Statistical gender discrimination: evidence from young workers across four decades and 56 countries

Joanna Tyrowicz and Lucas van der Velde

No 66, GRAPE Working Papers from GRAPE Group for Research in Applied Economics

Abstract: Statistical discrimination offers a compelling narrative on gender wage gaps among younger workers. Employers could discount women's wages to adjust for probable costs linked to childbearing. Given trends towards lower and delayed fertility one should observe a lower discount in wages and a reduction in the gender wage gap among entrants. We put this conjecture to test. We provide a novel collection of adjusted gender wage gap (AGWG) estimates among young workers from 56 countries spanning four decades. We use these estimates to study the effects of postponing childbirth on AGWG. We find that postponing first parity by a year reduces AGWG by two percentage points (15%). We further benchmark the implied gender inequality with the help of time-use data

Keywords: youth; gender wage gap; statistical discrimination (search for similar items in EconPapers)
JEL-codes: J13 J31 J71 (search for similar items in EconPapers)
Pages: 78 pages
Date: 2022
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Journal Article: Statistical gender discrimination: evidence from young workers across four decades and 56 countries (2024)
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