, Hannes & Blättler, Kevin & von Arx, Widar, 2023. "Do price reductions attract customers in urban public transport? A synthetic control approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    26. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    27. de Grange, Louis & González, Felipe & Muñoz, Juan Carlos & Troncoso, Rodrigo, 2013. "Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of Transantiago," Transport Policy, Elsevier, vol. 29(C), pages 178-185.
    28. Taylor, Brian D & Miller, Douglas & Iseki, Hiroyuki & Fink, Camille, 2008. "Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas," University of California Transportation Center, Working Papers qt5w9045hh, University of California Transportation Center.
    29. Deng, Haopeng & Li, Ye & Li, Wenxiang & Yu, Yuewu, 2016. "Urban transport social needs in China: Quantification with central government transit grant," Transport Policy, Elsevier, vol. 51(C), pages 126-139.
    30. Thøgersen, John, 2006. "Understanding repetitive travel mode choices in a stable context: A panel study approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(8), pages 621-638, October.
    31. George N. Botzoris, 2020. "Economic Crisis and its Impact on Sustainable Urban Transport," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 33-41.
    32. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    33. Rye, Tom & Scotney, David, 2004. "The factors influencing future concessionary bus patronage in Scotland and their implications for elsewhere," Transport Policy, Elsevier, vol. 11(2), pages 133-140, April.
    34. Tolcha, Tassew Dufera & Bråthen, Svein & Holmgren, Johan, 2020. "Air transport demand and economic development in sub-Saharan Africa: Direction of causality," Journal of Transport Geography, Elsevier, vol. 86(C).

  23. Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2002. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A6-4, International Conferences on Panel Data.

    Cited by:

    1. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
    2. Thomas Jobert & Alexandru Monahov & Anna Tykhonenko, 2015. "Domestic Credit in Times of Supervision: an Empirical Investigation of European Countries," Working Papers halshs-01295606, HAL.
    3. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    4. Andrea Vaona & Guido Ascari, 2012. "Regional Inflation Persistence: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 46(4), pages 509-523, June.
    5. Mr. Francesco Grigoli & Mr. Mario Mansilla & Martín Saldías, 2016. "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador," IMF Working Papers 2016/236, International Monetary Fund.
    6. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    7. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    8. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    9. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    10. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    11. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    12. Simona Bigerna & Maria Chiara D’Errico & Paolo Polinori, 2022. "Sustainable Power Generation in Europe: A Panel Data Analysis of the Effects of Market and Environmental Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 445-479, October.
    13. Axel Dreher & Tim Krieger, 2008. "Do Prices for Petroleum Products Converge in a Unified Europe with Non-Harmonized Tax Rates?," The Energy Journal, , vol. 29(1), pages 61-88, January.
    14. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
    15. Brücker, Herbert & Siliverstovs, Boriss, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute of Labor Economics (IZA).
    16. Sene, Seydina Ousmane, 2012. "Estimating the demand for gasoline in developing countries: Senegal," Energy Economics, Elsevier, vol. 34(1), pages 189-194.
    17. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    19. Fadzlan Sufian & Muhamed Zulkhibri Abdul Majid, 2009. "Bank efficiency and share prices in China: empirical evidence from a three-stage banking model," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(1), pages 23-47.
    20. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    21. Bajo-Buenestado, Raúl, 2016. "Evidence of asymmetric behavioral responses to changes in gasoline prices and taxes for different fuel types," Energy Policy, Elsevier, vol. 96(C), pages 119-130.
    22. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    23. Trapani, Lorenzo & Urga, Giovanni, 2009. "Optimal forecasting with heterogeneous panels: A Monte Carlo study," International Journal of Forecasting, Elsevier, vol. 25(3), pages 567-586, July.
    24. Andersen, Trude Berg & Nilsen, Odd Bjarte & Tveteras, Ragnar, 2011. "How is demand for natural gas determined across European industrial sectors?," Energy Policy, Elsevier, vol. 39(9), pages 5499-5508, September.
    25. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    26. Mücella Şahin & Turgut Ün, 2024. "Forecasting Performance Comparison With Panel Data Models: Environmental Kuznets Curve Analysis," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul Journal of Economics-Istanbul Iktisat Dergisi, vol. 0(40), pages 208-221, June.
    27. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    28. Chee-Keong Choong, 2012. "Does domestic financial development enhance the linkages between foreign direct investment and economic growth?," Empirical Economics, Springer, vol. 42(3), pages 819-834, June.
    29. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2004. "Economic and structural determinants of the demand for public transport: an analysis on a panel of French urban areas using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 269-285, May.
    30. Andrea Vaona, 2016. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins in the fourth Kondratieff wave," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 155-170, August.
    31. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    32. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    33. Curatola, Giuliano, 2017. "Optimal portfolio choice with loss aversion over consumption," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 345-358.
    34. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    35. Markus Höhne & Carsten Kampe & Anna Lejpras & Andreas Stephan, 2007. "Beschäftigungsprognosen auf Basis amtlicher Firmendaten als Instrument einer handlungsorientierten Politikberatung am Beispiel Brandenburg," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(3), pages 88-112.
    36. Lien, Kristin & Tveterås, Ragnar & Tveterås, Sigbjørn, 2009. "The structure of herring product demand in Russia," UiS Working Papers in Economics and Finance 2009/23, University of Stavanger.
    37. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
    38. Yuli Radev, 2012. "Empirical Analysis of Demand of Natural Gas by Households in Europe," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 154-183.
    39. Pock, Markus, 2010. "Gasoline demand in Europe: New insights," Energy Economics, Elsevier, vol. 32(1), pages 54-62, January.
    40. Massimiliano Mazzanti & Antonio Musolesi, 2020. "A Semiparametric Analysis of Green Inventions and Environmental Policies," SEEDS Working Papers 0920, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2020.
    41. Bettina Becker & Stephen Hall, 2013. "Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption," Economic Change and Restructuring, Springer, vol. 46(2), pages 183-202, May.
    42. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2019. "Nonparametric estimation of R&D international spillovers," Post-Print hal-02789474, HAL.
    43. González, Rosa Marina & Marrero, Gustavo A., 2012. "The effect of dieselization in passenger cars emissions for Spanish regions: 1998–2006," Energy Policy, Elsevier, vol. 51(C), pages 213-222.
    44. Zimmer, Anne & Koch, Nicolas, 2017. "Fuel consumption dynamics in Europe: Tax reform implications for air pollution and carbon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 22-50.
    45. Pock, Markus, 2007. "Gasoline and Diesel Demand in Europe: New Insights," Economics Series 202, Institute for Advanced Studies.
    46. Rosa M. González-Marrero & Rosa M. Lorenzo-Alegría & Gustavo A. Marrero, 2011. "Gasoline and Diesel Consumption for Road Transport in Spain: a Dynamic Panel Data Approach," Economic Reports 04-2011, FEDEA.
    47. Eberhardt, Markus & Helmers, Christian & Strauss, Hubert, 2010. "Do spillovers matter when estimating private returns to R&D?," Economic and Financial Reports 2010/1, European Investment Bank, Economics Department.
    48. Melo, Patricia C. & Ramli, Ahmad Razi, 2014. "Estimating fuel demand elasticities to evaluate CO2 emissions: Panel data evidence for the Lisbon Metropolitan Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 30-46.
    49. Eshagh Mansourkiaee, 2023. "Estimating energy demand elasticities for gas exporting countries: a dynamic panel data approach," SN Business & Economics, Springer, vol. 3(1), pages 1-28, January.
    50. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    51. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.
    52. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.
    53. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.
    54. Mr. Jan Kees Martijn & Markus Berndt & Abu Shonchoy & Mr. Paolo Dudine, 2008. "The Spending and Absorption of Aid in PRGF Supported Programs," IMF Working Papers 2008/237, International Monetary Fund.
    55. Vaona, Andrea, 2010. "A nonparametric panel data approach to the cyclical dynamics of price-cost margins," Kiel Working Papers 1580, Kiel Institute for the World Economy (IfW Kiel).
    56. Andrea Orame, 2023. "Bank Lending and the European Debt Crisis: Evidence from a New Survey," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 243-300, March.

Articles

  1. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    See citations under working paper version above.
  2. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2019. "Carbon Dioxide Emissions and Economic Activities: A Mean Field Variational Bayes Semiparametric Panel Data Model with Random Coefficients," Annals of Economics and Statistics, GENES, issue 134, pages 43-77.
    See citations under working paper version above.
  3. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2018. "Robust linear static panel data models using ε-contamination," Journal of Econometrics, Elsevier, vol. 202(1), pages 108-123.
    See citations under working paper version above.
  4. Bresson, Georges & Etienne, Jean-Michel & Mohnen, Pierre, 2016. "How Important Is Innovation? A Bayesian Factor-Augmented Productivity Model Based On Panel Data," Macroeconomic Dynamics, Cambridge University Press, vol. 20(8), pages 1987-2009, December.
    See citations under working paper version above.
  5. Badi H. Baltagi & Georges Bresson & Jean‐Michel Etienne, 2015. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo‐Panel Model with Nested Random Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 509-528, April.
    See citations under working paper version above.
  6. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2012. "Forecasting with spatial panel data," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3381-3397.
    See citations under working paper version above.
  7. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    See citations under working paper version above.
  8. Georges Bresson & Kinvi Logossah, 2011. "Crowding-Out Effects of Cruise Tourism on Stay-Over Tourism in the Caribbean: Non-Parametric Panel Data Evidence," Tourism Economics, , vol. 17(1), pages 127-158, February.

    Cited by:

    1. Jordan, Evan J. & Vogt, Christine A. & DeShon, Richard P., 2015. "A stress and coping framework for understanding resident responses to tourism development," Tourism Management, Elsevier, vol. 48(C), pages 500-512.
    2. Juan Gabriel Brida & Daniel Bukstein & Emiliano Tealde, 2012. "Exploring cruise ship passengers’ spending patterns in two Uruguayan ports of call," Documentos de Investigación 76, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    3. Bonilla-Priego, Mª Jesús & Font, Xavier & Pacheco-Olivares, Mª del Rosario, 2014. "Corporate sustainability reporting index and baseline data for the cruise industry," Tourism Management, Elsevier, vol. 44(C), pages 149-160.

  9. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    See citations under working paper version above.
  10. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    See citations under working paper version above.
  11. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2009. "Testing the fixed effects restrictions? A Monte Carlo study of Chamberlain's Minimum Chi-Squared test," Statistics & Probability Letters, Elsevier, vol. 79(10), pages 1358-1362, May.
    See citations under working paper version above.
  12. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    See citations under working paper version above.
  13. Myriam Abdelmoula & Georges Bresson, 2007. "Spatial and Technological Spillovers in European Patenting Activities: a Dynamic Count Panel Data Model," Annals of Economics and Statistics, GENES, issue 87-88, pages 167-194.

    Cited by:

    1. Jinwen Qiu & Wenjian Liu & Ning Ning, 2020. "Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?," Networks and Spatial Economics, Springer, vol. 20(1), pages 179-208, March.
    2. Maier, Gunther & Kurka, Bernhard & Trippl, Michaela, 2007. "Knowledge Spillover Agents and Regional Development: Spatial Distribution and Mobility of Star Scientists," Papers DYNREG17, Economic and Social Research Institute (ESRI).
    3. Michaela Trippl & Gunther Maier, 2007. "Knowledge Spillover Agents and Regional Development," SRE-Disc sre-disc-2007_01, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    4. Jinwen Qiu & Wenjian Liu & Ning Ning, 2018. "Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?," Papers 1801.06936, arXiv.org, revised Mar 2018.
    5. Yoshitsugu Kitazawa, 2012. "An improved theoretical ground for the linear feedback model and a new indicator," Discussion Papers 58, Kyushu Sangyo University, Faculty of Economics.

  14. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2006. "Joint LM test for homoskedasticity in a one-way error component model," Journal of Econometrics, Elsevier, vol. 134(2), pages 401-417, October.
    See citations under working paper version above.
  15. Badi Baltagi & Georges Bresson & Alain Pirotte, 2005. "Adaptive Estimation Of Heteroskedastic Error Component Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 39-58.
    See citations under working paper version above.
  16. Badi H. Baltagi & Georges Bresson & Alain Pirotte, 2004. "Tobin q: Forecast performance for hierarchical Bayes, shrinkage, heterogeneous and homogeneous panel data estimators," Empirical Economics, Springer, vol. 29(1), pages 107-113, January.
    See citations under working paper version above.
  17. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2004. "Economic and structural determinants of the demand for public transport: an analysis on a panel of French urban areas using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 269-285, May.

    Cited by:

    1. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2).
    2. Konečný Vladimír & Brídziková Mária, 2020. "The Impact of the State of Emergency on the Supply of Services and Passenger Demand for Public Transport," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 11(2), pages 56-67, November.
    3. Stéphanie Souche, 2009. "Un exemple d'estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 759-779.
    4. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-04362193, HAL.
    5. Stéphanie Souche, 2010. "Measuring the structural determinants of urban travel demand," Post-Print halshs-00578019, HAL.
    6. Germa Bel & Daniel Albalate, 2009. "What shapes local public transportation in Europe? Economics, Mobility, Institutions, and Geography," RSCAS Working Papers 2009/34, European University Institute.
    7. Ahmad Termida, Nursitihazlin & Susilo, Yusak O. & Franklin, Joel P., 2016. "Observing dynamic behavioural responses due to the extension of a tram line by using panel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 78-95.
    8. Georgios Georgiadis & Ioannis Politis & Panagiotis Papaioannou, 2020. "How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    9. Shyr, Oliver F. & Andersson, David Emanuel & Cheng, Yu-Hsuan & Hsiao, Yu-Hsuan, 2017. "What explains rapid transit use? Evidence from 97 urbanized areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 162-169.
    10. T. M. Fullerton & A. G. Walke, 2013. "Public transportation demand in a border metropolitan economy," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3922-3931, September.
    11. Krzysztof Grzelec & Aleksander Jagiełło, 2020. "The Effects of the Selective Enlargement of Fare-Free Public Transport," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    12. Minarta, Ria Roida & Ko, Joonho, 2024. "What are the stimulants on transportation carbon dioxide emissions?: A nation-level analysis," Energy, Elsevier, vol. 296(C).
    13. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    14. Temme, Dirk & Paulssen, Marcel & Dannewald, Till, 2007. "Integrating latent variables in discrete choice models: How higher-order values and attitudes determine consumer choice," SFB 649 Discussion Papers 2007-065, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    15. Cordera, Ruben & Canales, Cesar & dell’Olio, Luigi & Ibeas, Angel, 2015. "Public transport demand elasticities during the recessionary phases of economic cycles," Transport Policy, Elsevier, vol. 42(C), pages 173-179.
    16. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
    17. Wallimann, Hannes & Blättler, Kevin & von Arx, Widar, 2023. "Do price reductions attract customers in urban public transport? A synthetic control approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    18. Setareh Ataian, 2011. "Analysis of households’ urban transportation budget in Tehran [Analyse des dépenses en transport urbain des ménages à Téhéran]," Post-Print halshs-00733368, HAL.
    19. Yusuke Sakata & Junyi Shen & Yoshizo Hashimoto, 2006. "The Influence of Environmental Deterioration and Network Improvement on Transport Modal Choice," Discussion Papers in Economics and Business 06-04, Osaka University, Graduate School of Economics.
    20. Thøgersen, John, 2006. "Understanding repetitive travel mode choices in a stable context: A panel study approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(8), pages 621-638, October.

  18. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    See citations under working paper version above.
  19. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2003. "Fixed effects, random effects or Hausman-Taylor?: A pretest estimator," Economics Letters, Elsevier, vol. 79(3), pages 361-369, June.

    Cited by:

    1. Rodríguez-Pose, Andrés & Von Berlepsch, Viola, 2020. "Migration-prone and migration-averse places. Path dependence in long-term migration to the US," CEPR Discussion Papers 14566, C.E.P.R. Discussion Papers.
    2. Chiara Burlina & Andres Rodriguez-Pose, 2021. "Alone and Lonely. The economic cost of solitude for regions in Europe," Papers in Evolutionary Economic Geography (PEEG) 2133, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2021.
    3. Yugang He & Chunlei Wang, 2022. "Does Buddhist Tourism Successfully Result in Local Sustainable Development?," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    4. Park, Sangjin & Yang, Jae-Suk, 2021. "Relationships between capital flow and economic growth: A network analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    5. Bijapur, Mohan & Croci, Manuela & Zaidi, Rida, 2012. "Do asset regulations impede portfolio diversification? evidence from European life insurance funds," LSE Research Online Documents on Economics 56618, London School of Economics and Political Science, LSE Library.
    6. Lorenz, Olga & Goerke, Laszlo, 2015. "Commuting and Sickness Absence," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113173, Verein für Socialpolitik / German Economic Association.
    7. Giovanni Millo, 2022. "The generalized spatial random effects model in R," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-18, December.
    8. Ender Demir & Giray Gozgor & Rangan Gupta & Huseyin Kaya, 2018. "Effects of Geopolitical Risks on Trade Flows: Evidence from the Gravity Model," Working Papers 201835, University of Pretoria, Department of Economics.
    9. Kafle, Kashi & Jolliffe, Dean & Winter-Nelson, Alex, 2017. "Do Different Types of Assets Have Differential Effects on Child Education? Evidence from Tanzania," IZA Discussion Papers 11233, Institute of Labor Economics (IZA).
    10. Walid Oueslati & Seraphim Alvanides & Guy Garrod, 2015. "Determinants of urban sprawl in European cities," Urban Studies, Urban Studies Journal Limited, vol. 52(9), pages 1594-1614, July.
    11. Shastri, Shruti, 2022. "The impact of infectious diseases on remittances inflows to India," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 83-95.
    12. Clémence Vergne, 2011. "Turnout in Developing Countries: The Effect of Mass Media on National Voter Participation," Working Papers halshs-00553622, HAL.
    13. de Melo, Jaime & Carrère, Céline & Wilson, John, 2009. "The Distance Effect and the Regionalization of the Trade of Low-Income Countries," CEPR Discussion Papers 7458, C.E.P.R. Discussion Papers.
    14. Tammuz Alraheb & Amine Tarazi, 2018. "Local Versus International Crises, Foreign Subsidiaries and Bank Stability: Evidence from the MENA Region," Post-Print hal-01558246, HAL.
    15. Reinhold Kosfeld & Timo Mitze, 2020. "The role of R&D-intensive clusters for regional competitiveness," MAGKS Papers on Economics 202001, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    16. Chowdhury, Mohammad Tarequl Hasan & Rahman, Muhammad Habibur & Ulubasoglu, Mehmet Ali, 2018. "Geography Dictates, But How? Topography, Spatial Concentration and Sectoral Diversification," MPRA Paper 87245, University Library of Munich, Germany.
    17. Byrne, Paul & Nizovtsev, Dmitri, 2017. "Exploring the effects of state differences in alcohol retail restrictions," International Review of Law and Economics, Elsevier, vol. 50(C), pages 15-24.
    18. Inmaculada Garc�a Mainar & V�ctor M. Montuenga G�mez, 2004. "Returns to education and to experience within the EU: are there differences between wage earners and the self-employed?," Documentos de Trabajo dt2004-08, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    19. Insook Lee, 2022. "Does Political Polarization Lead to a Rise in Government Debt?," Hacienda Pública Española / Review of Public Economics, IEF, vol. 241(2), pages 3-25, June.
    20. Yushi Yoshida & Hiro Ito, 2004. "How do the Asian Economies Compete with Japan in the US Market, China Exceptional? A Triangular Trade Approach," Discussion Papers 18, Kyushu Sangyo University, Faculty of Economics.
    21. Inmaculada García & José Molina & María Navarro, 2007. "How Satisfied are Spouses with their Leisure Time? Evidence from Europe," Journal of Family and Economic Issues, Springer, vol. 28(4), pages 546-565, December.
    22. Thi Hanh Vu, 2013. "International Export Flows of Vietnam :A Gravity Model Approach," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 56(1), pages 83-108.
    23. Yeshineh, Alekaw Kebede, 2016. "Determinants and Potentials of Foreign Trade in Ethiopia: A Gravity Model Analysis," MPRA Paper 74509, University Library of Munich, Germany.
    24. Larsen, Peter H. & LaCommare, Kristina H. & Eto, Joseph H. & Sweeney, James L., 2016. "Recent trends in power system reliability and implications for evaluating future investments in resiliency," Energy, Elsevier, vol. 117(P1), pages 29-46.
    25. Mick Silver, 2009. "The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations," IMF Working Papers 2009/271, International Monetary Fund.
    26. Andrés Rodríguez-Pose & Tobias D. Ketterer, 2012. "Do Local Amenities Affect The Appeal Of Regions In Europe For Migrants?," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 535-561, October.
    27. Elisabeth Christen, 2012. "Time zones matter: The impact of distance and time zones on services trade," Working Papers 2012-14, Faculty of Economics and Statistics, Universität Innsbruck.
    28. Eliana Baici & Giorgia Casalone, 2005. "Has human capital accounted for regional economic growth in Italy? A panel analysis on the 1980-2001 period," ERSA conference papers ersa05p251, European Regional Science Association.
    29. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    30. Kashi Kafle & Rui Benfica & Paul Winters, 2020. "Does relative deprivation induce migration? Evidence from Sub‐Saharan Africa," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 999-1019, May.
    31. Djiofack-Zebaze, Calvin & Keck, Alexander, 2009. "Telecommunications Services in Africa: The Impact of WTO Commitments and Unilateral Reform on Sector Performance and Economic Growth," World Development, Elsevier, vol. 37(5), pages 919-940, May.
    32. Breusch, Trevor & Ward, Michael B. & Nguyen, Hoa Thi Minh & Kompas, Tom, 2011. "On the Fixed-Effects Vector Decomposition," Political Analysis, Cambridge University Press, vol. 19(2), pages 123-134, April.
    33. Sergi Jiménez-Martín & José Labeaga & Maite Martínez-Granado, 2004. "An empirical analysis of the demand for physician services across the European Union," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 5(2), pages 150-165, May.
    34. Timo Mitze, 2010. "Estimating Gravity Models of International Trade with Correlated Time-Fixed Regressors: To IV or not IV?," EERI Research Paper Series EERI_RP_2010_22, Economics and Econometrics Research Institute (EERI), Brussels.
    35. Lepetit, L. & Meslier, C. & Strobel, F. & Wardhana, L., 2018. "Bank dividends, agency costs and shareholder and creditor rights," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 93-111.
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    See citations under working paper version above.
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    26. 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.
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    37. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
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  22. Bresson, G & Kramarz, F & Sevestre, P, 1992. "Heterogeneous Labor and the Dynamics of Aggregate Labor Demand: Some Estimations Using Panel Data," Empirical Economics, Springer, vol. 17(1), pages 153-168.

    Cited by:

    1. Athanasios Lapatinas, 2015. "Multinational versus National Firms on Labour Adjustment Costs: A Structural Approach," Journal of Labor Research, Springer, vol. 36(4), pages 427-441, December.
    2. Vermeulen, Philip, 2006. "Employment stickiness in small manufacturing firms," Working Paper Series 640, European Central Bank.
    3. 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.
    4. Mr. Michael Funke & Mr. Felix FitzRoy, 1995. "Skills, Wages, and Employment in East and West Germany," IMF Working Papers 1995/004, International Monetary Fund.
    5. Boyer, Robert, 1998. "Le lien salaire-emploi dans la théorie de la régulation. Autant de relations que de configurations institutionnelles," CEPREMAP Working Papers (Couverture Orange) 9814, CEPREMAP.
    6. Gabor Korosi, 2002. "Labour Adjustment and Efficiency in Hungary," Budapest Working Papers on the Labour Market 0204, Institute of Economics, Centre for Economic and Regional Studies.
    7. Lucia Foster, 1999. "On The Sources And Size Of Employment Adjustment Costs," Working Papers 99-7, Center for Economic Studies, U.S. Census Bureau.
    8. Hassink, W.H.J. & Broersma, L., 1993. "Labour demand and job-to-job movement : macro-consequences as a result from micro-economic behaviour," Serie Research Memoranda 0001, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    9. Lapatinas, Athanasios, 2009. "Labour adjustment costs: Estimation of a dynamic discrete choice model using panel data for Greek manufacturing firms," Labour Economics, Elsevier, vol. 16(5), pages 521-533, October.
    10. Ide Kearney, 1997. "Shifts in the Demand for Skilled Labour in the Irish Manufacturing Sector: 1979-1990," Papers WP083, Economic and Social Research Institute (ESRI).
    11. Robert Boyer, 1999. "Le lien salaire-emploi dans la théorie de la régulation. Autant de relations que de configurations institutionnelles," Cahiers d'Économie Politique, Programme National Persée, vol. 34(1), pages 101-161.
    12. Brigitte Dormont, 1994. "Quelle est l'influence du coût du travail sur l'emploi ?," Revue Économique, Programme National Persée, vol. 45(3), pages 399-414.
    13. Cees Gorter & Wolter Hassink & Peter Nijkamp & Eric Pels & Cees Gorter & Wolter Hassink & Peter Nijkamp & Eric Pels, 2004. "On the Endogeneity of Output in Dynamic Labour-Demand Models," Chapters, in: Location, Travel and Information Technology, chapter 9, pages 177-192, Edward Elgar Publishing.
    14. Arango, Luis E. & Castellani, Francesca & Obando, Nataly, 2019. "Heterogeneous labour demand in the Colombian manufacturing sector," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-1.
    15. Alonso-Borrego, Cesar, 1998. "Demand for labour inputs and adjustment costs: evidence from Spanish manufacturing firms," Labour Economics, Elsevier, vol. 5(4), pages 475-497, December.
    16. Peter Dawkins, 1998. "Solutions to Australian Unemployment: Three Perspectives - Solutions to Unemployment and Avoiding the 'Diabolical Trade-off': A Discussion," RBA Annual Conference Volume (Discontinued), in: Guy Debelle & Jeff Borland (ed.),Unemployment and the Australian Labour Market, Reserve Bank of Australia.
    17. 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.
    18. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2011. "Distributional Consequences of Labor-demand Shocks: The 2008-09 Recession in Germany," CESifo Working Paper Series 3403, CESifo.
    19. Ali-Yrkkö, Jyrki, 2005. "Impact of Public R&D Financing on Employment," Discussion Papers 980, The Research Institute of the Finnish Economy.
    20. Bargain, O. & Herwig Immervoll & Andreas Peichl & Siegloch, S., 2010. "GINI DP 1: Distributional Consequences of Labor-Demand Adjustments to a Downturn. A Model-Based Approach with Application to Germany 2008-09," GINI Discussion Papers 1, AIAS, Amsterdam Institute for Advanced Labour Studies.
    21. Brigitte Dormont, 1997. "L'influence du coût salarial sur la demande de travail," Économie et Statistique, Programme National Persée, vol. 301(1), pages 95-109.
    22. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2012. "Distributional consequences of labor-demand shocks: the 2008–2009 recession in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 118-138, February.

  23. Georges Bresson & Claude Mathieu, 1992. "Différenciation horizontale et verticale des produits : Une application à l'industrie automobile," Annals of Economics and Statistics, GENES, issue 27, pages 115-147.

    Cited by:

    1. Guillaume Gaulier & Séverine Haller, 2000. "The Convergence of Automobile Prices in the European Union: an Empirical Analysis for the Period 1993-1999," Working Papers 2000-14, CEPII research center.

Chapters

  1. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    See citations under working paper version above.
  2. Badi H. Baltagi & Georges Bresson, 2012. "A Robust Hausman–Taylor Estimator," Advances in Econometrics, in: Essays in Honor of Jerry Hausman, pages 175-214, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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