CSRDA Discussion Paper Series

No. 93 Gender gap in the ask salaries: evidence from larger administrative data
Taiyo Fukai, Keisuke Kawata, Mizuki Komura, Takahiro Toriyabe
Taiyo FukaiGakushuin University
Keisuke KawataThe University of Tokyo
Mizuki KomuraKwansei Gakuin University
Takahiro ToriyabeHitotsubashi University
Gender wage gapgender ask gapadministrative data
Goal 5: Gender EqualityGoal 8: Decent Work and Economic Growth

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.