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

Johnes, Geraint (2019) Selection trials:comparing approaches for correcting sample selection bias in evaluating the gender wage gap. Economics Bulletin, 39 (4). pp. 2746-2750. ISSN 1545-2921

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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.

Item Type:
Journal Article
Journal or Publication Title:
Economics Bulletin
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2000
Subjects:
ID Code:
139343
Deposited By:
Deposited On:
06 Dec 2019 15:45
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Dec 2020 07:41