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The top candidate is an intermediate one: An analysis of online posts of Veneto industries

  • Luigi Fabbris

The paper describes the results of an experimental study carried out by sending bogus CVs in response to online posts. To each post related to a job vacation in a Veneto industry a number of five CVs was created and sent. The CVs were created so to experimentally evaluate the likelihood of discrimination against certain categories of candidates. The variability of call back rates of the addressed industries was analysed to elicit possible relationships between recruiters’ taste and gender, nationality, academic curriculum and other social characteristics of applicants. Contrary to expectations, women obtained more call backs than male counterparts and graduates in a social or humanistic discipline were called back more than graduates in a scientific or technical one. Even the possession of a car was negatively evaluated by recruiters. As expected, instead, foreign-born candidates obtained far less call backs than Italian ones. A multivariate analysis drew us to the conclusion that the largest part of online posts was destined to candidates who belonged to intermediate categories, that is, to candidates being the best once the bottom and the top candidates were skimmed. The worst candidates were excluded for intuitive reasons, while the excellent ones – we conjecture – were left aside because recruiters guessed they would demand more than companies were available to give. These outcomes could help graduates in their duty of preparing an ad hoc CV.

  • Keywords:
  • Online posts,
  • Correspondence study,
  • Social discrimination,
  • Fresh graduates,
  • Bogus CV,
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Luigi Fabbris

University of Padua, Italy - ORCID: 0000-0001-8657-8361

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  • Publication Year: 2021
  • Pages: 19-24
  • Content License: CC BY 4.0
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  • Publication Year: 2021
  • Content License: CC BY 4.0
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Chapter Information

Chapter Title

The top candidate is an intermediate one: An analysis of online posts of Veneto industries

Authors

Luigi Fabbris

DOI

10.36253/978-88-5518-461-8.05

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Table of Contents

Book Title

ASA 2021 Statistics and Information Systems for Policy Evaluation

Book Subtitle

BOOK OF SHORT PAPERS of the on-site conference

Editors

Alessandra Petrucci, Bruno Bertaccini, Luigi Fabbris

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-461-8

eISBN (pdf)

978-88-5518-461-8

eISBN (xml)

978-88-5518-462-5

Series Title

Proceedings e report

Series Issn ISSN

2704-601X

Series E-Issn

2704-5846

28

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