IDEAS home Printed from https://ideas.repec.org/p/emc/wpaper/dte401.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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

    Download full text from publisher

    File URL: http://www.economiamexicana.cide.edu/RePEc/emc/pdf/DTE/DTE401.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. World Bank, 2004. "Poverty in Mexico : An Assessment of Conditions, Trends, and Government Strategy," World Bank Publications - Reports 14586, The World Bank Group.
    4. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. repec:dau:papers:123456789/1562 is not listed on IDEAS
    15. 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.
    16. 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.
    17. repec:adr:anecst:y:1999:i:55-56:p:07 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lisa M. Dragoset & Gary S. Fields, 2006. "U.S. Earnings Mobility: Comparing Survey-Based and Administrative-Based Estimates," Working Papers 55, ECINEQ, Society for the Study of Economic Inequality.
    2. Dean R. Hyslop & Wilbur Townsend, 2020. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 457-469, April.
    3. Whalley, Alexander, 2011. "Education and labor market risk: Understanding the role of data cleaning," Economics of Education Review, Elsevier, vol. 30(3), pages 528-545, June.
    4. Storesletten, Kjetil & Violante, Giovanni & Heathcote, Jonathan, 2004. "The Cross-Sectional Implications of Rising Wage Inequality in the United States," CEPR Discussion Papers 4296, C.E.P.R. Discussion Papers.
    5. Fatih Karahan & Serdar Ozkan, 2013. "On the Persistence of Income Shocks over the Life Cycle: Evidence, Theory, and Implications," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 452-476, July.
    6. John Abowd & Martha Stinson, 2011. "Estimating Measurement Error in SIPP Annual Job Earnings: A Comparison of Census Bureau Survey and SSA Administrative Data," Working Papers 11-20, Center for Economic Studies, U.S. Census Bureau.
    7. Peter Gottschalk & Minh Huynh, 2010. "Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 302-315, May.
    8. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    9. Jenkins, Stephen P., 2011. "Has the Instability of Personal Incomes been Increasing?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 218, pages 33-43, October.
    10. Otto Kässi, 2014. "Earnings dynamics of men and women in Finland: permanent inequality versus earnings instability," Empirical Economics, Springer, vol. 46(2), pages 451-477, March.
    11. de Nicola, Francesca & Giné, Xavier, 2014. "How accurate are recall data? Evidence from coastal India," Journal of Development Economics, Elsevier, vol. 106(C), pages 52-65.
    12. Ingrid Woolard & Stephan Klasen, 2005. "Determinants of Income Mobility and Household Poverty Dynamics in South Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 41(5), pages 865-897.
    13. Gregory Veramendi, 2012. "Labor Market Dynamics: A Model of Search and Human Capital Accumulation," 2012 Meeting Papers 1059, Society for Economic Dynamics.
    14. Robin Jessen & Johannes König, 2023. "Hours risk and wage risk: repercussions over the life cycle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 956-996, October.
    15. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    16. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    17. Lance Lochner & Youngki Shin, 2014. "Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks," NBER Working Papers 20068, National Bureau of Economic Research, Inc.
    18. Estelle Dauchy & Francisco Navarro-Sanchez & Nathan Seegert, 2021. "Taxation and Inequality: Active and Passive Channels," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 156-177, October.
    19. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    20. Hyungsik Roger Moon & Frank Schorfheide & Boyuan Zhang, 2023. "Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity," PIER Working Paper Archive 23-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:emc:wpaper:dte401. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mateo Hoyos (email available below). General contact details of provider: https://edirc.repec.org/data/cideemx.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.