Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes
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We use a novel research design to empirically detect the effect of social interactions among neighbors on labor market outcomes. Specifically, using Census data that characterize residential and employment locations down to the city block, we examine whether individuals residing in the same block are more likely to work together than those in nearby blocks. We find evidence of significant social interactions operating at the block level: residing on the same versus nearby blocks increases the probability of working together by over 33 percent. The results also indicate that this referral effect is stronger when individuals are similar in socio-demographic characteristics (e.g., both have children of similar ages) and when at least one individual is well attached to the labor market. These findings are robust across various specifications intended to address concerns related to sorting and reverse causation. Further, having determined the characteristics of a pair of individuals that lead to an especially strong referral effect, we provide evidence that the increased availability of neighborhood referrals has a significant impact on a wide range of labor market outcomes including labor force participation, hours and earnings.
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Gilhuly Family Professor in Economics
Bayer's research focuses on wide range of subjects including racial inequality and segregation, social interactions, housing markets, education, and crime. He has received numerous grants from the National Science Foundation, Social Science and Humanities Council of Canada, and the US Department of Education. His most recent work has been published in the Quarterly Journal of Economics, the Journal of Political Economy, the Journal of Environmental Economics, and American Economics Association