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Mobility in the Urban Labor Market : A Panel Data Analysis for Mexico

Author

Listed:
  • Gong, X.

    (Tilburg University, School of Economics and Management)

  • van Soest, A.H.O.

    (Tilburg University, School of Economics and Management)

  • Villagomez, E.

    (Tilburg University, School of Economics and Management)

Abstract

We analyze mobility in urban Mexico between three labor market states: working in the formal sector, working in the informal sector, and not working. We use a dynamic multinomial logit panel data model with random effects, explaining the labor market state of each individual during each time period. The data is drawn from Mexico ’s Urban Employment Survey, a quarterly household survey for urban Mexico. Two separate five-wave panels are used: the first covering a period of rapid economic growth (1992-1993), the second a period of recession after the Peso crisis (1994-1995). Our main results are in line with the theory that formal sector jobs are superior to informal sector jobs and that working in the informal sector is a temporary state for those who cannot find a formal sector job and cannot afford not to work. Entry and exit rates for the formal sector are lower than for the informal sector. The probability of formal sector employment strongly increases with education level. For men, it is easier to enter the formal sector from the non-working state than from the informal sector. The probability of working in the informal sector decreases with the level of income of other family members, while the probability of not working increases with it.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gong, X. & van Soest, A.H.O. & Villagomez, E., 2000. "Mobility in the Urban Labor Market : A Panel Data Analysis for Mexico," Other publications TiSEM ac9ec63a-5468-48e0-a4e5-c, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:ac9ec63a-5468-48e0-a4e5-c0e0d0c805ce
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    References listed on IDEAS

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    1. Fields, Gary S., 1975. "Rural-urban migration, urban unemployment and underemployment, and job-search activity in LDCs," Journal of Development Economics, Elsevier, vol. 2(2), pages 165-187, June.
    2. Gourieroux, Christian & Monfort, Alain, 1993. "Simulation-based inference : A survey with special reference to panel data models," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 5-33, September.
    3. Menno Pradhan & Arthur Van Soest, 1997. "Household Labor Supply In Urban Areas Of Bolivia," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 300-310, May.
    4. Pradhan, Menno & van Soest, Arthur, 1995. "Formal and informal sector employment in urban areas of Bolivia," Labour Economics, Elsevier, vol. 2(3), pages 275-297, September.
    5. 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.
    6. Funkhouser, Edward, 1996. "The urban informal sector in Central America: Household survey evidence," World Development, Elsevier, vol. 24(11), pages 1737-1751, November.
    7. Lee, Lung-Fei, 1992. "On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models," Econometric Theory, Cambridge University Press, vol. 8(4), pages 518-552, December.
    8. Gong, Xiaodong & van Soest, Arthur, 2002. "Wage differentials and mobility in the urban labour market: a panel data analysis for Mexico," Labour Economics, Elsevier, vol. 9(4), pages 513-529, September.
    9. Wooldridge, Jeffrey M., 2000. "A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables," Economics Letters, Elsevier, vol. 68(3), pages 245-250, September.
    10. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    11. Francis Vella & Marno Verbeek, 1998. "Whose wages do unions raise? A dynamic model of unionism and wage rate determination for young men," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 163-183.
    12. Strassmann, W Paul, 1987. "Home-Based Enterprises in Cities of Developing Countries," Economic Development and Cultural Change, University of Chicago Press, vol. 36(1), pages 121-144, October.
    13. Magnac, Th, 1991. "Segmented or Competitive Labor Markets," Econometrica, Econometric Society, vol. 59(1), pages 165-187, January.
    14. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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