Measuring Recruitment Elasticity in the Multi-stage Job Matching Process

This study addresses two conceptual issues in measuring recruitment elasticity: defining outcomes by matches rather than applications, and conditioning on workers observing posted wages. Using data from Japan's largest job matching intermediary tracking complete matching processes, we find recruitment elasticities around 1 for upper-wage workers but insignificant for lower-wage workers, indicating substantial employer market power. Wages significantly affect outcomes only at the application stage, not at subsequent interview or offer stages, consistent with directed search theory. These findings reveal heterogeneous monopsony power across worker segments with important implications for labor market policy.

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Publication Details

Published
2025-10-08
DOI
https://doi.org/10.31235/osf.io/wavdn_v4
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Measuring Recruitment Elasticity in the Multi-stage Job Matching Process

Ryo Kambayashi, Suguru Otani, Kohei Kawaguchi
Scheduling and Timetabling Solutions
article

Measuring Recruitment Elasticity in the Multi-stage Job Matching Process

Ryo Kambayashi, Suguru Otani, Kohei Kawaguchi
article en

Abstract

This study addresses two conceptual issues in measuring recruitment elasticity: defining outcomes by matches rather than applications, and conditioning on workers observing posted wages. Using data from Japan's largest job matching intermediary tracking complete matching processes, we find recruitment elasticities around 1 for upper-wage workers but insignificant for lower-wage workers, indicating substantial employer market power. Wages significantly affect outcomes only at the application stage, not at subsequent interview or offer stages, consistent with directed search theory. These findings reveal heterogeneous monopsony power across worker segments with important implications for labor market policy.

Japan Society for the Promotion of Science, Exploratory Research for Advanced Technology
Openalex Percentile: Top 67%
Scheduling and Timetabling Solutions
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