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Canadian Journal of Economics/Revue canadienne d économique
Article . 2023 . Peer-reviewed
License: CC BY
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Article . 2022 . Peer-reviewed
Data sources: Crossref
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Research . 2022
Data sources: EconStor
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Research . 2022
Data sources: EconStor
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Approaches to learn about employer learning

Authors: Mahmut Ablay; Fabian Lange;

Approaches to learn about employer learning

Abstract

AbstractThe empirical literature on employer learning assumes that employers learn about unobserved ability differences across workers as they spend time in the labour market. This article describes testable implications that arise from this basic hypothesis and how they have been used to quantify the contribution of job market signalling and human capital in measured returns to education. While the empirical basis is still thin, the results suggest that signalling contributes at most about 25% to the observed returns to education.

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Keywords

Human Capital, Returns to Education, ddc:330, Job Market Signaling, human capital, E24, returns to education, J31, employer learning, Employer Learning

  • BIP!
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    citations
    The total number of citations received by all articles of the researcher of interest.
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
hybrid