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Discriminations dans l’accès à l’emploi: une exploration localisée en pays Avesnois

Denis Anne, Sylvain Chareyron, Mathilde Leborgne, Yannick L’Horty and Pascale Petit
Authors registered in the RePEc Author Service: Yannick L'Horty ()

Revue d'économie régionale et urbaine, 2022, vol. Juin, issue 3, 413-430

Abstract: Most discrimination tests are conducted on a regional or national scale. However, local labor market situations are very different from one city to another, in terms of the socio-demographic composition of job seekers, the structure of the productive fabric and the degree of local tension between labor supply and demand. This study exploits the first labor market discrimination test conducted on the scale of all firms in a thin territory in northern France: the Avesnois, which corresponds to an administrative district of 230,000 inhabitants. We use the results of a matching test conducted on a sample of nearly 1,000 firms, drawn at random from a set of 9,000 legal units. At the beginning of October 2020, we sent 2,000 unsolicited applications to these employers, making it possible to measure discrimination on the basis of presumed North African origin and residence in a priority district (with a high poverty rate), for both men and women. The results are original and unexpected. In this territory and in the exceptional context of a strong economic depression, between the two confinements imposed in reaction to the health crisis, we do not detect discrimination according to origin at the usual thresholds of statistical significance, but we do detect a stigma effect associated with a place of residence in a priority district of the city policy. This residential discrimination effect exists only for men and reduces their chances of getting a job interview by 65%. The difference in response rate between a woman residing in a City policy Priority District (CPD) and a woman residing in a neutral neighbourhood is not significant. The penalty induced by the place of residence is therefore gender sensitive.

Keywords: discrimination; employment; matching test (search for similar items in EconPapers)
Date: 2022
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