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Earnings mobility and measurement error : a pseudo-panel approach

Listed author(s):
  • Antman, Francisca
  • McKenzie, David J.

The degree of mobility in incomes is often seen as an important measure of the equality of opportunity in a society and of the flexibility and freedom of its labor market. But estimation of mobility using panel data is biased by the presence of measurement error and non-random attrition from the panel. This paper shows that dynamic pseudo-panel methods can be used to consistently estimate measures of absolute and conditional mobility in the presence of non-classical measurement errors. These methods are applied to data on earnings from a Mexican quarterly rotating panel. Absolute mobility in earnings is found to be very low in Mexico, suggesting that the high level of inequality found in the cross-section will persist over time. However, the paper finds conditional mobility to be high, so that households are able to recover quickly from earnings shocks. These findings suggest a role for policies which address underlying inequalities in earnings opportunities.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3745.

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Date of creation: 01 Oct 2005
Handle: RePEc:wbk:wbrwps:3745
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  7. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
  8. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
  9. Francisca Antman & David McKenzie, 2007. "Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity," Journal of Development Studies, Taylor & Francis Journals, vol. 43(6), pages 1057-1083.
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  13. Aaberge, Rolf, et al, 2002. "Income Inequality and Income Mobility in the Scandinavian Countries Compared to the United States," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(4), pages 443-469, December.
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  17. Neil McCulloch & Bob Baulch, 2000. "Simulating the impact of policy upon chronic and transitory poverty in rural Pakistan," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 100-130.
  18. Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
  19. David J. McKenzie, 2001. "Consumption Growth in a Booming Economy: Taiwan 1976-96," Working Papers 823, Economic Growth Center, Yale University.
  20. Gary Fields & Paul Cichello & Samuel Freije & Marta Menéndez & David Newhouse, 2003. "For Richer or for Poorer? Evidence from Indonesia, South Africa, Spain, and Venezuela," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 67-99, April.
  21. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
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  23. Piketty, Thomas, 2000. "Theories of persistent inequality and intergenerational mobility," Handbook of Income Distribution,in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 8, pages 429-476 Elsevier.
  24. Jarvis, Sarah & Jenkins, Stephen P, 1998. "How Much Income Mobility Is There in Britain?," Economic Journal, Royal Economic Society, vol. 108(447), pages 428-443, March.
  25. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
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