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Dynamics of Labor Market Earnings in Urban Mexico, 1987-2002

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  • Robert Duval Hernández

    (Division of Economics, CIDE)

Abstract

This paper studies short-run individual earnings mobility in urban Mexico from 1987 to 2002. It analyzes whether initially advantaged individuals experience more positive earnings mobility than the initially disadvantaged ones. It also studies whether earnings converge over time to their conditional mean, and what is the impact of socioeconomic characteristics on earnings mobility. The results show that while there is a great amount of convergence in the earnings of rich and poor over a year, this convergence is mostly due to transitory adjustments in earnings, i.e. it is due to earnings converging to their own conditional mean. Individuals with characteristics that give them a more permanent advantage in the labor markets (like high levels of education, being a male, etc.) usually keep their high earnings over a year. The main exception to this finding occurred in the aftermath of the 1994 Peso crisis when everybody experienced proportional earnings losses, and hence the permanently advantaged individuals experienced greater losses in absolute terms. Holding everything else constant, having high levels of education, being a male, becoming a formal sector selfemployed, and living in cities in the US Border and in the North of the country is usually associated positive mobility. On the contrary, transitions into informal wage work and living in the Center and South of the country brings more negative conditional mobility.

Suggested Citation

  • Robert Duval Hernández, 2007. "Dynamics of Labor Market Earnings in Urban Mexico, 1987-2002," Working papers DTE 401, CIDE, División de Economía.
  • Handle: RePEc:emc:wpaper:dte401
    as

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    File URL: http://www.economiamexicana.cide.edu/RePEc/emc/pdf/DTE/DTE401.pdf
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    References listed on IDEAS

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    1. Quentin Wodon, 2001. "Income mobility and risk during the business cycle: Comparing adjustments in labour markets in two Latin‐American countries," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 9(2), pages 449-461, July.
    2. 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.
    3. Bob Baulch & John Hoddinott, 2000. "Economic mobility and poverty dynamics in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 1-24.
    4. Lillard, Lee A & Weiss, Yoram, 1979. "Components of Variation in Panel Earnings Data: American Scientists, 1960-70," Econometrica, Econometric Society, vol. 47(2), pages 437-454, March.
    5. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    6. repec:dau:papers:123456789/1562 is not listed on IDEAS
    7. World Bank, 2004. "Poverty in Mexico : An Assessment of Conditions, Trends, and Government Strategy," World Bank Publications - Reports 14586, The World Bank Group.
    8. William F. Maloney & Wendy V. Cunningham & Mariano Bosch, 2004. "The Distribution of Income Shocks during Crises: An Application of Quantile Analysis to Mexico, 1992--95," The World Bank Economic Review, World Bank, vol. 18(2), pages 155-174.
    9. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    10. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    11. Gary Fields & Paul Cichello & Samuel Freije & Marta Menendez & David Newhouse, 2003. "Household income dynamics: a four-country story," Journal of Development Studies, Taylor & Francis Journals, vol. 40(2), pages 30-54.
    12. 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.
    13. Christiaan Grootaert & Ravi Kanbur & Gi-Taik Oh, 1997. "The dynamics of welfare gains and losses: An African case study," Journal of Development Studies, Taylor & Francis Journals, vol. 33(5), pages 635-657.
    14. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    15. Bound, John & Brown, Charles & Duncan, Greg J & Rodgers, Willard L, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-368, July.
    16. Maloney, William F, 1999. "Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico," The World Bank Economic Review, World Bank, vol. 13(2), pages 275-302, May.
    17. repec:adr:anecst:y:1999:i:55-56:p:07 is not listed on IDEAS
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    Cited by:

    1. Bosch, Mariano & Manacorda, Marco, 2008. "Minimum wages and earnings inequality in urban Mexico. Revisiting the evidence," LSE Research Online Documents on Economics 19561, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    Labor Market Earnings; Urban Mexico; short-run individual earnings;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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