Estimation of the Effects of Statistical Discrimination on the Gender Wage Gap

Atsuko Tanaka
Additional contact information
Atsuko Tanaka: University of Calgary

No 2015-22, Working Papers from Department of Economics, University of Calgary

Abstract: How much of the gender wage gap can be attributed to statistical discrimination? Applying an employer learning model and Instrumental Variable (IV) estimation strategy to Japanese panel data, I examine how women's generally weak labor force attachment affects wages when employers cannot easily observe an individual's labor force intentions. To overcome endogeneity issues, I use survey information on individual workers' intentions to continue working after having children and Japanese panel data with exogenous variation in average quit rates for female workers. I find that the extent of statistical discrimination is greatest for young age cohorts, ages 24 to 35, and that it diminishes for older cohorts. I also find that if employers could observe an individual's labor force intentions, the gender wage gap could be reduced from 17% to 5% for workers aged 24 to 29.

Date: 2015-12-21
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://econ.ucalgary.ca/sites/econ.ucalgary.ca.ma ... atanaka_evidence.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:clg:wpaper:2015-22

Access Statistics for this paper

More papers in Working Papers from Department of Economics, University of Calgary Contact information at EDIRC.
Bibliographic data for series maintained by Department of Economics ().