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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. 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.
  3. 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.
  4. Charles Ackah, & Oliver Morrissey, & Simon Appleton, "undated". "Who Gains from Trade Protection in Ghana? A Household-Level Analysis," Discussion Papers 07/02, University of Nottingham, CREDIT.
  5. Paweenawat, Sasiwimon Warunsiri & McNown, Robert, 2014. "The determinants of income inequality in Thailand: A synthetic cohort analysis," Journal of Asian Economics, Elsevier, vol. 31, pages 10-21.
  6. Rene Segers & Philip Hans Franses, 2014. "Panel design effects on response rates and response quality," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 1-24, 02.
  7. 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.
  8. Kristen Monaco & Steven Yamarik, 2015. "Are there human capital externalities in U.S. states? Evidence from the Current Population Survey," Economics Bulletin, AccessEcon, vol. 35(4), pages 2345-2362.
  9. 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.
  10. repec:hal:journl:hal-00122817 is not listed on IDEAS
  11. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
  12. Huang, Biao, 2007. "The Use of Pseudo Panel Data for Forecasting Car Ownership," MPRA Paper 7086, University Library of Munich, Germany.
  13. 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.
  14. 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.
  15. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
  16. Juárez-Torres, Miriam, 2013. "The Impact of Food Price Shocks on the Consumption and Nutritional Patterns of Mexican Households," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150636, Agricultural and Applied Economics Association.
  17. 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.
  18. 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.
  19. 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).
  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. 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 (IfW), vol. 8, pages 1-25.
  22. 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.
  23. 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.
  24. Nadja Dwenger & Viktor Steiner, 2014. "Financial leverage and corporate taxation: evidence from German corporate tax return data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(1), pages 1-28, February.
  25. 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.
  26. D. Lederman & W.F. Maloney & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Other Operational Studies 23575, The World Bank.
  27. 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.
  28. Carlos Felipe Balcázar, 2016. "Long-run effects of democracy on income inequality in Latin America," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(3), pages 289-307, September.
  29. Jamal, Haroon, 2015. "Private Returns to Education in Pakistan: A Statistical Investigation," MPRA Paper 70640, University Library of Munich, Germany.
  30. 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.
  31. Rozana Himaz & Harsha Aturupane, 2016. "Returns to education in Sri Lanka: a pseudo-panel approach," Education Economics, Taylor & Francis Journals, vol. 24(3), pages 300-311, June.
  32. 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.
  33. repec:dgr:rugccs:200009 is not listed on IDEAS
  34. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.
  35. Hippolyte D'Albis & Ikpidi Badji, 2017. "Les inégalités de niveaux de vie entre les générations en France," Post-Print halshs-01524882, HAL.
  36. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
  37. Stutzman, Sarah A., 2016. "U.S. Farm Capital Investment 1996-2013: Differences by Farm Size and Operator Primary Occupation," Dissertations-Doctoral 235179, AgEcon Search.
  38. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
  39. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
  40. David J. McKenzie, 2001. "The Household Response to the Mexican Peso Crisis," Working Papers 01017, Stanford University, Department of Economics.
  41. Rosati, Nicoletta, 2013. "Efficiency of repeated-cross-section estimators in fixed-effects models," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1770-1775.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.