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Falling Behind or Catching Up? Cross-Country Evidence in Intra-Generational Wages Mobility through Pseudo-Panels

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  • Marco Lilla

Abstract

The paper aims to encompass evidence on wage distribution and inequality with micro-mobility measures for several countries in the 2000s, by applying pseudo-panel methodology to microdata from the LIS database. Hence, different paths in term of wage growth or stagnation, increasing or declining inequalities and wages convergence over time emerge from comparison across countries. Finally, cohort-based measures of micro-mobility are compared to the corresponding ones obtained from true panel component for some countries.

Suggested Citation

  • Marco Lilla, 2016. "Falling Behind or Catching Up? Cross-Country Evidence in Intra-Generational Wages Mobility through Pseudo-Panels," LIS Working papers 669, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:669
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    References listed on IDEAS

    as
    1. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    3. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    4. Francisca Antman & David J. McKenzie, 2007. "Earnings Mobility and Measurement Error: A Pseudo-Panel Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 56(1), pages 125-161, October.
    5. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    6. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    7. Anthony B Atkinson & François Bourguignon, 2014. "Handbook of Income Distribution," Post-Print halshs-02923231, HAL.
    8. Martin Ravallion, 2015. "The Luxembourg Income Study," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 527-547, December.
    9. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
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    More about this item

    Keywords

    Intra generational Mobility; wage; inequality;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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