Do labor market networks have an important spatial dimension?

Judith K. Hellerstein (), Mark Kutzbach and David Neumark
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Judith K. Hellerstein: University of Maryland & NBER

No 2013/20, Working Papers from Institut d'Economia de Barcelona (IEB)

Abstract: We test for evidence of spatial, residence-based labor market networks. Turnover is lower for workers more connected to their neighbors generally and more connected to neighbors of the same race or ethnic group. Both results are consistent with networks producing better job matches, while the latter could also reflect preferences for working with neighbors of the same race or ethnicity. For earnings, we find a robust positive effect of the overall residence-based network measure, whereas we usually find a negative effect of the same-group measure, suggesting that the overall network measure reflects productivity-enhancing positive network effects, while the same-group measure may capture a non-wage amenity.

Keywords: Networks; job matches; wages; turnover (search for similar items in EconPapers)
JEL-codes: J15 J30 J63 (search for similar items in EconPapers)
Pages: 56 pages
Date: 2013
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Citations: View citations in EconPapers (2)

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http://ieb.ub.edu/wp-content/uploads/2018/04/2013-IEB-WorkingPaper-20.pdf (application/pdf)

Related works:
Journal Article: Do labor market networks have an important spatial dimension? (2014)
Working Paper: Do Labor Market Networks Have An Important Spatial Dimension? (2013)
Working Paper: Do Labor Market Networks Have An Important Spatial Dimension? (2012)
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