Selection bias and segregation indices: The international comparison of segregation levels

Ricardo Mora Villarrubia

Spanish Stata Conference 2023 from Stata Users Group

Abstract: This presentation shows the Stata implementation of a novel approach to measure gender occupational segregation. Traditional approaches to occupational gender segregation that rely on employment data and occasionally on indices that ensure invariance to labor market participation rates often depict a skewed representation of segregation levels in the population. The methodology is universally applicable to any segregation index and necessitates a representative sample comprising detailed gender-per-occupation and participation frequency data. A key aspect of this method is that it tackles endogenous selection in participation decisions and the consequential nonignorability in gender-per-occupation frequencies via a full maximum-likelihood estimation approach. I illustrate the approach with Eurostat data.

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Persistent link: https://EconPapers.repec.org/RePEc:boc:spai23:01

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