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Journal of the European Economic Association
Article . 2023 . Peer-reviewed
License: CC BY NC
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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
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EconStor
Research . 2020
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EconStor
Research . 2020
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Research . 2020
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Recruitment Policies, Job-Filling Rates and Matching Efficiency

Authors: Carrillo Tudela, Carlos; Lochner, Ben; Kaas, Leo;
APC: 4,539.85 EUR

Recruitment Policies, Job-Filling Rates and Matching Efficiency

Abstract

Abstract Recruitment intensity is important for the matching process in the labor market. Using unique linked survey–administrative data, we investigate the relationships between hiring and recruitment policies at the establishment level. Faster hiring goes along with higher search effort, lower hiring standards, and more generous wages. We develop a directed search model that links these patterns to the employment adjustments of heterogeneous firms. The model provides a novel structural decomposition of the matching function that we use to evaluate the relative importance of these recruitment policies at the aggregate level. The calibrated model shows that hiring standards play an important role in explaining differences in matching efficiency across labor markets defined as region/skill cross-products and for the impact of labor market policy, whereas search effort and wage policies play only a minor role.

Country
United Kingdom
Keywords

330, labor market matching, ddc:330, Labor market matching, J23, vacancies, recruitment, Recruitment, E24, J63, Vacancies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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!
29
Top 10%
Top 10%
Top 10%
Green
hybrid