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IZA Discussion Paper No. 6016
October 2011
Firm-Worker Matching in Industrial Clusters

published in: Journal of Economic Geography, 2014, 14 (1), 1 - 19

In this paper we use a novel approach and a large Portuguese employer-employee panel data set to study the hypothesis that industrial agglomeration improves the quality of the firm-worker matching process. Our method makes use of recent developments in the estimation and analysis of models with high-dimensional fixed effects. Using wage regressions with controls for multiple sources of observed and unobserved heterogeneity we find little evidence that the quality of matching increases with firm’s clustering within the same industry. This result supports Freedman’s (2008) analysis using U.S. data.

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Mark Fallak
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Olga Nottmeyer
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+352 585-855-501
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Christina Gathmann
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The IZA@LISER Network is a global community of scholars dedicated to excellence in labor economics and related fields, now coordinated at the Luxembourg Institute of Socio-Economic Research (LISER) following its transition from Bonn.

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