Statistical profiling of unemployed jobseekers : the increasing availability of big data allows for the profiling of unemployed jobseekers via statistical models

Van Landeghem, B. orcid.org/0000-0001-6759-8893, Desiere, S. and Struyven, L. (2021) Statistical profiling of unemployed jobseekers : the increasing availability of big data allows for the profiling of unemployed jobseekers via statistical models. IZA World of Labor. 483. ISSN 2054-9571

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Author(s). This is an author-produced version of a working paper published in IZA World of Labor. For re-use permissions, please contact the authors.
Keywords: Statistical Profiling; Long-term Unemployment; Benefit Exhaustion; Labour Market Discrimination
Dates:
  • Accepted: 11 October 2020
  • Published (online): February 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Oct 2020 10:41
Last Modified: 09 Feb 2021 08:07
Status: Published
Publisher: IZA-Institute of Labor Economics
Refereed: Yes
Identification Number: https://doi.org/10.15185/izawol.483
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