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Small sample bias in synthetic cohort models of labor supply

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Cited by:

  1. José Miguel Molina Fernández & Rodrigo Gonzáles Zuazo, 2018. "Exposición al comercio internacional e ingresos laborales en Bolivia: evidencia al nivel del trabajador," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB), issue 31, pages 10-31.
  2. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers 40/13, Institute for Fiscal Studies.
  3. Bussolo, Maurizio & Schotte, Simone & Matytsin, Mikhail, 2017. "Accounting for the bias against the life-cycle hypothesis in survey data: An example for Russia," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 185-207.
  4. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
  5. Alexey Zamnius & Andrey Polbin, 2021. "Estimating intertemporal elasticity of substitution of labor supply for married women in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 23-48.
  6. Moundir Lassassi & Aysit Tansel, 2020. "Female labor force participation in five selected MENA countries: An age-period-cohort analysis," Koç University-TUSIAD Economic Research Forum Working Papers 2018, Koc University-TUSIAD Economic Research Forum.
  7. Daniel A. Ackerberg & Paul J. Devereux, 2009. "Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 351-362, May.
  8. Böhringer, Christoph & García-Muros, Xaquín & González-Eguino, Mikel, 2022. "Who bears the burden of greening electricity?," Energy Economics, Elsevier, vol. 105(C).
  9. John V. Winters, 2020. "In-State College Enrollment and Later Life Location Decisions," Journal of Human Resources, University of Wisconsin Press, vol. 55(4), pages 1400-1426.
  10. Brian Colgan, 2023. "EU-SILC and the potential for synthetic panel estimates," Empirical Economics, Springer, vol. 64(3), pages 1247-1280, March.
  11. 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.
  12. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
  13. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
  14. Rich, Jeppe & Myhrmann, Marcus Skyum & Mabit, Stefan Eriksen, 2023. "Our children cycle less - A Danish pseudo-panel analysis," Journal of Transport Geography, Elsevier, vol. 106(C).
  15. Dostie, Benoit & Kromann, Lene, 2012. "Labour Supply and Taxes: New Estimates of the Responses of Wives to Husbands' Wages," IZA Discussion Papers 6392, IZA Network @ LISER.
  16. Moundir Lassasi & Aysit Tansel, 2020. "FEMALE LABOR FORCE PARTICIPATION IN FIVE SELECTED MENA COUNTRIES: AN AGE- PERIOD-COHORT ANALYSIS (Algeria, Egypt, Jordan, Palestine and Tunisia)," ERC Working Papers 2002, ERC - Economic Research Center, Middle East Technical University, revised Oct 2020.
  17. 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.
  18. Sidorkin, Oleg & Vorobyev, Dmitriy, 2018. "Political cycles and corruption in Russian regions," European Journal of Political Economy, Elsevier, vol. 52(C), pages 55-74.
  19. Barzin, Samira & D'Costa, Sabine & Graham, Daniel J., 2018. "A pseudo – panel approach to estimating dynamic effects of road infrastructure on firm performance in a developing country context," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 20-34.
  20. W.F. Maloney & D. Lederman & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Publications - Reports 23575, The World Bank Group.
  21. Hou, Feng & Lu, Yuqian & Morissette, René, 2009. "Marriage, Cohabitation and Women’s Response to Changes in the Male Wage Structure," CLSSRN working papers clsrn_admin-2009-45, Vancouver School of Economics, revised 30 Aug 2009.
  22. Feng Hou, 2014. "Keep Up with the Joneses or Keep on as Their Neighbours: Life Satisfaction and Income in Canadian Urban Neighbourhoods," Journal of Happiness Studies, Springer, vol. 15(5), pages 1085-1107, October.
  23. René Morissette & Feng Hou, 2008. "Does the labour supply of wives respond to husbands' wages? Canadian evidence from micro data and grouped data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(4), pages 1185-1210, November.
  24. Klaus Friesenbichler, 2014. "EU Accession, Domestic Market Competition and Total Factor Productivity. Firm Level Evidence," WIFO Working Papers 492, WIFO.
  25. Klaus S. Friesenbichler, 2020. "Does EU-accession affect domestic market structures and firm level productivity?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 343-364, May.
  26. Ana Flávia Machado & André Braz Golgher & Sibelle Diniz & Luiz Carlos Day Gama, 2017. "Consumption of cultural goods and services and time allocation in Brazil [Consumption of cultural goods and services and time allocation in Brazil]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(1), pages 35-63, January-A.
  27. Lu, Yuqian & Chan, Winnie & Morissette, Rene, 2014. "Wages, Youth Employment, and School Enrollment: Recent Evidence from Increases in World Oil Prices," Analytical Studies Branch Research Paper Series 2014353e, Statistics Canada, Analytical Studies Branch.
  28. 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.
  29. René Morissette & Ping Ching Winnie Chan & Yuqian Lu, 2015. "Wages, Youth Employment, and School Enrollment: Recent Evidence from Increases in World Oil Prices," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 222-253.
  30. 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.
  31. Bauer,Jan Michael & Levin,Victoria & Munoz Boudet,Ana Maria & Nie,Peng & Sousa-Poza,Alfonso, 2015. "Subjective well-being across the lifespan in Europe and Central Asia," Policy Research Working Paper Series 7378, The World Bank.
  32. Gómez Soler, Silvia C., 2016. "Educational achievement at schools: Assessing the effect of the civil conflict using a pseudo-panel of schools," International Journal of Educational Development, Elsevier, vol. 49(C), pages 91-106.
  33. 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.
  34. Richard Duhautois & Fabrice Gilles, 2013. "Payroll tax reductions and job flows in France," Working Papers hal-01006652, HAL.
  35. Anti, Sebastian, 2021. "Land grabs and labor in Cambodia," Journal of Development Economics, Elsevier, vol. 149(C).
  36. Roberto González & Hector Sala, 2015. "The Frisch Elasticity in the Mercosur Countries: A Pseudo-Panel Approach," Development Policy Review, Overseas Development Institute, vol. 33(1), pages 107-131, January.
  37. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2018. "Labour Supply of Married Women in Thailand: 1985–2016," PIER Discussion Papers 88, Puey Ungphakorn Institute for Economic Research.
  38. Ren頍orissette & Yuqian Lu & Feng Hou, 2012. "Marriage, cohabitation and women's response to changes in the male wage structure," Applied Economics, Taylor & Francis Journals, vol. 44(19), pages 2499-2516, July.
  39. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
  40. Jhon James Mora & Juan Muro, 2017. "Dynamic Effects of the Minimum Wage on Informality in Colombia," LABOUR, CEIS, vol. 31(1), pages 59-72, March.
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