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dc.contributor.authorBarth, Erling
dc.contributor.authorDavis, James Creece
dc.contributor.authorFreeman, Richard
dc.date.accessioned2018-01-26T07:48:13Z
dc.date.available2018-01-26T07:48:13Z
dc.date.created2017-12-21T11:34:49Z
dc.date.issued2018
dc.identifier.citationJournal Labor Economics. 2018, 36 S71-S97.
dc.identifier.issn0734-306X
dc.identifier.urihttp://hdl.handle.net/11250/2479752
dc.description.abstractWe augment standard log earnings equations for workers in US manufacturing with variables reflecting measured and unmeasured attributes of their employer. Using panel employee-establishment data, we find that establishment-level employment, education of coworkers, capital equipment per worker, and firm-level R&D intensity affects earnings substantially. Unobserved characteristics of employers captured by employer fixed effects also contribute to the variance of log earnings, although less than unobserved characteristics of individuals captured by individual fixed effects. The observed and unobserved measures of employers mediate the effects of individual characteristics on earnings and increase earnings inequality through sorting of workers among establishments
dc.language.isoeng
dc.titleAugmenting the Human Capital Earnings Equation With Measures of Where People Work
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersion
dc.source.pagenumberS71-S97
dc.source.volume36
dc.source.journalJournal Labor Economics
dc.identifier.doihttps://doi.org/10.1086/694187
dc.identifier.cristin1530907
dc.relation.projectNorges forskningsråd: 236786
dc.relation.projectNorges forskningsråd: 202647
dc.relation.projectNorges forskningsråd: 179552
cristin.unitcode7437,0,0,0
cristin.unitnameInstitutt for samfunnsforskning
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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