Returns to education in heterogenous labour markets: the case of Peru

Fuente: Organización Internacional del Trabajo (OIT)
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Hauptverfasser: Juan Chacaltana (Author), Martin Moreno (Author)
Format: Entrada de enciclopedia
Veröffentlicht: International Labour Organization 2025
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author Juan Chacaltana (Author)
Martin Moreno (Author)
author_facet Juan Chacaltana (Author)
Martin Moreno (Author)
Juan Chacaltana (Author)
Martin Moreno (Author)
contents Returns to education in heterogenous labour markets: the case of Peru Juan Chacaltana (Author) Martin Moreno (Author) This paper examines the private returns to education in the context of heterogeneous labour markets, using Peru as a case study. While education is widely considered a key driver of individ­ual earnings and economic growth, its actual returns may be constrained by structural features of labour demand. Drawing on nationally representative household survey data from 2016, 2019, and 2022, we estimate Mincerian earnings equations with Heckman selection correction to as­sess how returns to education vary by employment status (employee vs. own account) and sec­tor (formal vs. informal). ILO working paper, 147, ILO 10.54394/MQIL6393 DOI https://doi.org/10.54394/MQIL6393; ISBN 9789220423394 publication.encyclopediaEntry
format Entrada de enciclopedia
id ilo_995660013702676
institution Organización Internacional del Trabajo (OIT)
publishDate 2025
publisher International Labour Organization
spellingShingle Returns to education in heterogenous labour markets: the case of Peru
Juan Chacaltana (Author)
Martin Moreno (Author)
Returns to education in heterogenous labour markets: the case of Peru Juan Chacaltana (Author) Martin Moreno (Author) This paper examines the private returns to education in the context of heterogeneous labour markets, using Peru as a case study. While education is widely considered a key driver of individ­ual earnings and economic growth, its actual returns may be constrained by structural features of labour demand. Drawing on nationally representative household survey data from 2016, 2019, and 2022, we estimate Mincerian earnings equations with Heckman selection correction to as­sess how returns to education vary by employment status (employee vs. own account) and sec­tor (formal vs. informal). ILO working paper, 147, ILO 10.54394/MQIL6393 DOI https://doi.org/10.54394/MQIL6393; ISBN 9789220423394 publication.encyclopediaEntry
title Returns to education in heterogenous labour markets: the case of Peru
url https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Returns-to-education-in-heterogenous-labour/995660013702676