Voluntary quality disclosure in the Labour market

We study the transmission by jobseekers to prospective employers of information about their own quality. Data from the UK website Monster.co.uk suggests around one-third-of recent graduates opt not to reveal their degree classification, an important measure of academic quality, to employers. To test how employers react to such non-disclosure, we ran a natural field experiment. We constructed CVs supposedly belonging to recent graduates and varied the information provided about their degree classifications. The CVs were used to make 12,301 applications for graduate jobs advertised on Monster.co.uk between 2019 and 2021, with success measured by the rate of positive responses from employers. Applications leaving classification undisclosed were significantly more successful than those disclosing the lowest possible classification. This suggests limited adverse inference is drawn from missing information. We discuss our results with reference to classic ‘unravelling’ theory, in which undisclosed information is treated with full scepticism and all but the very worst quality information is voluntarily transmitted.

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Publication Details

Journal
Journal of Economic Behavior & Organization
Published
2025-07-21
DOI
https://doi.org/10.1016/j.jebo.2025.107152
Primary Topic
Names, Identity, and Discrimination Research
Type
article
Field-Weighted Citation Impact
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article

Voluntary quality disclosure in the Labour market

Tom Lane, Minghai Zhou
Journal of Economic Behavior & Organization
Names, Identity, and Discrimination Research
article

Voluntary quality disclosure in the Labour market

Tom Lane, Minghai Zhou
article en

Abstract

We study the transmission by jobseekers to prospective employers of information about their own quality. Data from the UK website Monster.co.uk suggests around one-third-of recent graduates opt not to reveal their degree classification, an important measure of academic quality, to employers. To test how employers react to such non-disclosure, we ran a natural field experiment. We constructed CVs supposedly belonging to recent graduates and varied the information provided about their degree classifications. The CVs were used to make 12,301 applications for graduate jobs advertised on Monster.co.uk between 2019 and 2021, with success measured by the rate of positive responses from employers. Applications leaving classification undisclosed were significantly more successful than those disclosing the lowest possible classification. This suggests limited adverse inference is drawn from missing information. We discuss our results with reference to classic ‘unravelling’ theory, in which undisclosed information is treated with full scepticism and all but the very worst quality information is voluntarily transmitted.

Journal of Economic Behavior & OrganizationVol. 237
Newcastle University (GB), Zhejiang University of Finance and Economics (CN)
Reduced inequalities
Openalex Percentile: Top 76%
Names, Identity, and Discrimination Research
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Voluntary quality disclosure in the Labour market — Tom Lane, Minghai Zhou · Journal of Economic Behavior & Organization (2025) | TGRS Research Map | TGRS