EconPapers    
Economics at your fingertips  
 

Why Do Firms (Dis)Like Part-Time Contracts?

Francesco Devicienti (), Elena Grinza and Davide Vannoni

No 52, Working papers from Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino

Abstract: This paper investigates the full-time/part-time wage gap by using matched employer-employee data on the entire population of workers and firms in Italy over a 32-year period. Relying on regression models that control for worker, firm, and match fixed effects, we find that part-time work attracts a wage premium compared to full-time work. This finding, coupled with the detrimental effect of part-time work on productivity documented by Devicienti et al. (2018), explains why firms are often unwilling to concede part-time positions to employees asking for them.

Keywords: Part-time/full-time wage gap; matched employer-employee panel data; multiple fixed effects regressions. (search for similar items in EconPapers)
JEL-codes: J22 J31 J53 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2018-05
New Economics Papers: this item is included in nep-bec, nep-cta, nep-eur and nep-hrm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.bemservizi.unito.it/repec/tur/wpapnw/m52.pdf First version, 2018 (application/pdf)

Related works:
Journal Article: Why do firms (dis)like part-time contracts? (2020) Downloads
Working Paper: Why Do Firms (Dis)Like Part-Time Contracts? (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tur:wpapnw:052

Access Statistics for this paper

More papers in Working papers from Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino Contact information at EDIRC.
Bibliographic data for series maintained by Daniele Pennesi ().

 
Page updated 2025-03-24
Handle: RePEc:tur:wpapnw:052