Matching for three: The search activities of workers, firms, and employment services

The standard labour market matching function neglects a substantial variation of hirings. A crucial driver of this latent part is the search intensity of job seekers and firms, as well as the placement intensity of employment agencies. However, there is still a lack of integration of all three search and placement intensities into a unified theoretical framework. Their combined labour market effects have not been estimated so far. We feed all three intensities into the theoretical framework of a labour market matching function to estimate their impact on the job finding rate-effects which are not settled a priori. This could provide important stylised facts for subsequent theory building. For measuring the search and placement intensities, we use big data on online activity obtained from the job exchange of the German Federal Employment Agency and from its internal placement-software. The results show that all three intensities significantly contribute to the variation in job findings beyond vacancies and unemployment. During the COVID-19 crisis, reduced search intensities accounted for 44 percent of lost hirings and 16 percent of the labour market related increase in unemployment.

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Publication Details

Journal
Economic Modelling
Published
2025-12-12
DOI
https://doi.org/10.1016/j.econmod.2025.107434
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
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article

Matching for three: The search activities of workers, firms, and employment services

Christian Hütter, Enzo Weber, Tobias Hartl
Economic Modelling
Labor market dynamics and wage inequality
article

Matching for three: The search activities of workers, firms, and employment services

Christian Hütter, Enzo Weber, Tobias Hartl
article en

Abstract

The standard labour market matching function neglects a substantial variation of hirings. A crucial driver of this latent part is the search intensity of job seekers and firms, as well as the placement intensity of employment agencies. However, there is still a lack of integration of all three search and placement intensities into a unified theoretical framework. Their combined labour market effects have not been estimated so far. We feed all three intensities into the theoretical framework of a labour market matching function to estimate their impact on the job finding rate-effects which are not settled a priori. This could provide important stylised facts for subsequent theory building. For measuring the search and placement intensities, we use big data on online activity obtained from the job exchange of the German Federal Employment Agency and from its internal placement-software. The results show that all three intensities significantly contribute to the variation in job findings beyond vacancies and unemployment. During the COVID-19 crisis, reduced search intensities accounted for 44 percent of lost hirings and 16 percent of the labour market related increase in unemployment.

Economic ModellingVol. 155
Openalex Percentile: Top 53%
Labor market dynamics and wage inequality
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