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Network effects across the earnings distribution: Payoffs to visible and invisible job finding assistance
Institution:1. The University of Texas at Dallas and NBER Economics Program, The University of Texas at Dallas, 800 West Campbell Road, WT21, Richardson 75080, TX, United States;2. Michigan State University and NBER, Department of Economics, Michigan State University, 486 W Circle Dr., 110 Marshall-Adams Hall, East Lansing, 48824 MI, United States;3. Cornell University and NBER, Department of Economics, Cornell University, 418 Uris Hall, Ithaca, NY 14853, NY, United States
Abstract:This study makes three critical contributions to the “Do Contacts Matter?” debate. First, the widely reported null relationship between informal job searching and wages is shown to be mostly the artifact of a coding error and sample selection restrictions. Second, previous analyses examined only active informal job searching without fully considering the benefits derived from unsolicited network assistance (the “invisible hand of social capital”) – thereby underestimating the network effect. Third, wage returns to networks are examined across the earnings distribution. Longitudinal data from the NLSY reveal significant wage returns for network-based job finding over formal job searching, especially for individuals who were informally recruited into their jobs (non-searchers). Fixed effects quantile regression analyses show that contacts generate wage premiums among middle and high wage jobs, but not low wage jobs. These findings challenge conventional wisdom on contact effects and advance understanding of how social networks affect wage attainment and inequality.
Keywords:Networks  Contacts  Social capital  Wages  Job search
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