Marshallian Labor Market Pooling: Evidence from Italy

Monica Andini, Guido de Blasio, Gilles Duranton and William Strange

ERSA conference papers from European Regional Science Association

Abstract: Marshallian Labor Market Pooling: Evidence from Italy This paper employs a unique Italian data source to take a comprehensive approach to labor market pooling. It jointly considers many different aspects of the agglomeration labor market relationship, including turnover, learning, matching, and hold up. It also considers labor market pooling from the perspective of both workers and firms and across a range of industries. The paper reports a general positive relationship of turnover to local population density, which is consistent with theories of agglomeration and uncertainty. The paper also finds evidence of on-the-job learning that is consistent with theories of labor pooling, labor poaching, and hold up. In addition, the paper provides evidence consistent with agglomeration improving job matches. However, the labor market pooling gains that we measure are unlikely to account for a significant share of the agglomeration benefits accruing to worker and firms. Keywords: local labor markets, matching, turnover, learning, holdup, agglomeration JEL classification: R23, J60

Date: 2012-10
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Related works:
Journal Article: Marshallian labour market pooling: Evidence from Italy (2013)
Working Paper: Marshallian labor market pooling: evidence from Italy (2013)
Working Paper: Marshallian labor market pooling: evidence from Italy (2012)
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