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The male--female pay gap across the managerial workforce in the United Kingdom: a semi-parametric decomposition approach

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  • Sergio Scicchitano

Abstract

Using the last wave of the Community Statistics on Income and Living Conditions (EU-SILC) survey, this article employs a semi-parametric decomposition method to examine the male--female pay gap over the entire conditional wage distribution of the managerial workforce in the United Kingdom. The results make clear a U-shaped pattern for the pay gap, thus showing both significant sticky floor and glass ceiling effects. The counterfactual decomposition also displays that the gap is mostly due to the difference in rewards, whose relative effect grows as we move to the upper quantiles of the whole wage distribution.

Suggested Citation

  • Sergio Scicchitano, 2012. "The male--female pay gap across the managerial workforce in the United Kingdom: a semi-parametric decomposition approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1293-1297, September.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:13:p:1293-1297
    DOI: 10.1080/13504851.2011.619488
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    References listed on IDEAS

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    1. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    2. Roger Wahlberg, 2010. "The gender wage gap across the wage distribution in the private and public sectors in Sweden," Applied Economics Letters, Taylor & Francis Journals, vol. 17(15), pages 1465-1468.
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    Cited by:

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    2. Ha, Hu Van & Doan, Tinh & Holmes, Mark, 2022. "What Accounts for Gender Income Inequality? Empirical Evidence from Vietnamese Small and Medium Manufacturing Enterprises," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(1), pages 65-84, March.
    3. Izaskun Barba & Belen Iraizoz, 2020. "Effect of the Great Crisis on Sectoral Female Employment in Europe: A Structural Decomposition Analysis," Economies, MDPI, vol. 8(3), pages 1-24, August.

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