Work

Nonparametric estimation of matching efficiency and elasticity on a private on-the-job search platform: Evidence from Japan, 2014–2024

Year: 2025

Type: article

Abstract: I analyze proprietary data from BizReach (2014–2024) to estimate the matching function for high-skill workers on a private on-the-job search platform using Lange and Papageorgiou (2020) nonparametric approach. Comparing it to Hello Work, I find that matching efficiency on the private platform is both more volatile and higher, reflecting its growing popularity. Matching elasticity with respect to users is around 0.75, while for vacancies, it reaches 1.0, suggesting a more balanced elasticity than Hello Work. The study also uncovers industry-level heterogeneity, highlighting differences in matching dynamics across sectors.

Source: Journal of the Japanese and International Economies

DOI: 10.1016/j.jjie.2025.101394

Author: Suguru Otani

Institution: The University of Tokyo

Language: English

Topic: Labor market dynamics and wage inequality

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $3,970