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Gender Wage Gaps Reconsidered: A Structural Approach Using Matched Employer-Employee Data

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  • Cristian Bartolucci

Abstract

In this paper I propose and estimate an equilibrium search model using matched employer-employee data to study the extent to which wage differentials between men and women can be explained by differences in productivity, disparities in friction patterns, segregation or wage discrimination. The availability of matched employer-employee data is essential to empirically disentangle differences in workers productivity across groups from differences in wage policies toward those groups. The model features rent splitting, on-the-job search and two-sided heterogeneity in productivity. It is estimated using German microdata. I find that female workers are less productive and more mobile than males. Female workers have on average slightly lower bargaining power than their male counterparts. The total gender wage gap is 42 percent. It turns out that most of the gap, 65 percent, is accounted for by differences in productivity, 17 percent of this gap is driven by segregation while differences in destruction rates explain 9 percent of the total wage-gap. Netting out differences in offer-arrival rates would increase the gap by 13 percent. Due to differences in wage setting, female workers receive wages 9 percent lower than male ones.

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Bibliographic Info

Paper provided by Collegio Carlo Alberto in its series Carlo Alberto Notebooks with number 116.

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Length: 63 pages
Date of creation: 2009
Date of revision: 2010
Handle: RePEc:cca:wpaper:116

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Related research

Keywords: labor market discrimination; search frictions; structural estimation; matched employer-employee data;

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Cited by:
  1. Panagiotis Nanos & Christian Schluter, 2013. "The Composition of Wage Differentials between Migrants and Natives," Papers 1306.1781, arXiv.org, revised Oct 2013.
  2. Francesco Devicienti & Cristian Bartolucci, 2013. "Better Workers Move to Better Firms: A Simple Test to Identify Sorting," 2013 Meeting Papers 249, Society for Economic Dynamics.
  3. Giovanni Sulis, 2008. "Gender Wage Differentials in Italy: A Structural Estimation Approach," LABORatorio R. Revelli Working Papers Series 74, LABORatorio R. Revelli, Centre for Employment Studies.
  4. Rickne, Johanna, 2010. "Gender, Wages, and Social Security in China’s Industrial Sector," Working Paper Series 827, Research Institute of Industrial Economics.
  5. Antonczyk, Dirk & Fitzenberger, Bernd & Sommerfeld, Katrin, 2010. "Rising wage inequality, the decline of collective bargaining, and the gender wage gap," Labour Economics, Elsevier, vol. 17(5), pages 835-847, October.

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