Estimating a dynamic adverse-selection model: Labour-force experience and the changing gender earnings gap 1968-1997

  • George Levi Gayle
  • , Limor Golan

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses two questions: What accounts for the gender gap in labour-market outcomes? What are the driving forces behind the changes in the gender labour-market outcomes over the period 1968-1997? It formulates a dynamic general equilibrium model of labour supply, occupational sorting, and human-capital accumulation in which gender discrimination and an earnings gap arise endogenously. It uses this model to quantify the driving forces behind the decline in the gender earnings gap and the increase in female labour-force participation, the proportion of women working in professional occupations, and hours worked. It finds that labour-market experience is the most important factor explaining the gender earnings gap. In addition, statistical discrimination accounts for a large fraction of the observed gender earnings gap and its decline. It also finds that a large increase in aggregate productivity in professional occupations plays a major role in the increase in female labour-force participation, number of hours worked, and the proportion of females working in professional occupations. Although of less importance, demographic changes account for a substantial part of the increase in female labour-force participation and hours worked, whereas home production technology shocks do not.

Original languageEnglish
Pages (from-to)227-267
Number of pages41
JournalReview of Economic Studies
Volume79
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • Adverse selection
  • Dynamic general equilibrium
  • Gender earnings gap
  • Human Capital
  • Occupational sorting
  • Signalling
  • Statistical discrimination
  • Structural estimation of dynamic games

Fingerprint

Dive into the research topics of 'Estimating a dynamic adverse-selection model: Labour-force experience and the changing gender earnings gap 1968-1997'. Together they form a unique fingerprint.

Cite this