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International Review of Applied Economics Volume 30, 2016 - Issue 2
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Original Articles

Decomposition and wage inequality

Marilena FurnoDepartment of Agricultural Science, Università di Napoli ‘Federico II’, Naples, ItalyCorrespondence[email protected]
Pages 188-209 | Received 27 Jun 2014, Accepted 13 Aug 2015, Published online: 02 Oct 2015

References

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  • Chernozhukov, V., I. Fernandez-Val, and B. Melly. 2013. “Inference on Counterfactual Distributions.” Econometrica 81: 2205–2268.
  • Furno M., 2014. “Returns to Education and Gender Gap”. International Review of Applied Economics. 28:628-649.
  • Koenker, R. 2005. Quantile Regression. Cambridge, UK: Cambridge University Press.10.1017/CBO9780511754098
  • Koenker, R., and G. Bassett. 1978. “Regression Quantiles.” Econometrica 46: 33–50.10.2307/1913643
  • Machado, J., and J. Mata. 2005. “Counterfactual Decomposition of Changes in Wage Distributions Using Quantile Regression.” Journal of Applied Econometrics 20: 445–465.10.1002/(ISSN)1099-1255
  • Mussida, C., and M.Picchio. 2011. “The Trend over Time of the Gender Wage Gap in Italy.” IZA Discussion Paper 5932.
  • Mussida, C., and M.Picchio. 2014. “The Gender Wage Gap by Education in Italy.” Journal of Economic Inequality.12:117–147.
  • Oaxaca, R. 1973. “Male-Female Wage Differentials in Urban Labor Markets.” International Economic Review 14: 693–709.10.2307/2525981
  • Zizza, R. 2013. The Gender Wage Gap in Italy. Questioni Di Economia E Finanza 172. Banca d’Italia.

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