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

Suguru Otani

Journal of the Japanese and International Economies2025https://doi.org/10.1016/j.jjie.2025.101394article
AJG 2ABDC A
Weight
0.50

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. • Estimates matching efficiency using nonparametric methods on platform data. • Compares private and public platforms using a unified matching framework. • Finds higher responsiveness and volatility in private, scout-based matching. • Policy section links findings to Japan’s ongoing Hello Work reforms.

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https://doi.org/https://doi.org/10.1016/j.jjie.2025.101394

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@article{suguru2025,
  title        = {{Nonparametric estimation of matching efficiency and elasticity on a private on-the-job search platform: Evidence from Japan, 2014–2024}},
  author       = {Suguru Otani},
  journal      = {Journal of the Japanese and International Economies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jjie.2025.101394},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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