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Geraint Johnes
''Selection trials: comparing approaches for correcting sample selection bias in evaluating the gender wage gap''
( 2019, Vol. 39 No.4 )
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
JEL: J1 - Demographic Economics: General
J7 - Labor Discrimination: General
Manuscript Received : Nov 25 2019 Manuscript Accepted : Dec 08 2019

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