MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Paying Outsourced Labor: Direct Evidence from Linked Temp Agency-Worker-Client Data

Author(s)
Drenik, Andres; Jäger, Simon; Plotkin, Pascuel; Schoefer, Benjamin
Thumbnail
DownloadAccepted version (693.2Kb)
Publisher Policy

Publisher Policy

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Abstract
<jats:title>Abstract</jats:title> <jats:p>We estimate how much firms differentiate pay premia between regular and outsourced workers in temp agency work arrangements. We leverage unique Argentinian administrative data that feature links between user firms (the workplaces where temp workers perform their labor) and temp agencies (their formal employers). We estimate that a high-wage user firm that pays a regular worker a 10% premium pays a temp worker on average only a 4.9% premium, compared to what these workers would earn in a low-wage user firm in their respective work arrangements—the midpoint between the benchmarks for insiders (one) and the competitive spot-labor market (zero).</jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/145188
Department
Massachusetts Institute of Technology. Department of Economics
Journal
The Review of Economics and Statistics
Publisher
MIT Press - Journals
Citation
Drenik, Andres, Jäger, Simon, Plotkin, Pascuel and Schoefer, Benjamin. 2021. "Paying Outsourced Labor: Direct Evidence from Linked Temp Agency-Worker-Client Data." The Review of Economics and Statistics.
Version: Author's final manuscript

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.