JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality

Luca Coraggio, Marco Pagano, Annalisa Scognamiglio and Joacim Tåg
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Annalisa Scognamiglio: University of Naples Federico II

No 2205, EIEF Working Papers Series from Einaudi Institute for Economics and Finance (EIEF)

Abstract: Does the matching between workers and jobs help explain productivity differentials across firms? To address this question we develop a job-worker allocation quality measure (JAQ) by combining employer-employee administrative data with machine learning techniques. The proposed measure is positively and significantly associated with labor earnings over workers’ careers. At firm level, it features a robust positive correlation with firm productivity, and with managerial turnover leading to an improvement in the quality and experience of management. JAQ can be constructed for any employer-employee data including workers’ occupations, and used to explore the effect of corporate restructuring on workers’ allocation and careers.

Pages: 38 pages
Date: 2022, Revised 2022-03
New Economics Papers: this item is included in nep-bec, nep-big, nep-eff, nep-hrm, nep-lma and nep-ltv
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Related works:
Journal Article: JAQ of all trades: Job mismatch, firm productivity and managerial quality (2025)
Working Paper: JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality (2024)
Working Paper: JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:eie:wpaper:2205

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