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Citations for "Minimum MSE estimation of a regression model with fixed effects from a series of cross-sections"

by Verbeek, Marno & Nijman, Theo

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  1. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
  2. Charles Ackah, & Oliver Morrissey, & Simon Appleton, . "Who Gains from Trade Protection in Ghana? A Household-Level Analysis," Discussion Papers 07/02, University of Nottingham, CREDIT.
  3. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
  4. Tiziana Laureti, 2014. "Life satisfaction and environmental conditions in Italy: a pseudo-panel approach," Discussion Papers 2014/192, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  5. François Gardes & Greg J, Duncan & Patrice Gaubert & Christophe Starzec, 2002. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption : The Case of American and Polish Data," Working Papers 2002-02, Centre de Recherche en Economie et Statistique.
  6. Huang, Biao, 2007. "The Use of Pseudo Panel Data for Forecasting Car Ownership," MPRA Paper 7086, University Library of Munich, Germany.
  7. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
  8. Mora, Jhon James & Muro, Juan, 2014. "Consistent estimation in pseudo panels in the presence of selection bias," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 8, pages 1-25.
  9. repec:hal:journl:hal-00122817 is not listed on IDEAS
  10. Rozana Himaz & Harsha Aturupane, 2012. "Returns to Education in Sri Lanka: A Pseudo Panel Approach," Economics Series Working Papers 615, University of Oxford, Department of Economics.
  11. David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, 08.
  12. Balcazar Salazar,Carlos Felipe, 2015. "Long-run effects of democracy on income inequality : evidence from repeated cross-sections," Policy Research Working Paper Series 7153, The World Bank.
  13. Nadja Dwenger & Viktor Steiner, 2014. "Financial leverage and corporate taxation: evidence from German corporate tax return data," International Tax and Public Finance, Springer, vol. 21(1), pages 1-28, February.
  14. Maresa Sprietsma, 2012. "Computers as pedagogical tools in Brazil: a pseudo-panel analysis," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 19-32, November.
  15. Koeniger, Winfried, 2001. "Labor and Financial Market Interactions: The Case of Labor Income Risk and Car Insurance in the UK 1969-95," IZA Discussion Papers 240, Institute for the Study of Labor (IZA).
  16. Devereux, Paul J., 2007. "Improved Errors-in-Variables Estimators for Grouped Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 278-287, July.
  17. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
  18. Grün, Carola, 2009. "Racial and gender wage differentials in South Africa: What can cohort data tell?," Proceedings of the German Development Economics Conference, Frankfurt a.M. 2009 11, Verein für Socialpolitik, Research Committee Development Economics.
  19. Roxana Gutiérrez-Romero, 2012. "Determinants of Spanish Firms' Life Cycle and Job Creation: A Pseudo-Panel Approach," Working Papers wpdea1209, Department of Applied Economics at Universitat Autonoma of Barcelona.
  20. Paul J. Devereux, 2007. "Small-sample bias in synthetic cohort models of labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
  21. Lederman, Daniel & Rojas, Diego, 2014. "Export shocks and the volatility of returns to schooling : evidence from twelve Latin American economies," Policy Research Working Paper Series 7144, The World Bank.
  22. David J. McKenzie, 2006. "Disentangling Age, Cohort and Time Effects in the Additive Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 473-495, 08.
  23. Inkmann, Joachim & Klotz, Stefan & Pohlmeier, Winfried, 1998. "Growing into Work - Pseudo Panel Data Evidence on Labor Market Entrance in Germany," ZEW Discussion Papers 98-47, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  24. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
  25. Rosati, Nicoletta, 2013. "Efficiency of repeated-cross-section estimators in fixed-effects models," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1770-1775.
  26. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
  27. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
  28. Warunsiri, Sasiwimon & McNown, Robert, 2010. "The Returns to Education in Thailand: A Pseudo-Panel Approach," World Development, Elsevier, vol. 38(11), pages 1616-1625, November.
  29. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.
  30. David J. McKenzie, 2001. "The Household Response to the Mexican Peso Crisis," Working Papers 01017, Stanford University, Department of Economics.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.