Gender Typicality and Sexual Minority Labor Market Differentials

Ian Burn and Michael Martell

No 202018, Working Papers from University of Liverpool, Department of Economics

Abstract: Sexual minorities experience significant differences in labor market outcomes relative to comparable heterosexuals, with larger differences in earnings than in labor supply. A common explanation of these differences is that they may reflect unobserved differences inmasculinity and femininity in the sexual minority population. We leverage data on personality and behaviors in the National Study of Adolescent to Adult Health (AddHealth) to test whether controlling for differences in masculinity and femininity through quantitative measures of gender typicality eliminates labor market differentials. While we find evidence that gender typicality does affect labor market outcomes of men and women on average, we find no evidence of a differential effect for gays and lesbians. Controlling for these factors does not affect sexual orientation labor market differentials, suggesting that existing estimates of earnings differentials are not affected by omitted variable bias due to not controlling for gender typicality.

Pages: 57 pages
Date: 2020-06
New Economics Papers: this item is included in nep-gen and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations:

Forthcoming

Downloads: (external link)
https://www.liverpool.ac.uk/media/livacuk/schoolof ... et,Differentials.pdf First version, 2020 (application/pdf)

Related works:
Journal Article: Gender typicality and sexual minority labour market differentials (2022)
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:liv:livedp:202018

Access Statistics for this paper

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