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Female selection into employment along the earnings distribution

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  • María Eugenia Echeberría

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economía)

Abstract

n Uruguay, women’s employment rates have increased over recent decades, mostly driven by the increase of labour supply of women in couples. However, a significant gender employment gap remains, which reflects the need of correcting for sample selection in empirical wage gap studies. Recent literature studying gender wage gaps have highlighted the importance of correcting for selection into employment along the earnings distribution. In this study, I estimate the evolution of the gender gap in earnings along the earnings distribution, correcting for selection into employment. Based on the Uruguayan household surveys, Encuesta Continua de Hogares, for the period 2009-2019, I apply the three-step quantile selection model proposed by Arellano and Bonhomme (2017) to estimate the selection-corrected hourly earnings distributions. I use a measure of potential out-of-work income as an instrument to correct for selection into employment. Results show that selection patterns vary across marital statuses. Potential earnings gaps are greater than the uncorrected (raw) earnings gap for individuals in couples in all earnings quantiles, albeit maintaining a decreasing trend over the studied period. The difference between both earning distributions is larger for lower earnings quantiles, suggesting the existence of ’sticky floors’. Lastly, when considering married and cohabiting individuals separately, I find that women’s selection into employment is driven by the selection of married women.

Suggested Citation

  • María Eugenia Echeberría, 2024. "Female selection into employment along the earnings distribution," Documentos de Trabajo (working papers) 24-08, Instituto de Economía - IECON.
  • Handle: RePEc:ulr:wpaper:dt-08-24
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    File URL: https://hdl.handle.net/20.500.12008/46637
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    References listed on IDEAS

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    More about this item

    Keywords

    Gender wage gaps; Sticky floors; Sample selection; Quantile regressions; Glass ceiling;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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