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Gender gap in the ask salaries: Evidence from larger administrative data

Author

Listed:
  • Taiyo Fukai

    (Faculty of Economics, Gakushuin University)

  • Keisuke Kawata

    (Institute of Social Sciences, University of Tokyo)

  • Mizuki Komura

    (School of Economics, Kwansei Gakuin University)

  • Takahiro Toriyabe

    (Graduate School of Economics, Hitotsubashi University)

Abstract

This study analyzes the gender gap in ask salaries using large administrative data of public job referrals, which allows us to look at the ask salaries of individuals from a wider wage distribution. We conduct a decomposition analysis using available information on age, desired work region, and desired occupation. We find that of the three factors, desired occupation is the most important in generating differences in ask salaries; however, the residuals are the largest outside of the three factors. A heterogeneity analysis is also conducted to understand the factors behind the residuals when only the available data are used.

Suggested Citation

  • Taiyo Fukai & Keisuke Kawata & Mizuki Komura & Takahiro Toriyabe, 2024. "Gender gap in the ask salaries: Evidence from larger administrative data," Discussion Paper Series 284, School of Economics, Kwansei Gakuin University.
    • Handle: RePEc:kgu:wpaper:284
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • 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
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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