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Estimating Intergenerational Mobility with Incomplete Data: Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures

Listed author(s):
  • Emran, M. Shahe
  • Shilpi, Forhad

Most of the household surveys available in developing countries suffer from sample truncation because coresidency is used to define household membership. This paper provides evidence on truncation bias in the rank-based relative and absolute mobility estimates in coresident samples, and compares with the bias in intergenerational regression coefficient (IGRC) and intergenerational correlation (IGC). Using surveys from Bangladesh and India that include non-resident children, we find that the slope estimates are biased downward, while the intercept estimates are biased upward, but expected years of schooling conditional on parental education are overestimated in coresident samples. The downward bias in rank correlation is much smaller than that in IGRC, and comparable to that in IGC. The upward bias in the intercept is the largest in the regression used for IGC. Truncation bias in rank-based absolute mobility estimates is the lowest in most cases. The results add to an emerging body of evidence that the rank-based measures are more robust than the widely-used IGRC and IGC in estimating intergenerational mobility with incomplete data.

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File URL: https://mpra.ub.uni-muenchen.de/80724/9/MPRA_paper_80724.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 80724.

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Date of creation: 08 Aug 2017
Handle: RePEc:pra:mprapa:80724
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  1. Neidhöfer, Guido, 2016. "Intergenerational mobility and the rise and fall of inequality: Lessons from Latin America," Discussion Papers 2016/3, Free University Berlin, School of Business & Economics.
  2. Hausman, Jerry A & Wise, David A, 1977. "Social Experimentation, Truncated Distributions, and Efficient Estimation," Econometrica, Econometric Society, vol. 45(4), pages 919-938, May.
  3. Miles Corak & Andrew Heisz, 1999. "The Intergenerational Earnings and Income Mobility of Canadian Men: Evidence from Longitudinal Income Tax Data," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 504-533.
  4. Emran, M. Shahe & Shilpi, Forhad, 2015. "Gender, Geography, and Generations: Intergenerational Educational Mobility in Post-Reform India," World Development, Elsevier, vol. 72(C), pages 362-380.
  5. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
  6. Hertz Tom & Jayasundera Tamara & Piraino Patrizio & Selcuk Sibel & Smith Nicole & Verashchagina Alina, 2008. "The Inheritance of Educational Inequality: International Comparisons and Fifty-Year Trends," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-48, January.
  7. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 3," World Bank Publications, The World Bank, number 15195, October.
  8. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "Why the Apple Doesn't Fall Far: Understanding Intergenerational Transmission of Human Capital," American Economic Review, American Economic Association, vol. 95(1), pages 437-449, March.
  9. M. Shahe Emran & Forhad Shilpi, 2011. "Intergenerational Occupational Mobility in Rural Economy: Evidence from Nepal and Vietnam," Journal of Human Resources, University of Wisconsin Press, vol. 46(2), pages 427-458.
  10. Bloom, David E. & Killingsworth, Mark R., 1985. "Correcting for truncation bias caused by a latent truncation variable," Journal of Econometrics, Elsevier, vol. 27(1), pages 131-135, January.
  11. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, Elsevier.
  12. Mehtabul Azam, 2015. "Intergenerational Occupational Mobility among Men in India," Journal of Development Studies, Taylor & Francis Journals, vol. 51(10), pages 1389-1408, October.
  13. Thomas, Duncan, 1996. "Education across Generations in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 330-334, May.
  14. Reshad Ahsan & Arpita Chatterjee, 2015. "Trade Liberalization and Intergenerational Occupational Mobility in Urban India," Discussion Papers 2015-23, School of Economics, The University of New South Wales.
  15. Mehtabul Azam & Vipul Bhatt, 2015. "Like Father, Like Son? Intergenerational Educational Mobility in India," Demography, Springer;Population Association of America (PAA), vol. 52(6), pages 1929-1959, December.
  16. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 2," World Bank Publications, The World Bank, number 15194, October.
  17. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
  18. Raghuram G. Rajan, 2010. "Fault Lines: How Hidden Fractures Still Threaten the World Economy," Economics Books, Princeton University Press, edition 1, number 9111, June.
  19. repec:uwp:jhriss:v:52:y:2017:i:3:p:800-825 is not listed on IDEAS
  20. Alain-Désiré Nimubona & Désiré Vencatachellum, 2007. "Intergenerational education mobility of black and white South Africans," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 149-182, February.
  21. Martin Nybom & Jan Stuhler, 2017. "Biases in Standard Measures of Intergenerational Income Dependence," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 800-825.
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