Selection trials: comparing approaches for correcting sample selection bias in evaluating the gender wage gap

Geraint Johnes ()
Additional contact information
Geraint Johnes: Lancaster University Management School

Economics Bulletin, 2019, vol. 39, issue 4, 2746-2750

Abstract: Ordinary least squares (OLS) estimates of the impact of gender on earnings are potentially biased owing to non-randomness in sample selection. In this note, OLS estimates are compared with the results of two methods that have been proposed to allow for these selection effects – first Heckman's method and secondly a novel approach based on quantile regression promulgated by D'Haultfoeuille et al. (2018). Estimates are provided for 18 countries over a recent three year period. Differences between the results obtained using the alternative methods are highlighted and explained, with lessons drawn for the application of these techniques in future exercises.

Keywords: gender; wage differential; sample selection (search for similar items in EconPapers)
JEL-codes: J1 J7 (search for similar items in EconPapers)
Date: 2019-12-08
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I4-P256.pdf (application/pdf)

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:ebl:ecbull:eb-19-01041

Access Statistics for this article

More articles in Economics Bulletin from AccessEcon
Bibliographic data for series maintained by John P. Conley ().