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Identification of the Covariance Structure of Earnings using the GMM Estimator

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  • Aedin Doris

    (Economics,Finance and Accounting National University of Ireland, Maynooth)

  • Donal O'Neill

    (Economics,Finance and Accounting National University of Ireland,)

  • Olive Sweetman

    (Economics,Finance and Accounting National University of Ireland,)

Abstract

In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of earnings shocks and the evolution of inequality over time. We show that the interaction of transitory persistence with the time pattern of inequality determines identification in these models and offer some practical recommendations that follow from our findings.

Suggested Citation

  • Aedin Doris & Donal O'Neill & Olive Sweetman, 2010. "Identification of the Covariance Structure of Earnings using the GMM Estimator," Economics Department Working Paper Series n208-10.pdf, Department of Economics, National University of Ireland - Maynooth.
  • Handle: RePEc:may:mayecw:n208-10.pdf
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    Cited by:

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    2. Markus Jäntti & Stephen P. Jenkins, 2013. "Income Mobility," SOEPpapers on Multidisciplinary Panel Data Research 607, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. 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.
    4. Stephen Jenkins & Peter Lambert, 2011. "Robert Moffitt and Peter Gottschalk’s 1995 paper ‘Trends in the covariance structure of earnings in the US: 1969–1987’," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 433-437, September.
    5. Maurice J.G. Bun & Jasper Winter, 2022. "Capital and labor misallocation in the Netherlands," Journal of Productivity Analysis, Springer, vol. 57(1), pages 93-113, February.
    6. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    7. Gustafsson, Johan & Holmberg, Johan, 2022. "Permanent and transitory earnings dynamics and lifetime income inequality in Sweden," Umeå Economic Studies 1005, Umeå University, Department of Economics.
    8. P. Jenkins, Stephen & Cappellari, Lorenzo, 2013. "Earnings and labour market volatility in Britain," ISER Working Paper Series 2013-10, Institute for Social and Economic Research.
    9. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    10. Gustafsson, Johan & Holmberg, Johan, 2019. "Earning dynamics in Sweden: The recent evolution of permanent inequality and earnings volatility," Umeå Economic Studies 963, Umeå University, Department of Economics.
    11. Maurice Bun & Jasper de Winter, 2019. "Measuring trends and persistence in capital and labor misallocation," DNB Working Papers 639, Netherlands Central Bank, Research Department.

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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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