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Statistical Inference for Measures of Income Mobility

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  • Mark Trede

    (Universität Köln)

Abstract

This paper reviews various mobility measures and establishes their asymptotic sampling distribution. The focus is on both transition matrix mobility measures and mobility measures which are based on the reduction in inequality occurring when the accounting period is extended. Statistical techniques are used to show the asymptotic normality of these measures and their variances. The empirical illustration examines the development of earnings mobility for both sexes in Germany between 1983 and 1992 using the Socio-Economic Panel data. It turns our that male earnings mobility fell during the eighties whereas the development of female earnings mobility is less clear. Comparing the levels of mobility females are more mobile than males, at least when inequality reduction mobility measures are employed. Considering the rather large number of observations the confidence intervals are often surprisingly wide. Therefore, confidence regions for mobility measures ought to be reported in empirical work whenever possible.

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Bibliographic Info

Article provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

Volume (Year): 218 (1999)
Issue (Month): 3+4 (March)
Pages: 473-490

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Handle: RePEc:jns:jbstat:v:218:y:1999:i:3-4:p:473-490

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Related research

Keywords: mobility measurement; confidence intervals; earnings distribution; panel data;

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Cited by:
  1. Gaston Yalonetzky, 2009. "Comparing Economic Mobility with Heterogeneity Indices: an Application to Education in Peru," OPHI Working Papers ophiwp033, Queen Elizabeth House, University of Oxford.
  2. Formby, John P. & Smith, W. James & Zheng, Buhong, 2004. "Mobility measurement, transition matrices and statistical inference," Journal of Econometrics, Elsevier, vol. 120(1), pages 181-205, May.
  3. Yi Chen & Frank A Cowell, 2013. "Mobility in China," STICERD - Public Economics Programme Discussion Papers 18, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  4. Fiaschi, Davide & Lavezzi, Andrea Mario, 2003. " Distribution Dynamics and Nonlinear Growth," Journal of Economic Growth, Springer, vol. 8(4), pages 379-401, December.

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