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What determines wage differentials across the EU?

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Abstract

We analyse determinants of the wage differentials observed between thirteen European countries using the European Community Household Panel (ECHP). The empirical decomposition is based on a proportional hazards model. The approach based on rank invariant estimators is borrowed from the literature on failure time data and has been adapted by Donald et al. (Rev Econ Stud 67:609–633, 2000) to analyse differences in wage distributions. Extending this approach and using natural splines to allow for nonlinear regression effects we isolate three different underlying forces for wage differentials: differences in characteristics, differences in weights of characteristics and differences in the returns-to-skill functions. The analysis reveals that country differences in returns-to-skill functions contribute most to observed wage differences while differences in observed characteristics contribute surprisingly little.

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References

  1. Aaberge, R., Bjerve, S., Doksum, K.: Modeling inequality and spread in multiple regression. In: 2nd Lehmann Symposium - Optimality. IMS Lecture Notes - Monograph Series, vol. 49, pp. 120–130 (2006)

  2. Andini, C.: Within-groups wage inequality and schooling: further evidence for Portugal. IZA discussion paper 2828 (2007)

  3. Beaudry, P., Green, D.A.: Wages and employment in the United States and Germany: what explains the difference? Am. Econ. Rev. 93, 573–602 (2003)

    Article  Google Scholar 

  4. Beblo, M., Beninger, D., Heinze, A., Laisney, F.: Methodological issues related to the analysis of gender gaps in employment, earnings and career progression. http://europa.eu.int/comm/employment_social/employment_analysis/gender/gender_fin_rep.pdf (2003)

  5. Behr, A.: Comparing estimation strategies in the presence of panel attrition. Empirical results based on the ECHP. J. Econ. Stat. 226, 361–384 (2006)

    Google Scholar 

  6. Behr, A., Bellgardt, E., Rendtel, U.: Extent and determinants of panel attrition in the European community household panel. Eur. Sociol. Rev. 21, 489–512 (2005)

    Article  Google Scholar 

  7. Blau, F.D., Kahn, L.M.: Wage structure and gender earnings differentials: an international comparison. Economica, 63, S29–S62 (1996)

    Article  Google Scholar 

  8. Blau, F.D., Kahn, L.M.: Understanding international differences in the gender pay gap. J. Labor Econ. 21, 106–144 (2003)

    Article  Google Scholar 

  9. Dabrowska, D.M.: Quantile regression in transformation models. Sankhyā 67, 153–186 (2005)

    Google Scholar 

  10. DiNardo, J., Lemieux, T.: Diverging male wage inequality in the United States and Canada, 1981-1988: do institutions explain the difference? Ind. Labor Relat. Rev. 50, 629–651 (1997)

    Article  Google Scholar 

  11. DiNardo, J., Fortin, N., Lemieux, T.: Labor market institutions and the distribution of wages, 1973–1992: a semiparametric approach. Econometrica 64, 1001–1044 (1996)

    Article  Google Scholar 

  12. Donald, S., Green, D.A., Paarsch, H.J.: Differences in wage distributions between Canada and the United States: an application of a flexible estimator of distribution functions on the presence of covariates. Rev. Econ. Stud. 67, 609–633 (2000)

    Article  Google Scholar 

  13. Fleming, T.R., Harrington, D.P.: Counting Processes & Survival Analysis. Wiley (1991)

  14. Fortin, N.M., Lemieux, T.: Rank regressions, wage distributions, and the gender gap. J. Hum. Resour. 33, 610–643 (1998)

    Article  Google Scholar 

  15. Hettmansperger, T.P.: Statistical Inference Based on Ranks. Wiley (1984)

  16. Juhn, C., Murphy, K.M., Pierce, B.: Accounting for the slowdown in black-white convergence. In: Kosters, M.H. (ed.) Workers and Their Wages, pp. 107–143. Washington DC (1991)

  17. Juhn, C., Murphy, K.M., Pierce, B.: Wage inequality and the rise in returns to skill. J. Polit. Econ. 101, 410–442 (1993)

    Article  Google Scholar 

  18. Kalbfleisch, J.D., Prentice, R.L.: Statistical Analysis of Failure Time Data, 2nd edn. Wiley (2002).

  19. Koenker, R.: Quantile Regression. Cambridge University Press (2005)

  20. Machado, J.A.F., Mata, J.: Counterfactual decomposition of changes in wage distributions using quantile regression. J. Appl. Econ. 20, 445–465 (2005)

    Article  Google Scholar 

  21. Martins, P.S., Pereira, P.T.: Does education reduce wage inequality? Quantile regression evidence from 16 countries. Labour Econ. 11, 355–371 (2004)

    Article  Google Scholar 

  22. Peracchi, F.: The European community household panel: a review. Empir. Econ. 27, 63–90 (2002)

    Article  Google Scholar 

  23. Silverman, B.W.: Density Estimation. Chapman and Hall, London (1986)

    Google Scholar 

  24. Solomon, P.J.: Effect of misspecification of regression models in the analysis of survival data. Biometrika 71, 291–298 (1984)

    Article  Google Scholar 

  25. Solomon, P.J.: Effect of misspecification of regression models in the analysis of survival data. Correction, Biometrika 73, 245 (1986)

    Article  Google Scholar 

  26. Struthers, C.A., Kalbfleisch, J.D.: Misspecified proportional hazard models. Biometrika 73, 363–369 (1986)

    Article  Google Scholar 

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Behr, A., Pötter, U. What determines wage differentials across the EU?. J Econ Inequal 8, 101–120 (2010). https://doi.org/10.1007/s10888-008-9106-z

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  • DOI: https://doi.org/10.1007/s10888-008-9106-z

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