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Earnings mobility among Italian low-paid workers

  • Lorenzo Cappellari

    ()

This paper uses Italian panel data to analyse transition probabilities at the bottom of the earnings distribution during the 1990s. The analytical framework is characterised by the ability to account for the endogeneity of initial conditions, educational attainment and earnings attrition, providing a model that encompasses those applied by previous research. Results show that the three selection mechanisms are endogenous for the estimation of low pay transitions. The data also reveal considerable state dependence, i.e. the experience of low pay is found to raise, per se, the probability of subsequent low pay episodes. Low pay persistence and entry rates are found to be larger among female employees, the low educated, manual workers in small firms and workers from the South relative to otherwise comparable individuals.

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File URL: http://hdl.handle.net/10.1007/s00148-006-0065-z
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Article provided by Springer in its journal Journal of Population Economics.

Volume (Year): 20 (2007)
Issue (Month): 2 (April)
Pages: 465-482

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Handle: RePEc:spr:jopoec:v:20:y:2007:i:2:p:465-482
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  1. Lorenzo Cappellari, 1999. "Low-Wage Mobility in the Italian Labour Market," The Warwick Economics Research Paper Series (TWERPS) 531, University of Warwick, Department of Economics.
  2. Cappellari, Lorenzo, 2002. " Do the 'Working Poor' Stay Poor? An Analysis of Low Pay Transitions in Italy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 87-110, May.
  3. Cappellari, Lorenzo & Jenkins, Stephen P., 2002. "Modelling Low Income Transitions," IZA Discussion Papers 504, Institute for the Study of Labor (IZA).
  4. Vassilis A. Hajivassiliou & Paul A. Ruud, 1993. "Classical Estimation Methods for LDV Models Using Simulation," Cowles Foundation Discussion Papers 1051, Cowles Foundation for Research in Economics, Yale University.
  5. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
  6. La Ferrara, Eliana & Alesina, Alberto, 2005. "Preferences for Redistribution in the Land of Opportunities," Scholarly Articles 4552533, Harvard University Department of Economics.
  7. Moshe Buchinsky & Jennifer Hunt, 1996. "Wage Mobility in the United States," NBER Working Papers 5455, National Bureau of Economic Research, Inc.
  8. Alberto Alesina & Eliana La Ferrara, 2001. "Preferences for Redistribution in the Land of Opportunities," NBER Working Papers 8267, National Bureau of Economic Research, Inc.
  9. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140 National Bureau of Economic Research, Inc.
  10. Stewart, M.B. & Swaffield, J.K., 1997. "Low Pay Dynamics and Transition Probabilities," The Warwick Economics Research Paper Series (TWERPS) 495, University of Warwick, Department of Economics.
  11. Mark B. Stewart, 2002. "The Inter-related Dynamics of Unemployment and Low Pay," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B2-4, International Conferences on Panel Data.
  12. Stephen P. Jenkins, 2000. "Modelling household income dynamics," Journal of Population Economics, Springer, vol. 13(4), pages 529-567.
  13. Freeman, Richard B, 1996. "The Minimum Wage as a Redistributive Tool," Economic Journal, Royal Economic Society, vol. 106(436), pages 639-49, May.
  14. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  15. Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
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