 NETWORK SEARCH: CLIMBING THE JOB LADDER FASTERMarcelo Arbex, Dennis O'Dea and David Wiczer International Economic Review, 2019, vol. 60, issue 2, 693-720 Abstract: We introduce an irregular network structure into a model of frictional, on‐the‐job search in which workers find jobs through their network connections or directly from firms. We show network‐found jobs have higher wages, and thus better‐connected workers climb the job ladder faster. The mean field approach allows us to formulate heterogeneous workers' recursive problem tractably. Our calibration is consistent with several empirical findings because of a composition—not information—effect. We also introduce new model‐consistent evidence: Job‐to‐job switches at higher ladder rungs are more likely to use networks. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:iecrev:v:60:y:2019:i:2:p:693-720 Ordering information: This journal article can be ordered from Access Statistics for this article International Economic Review is currently edited by Michael O'Riordan and Dirk Krueger More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC. |
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