Supervision and Work Content: Industry level evidence
André Cieplinski ()
Department of Economics University of Siena from Department of Economics, University of Siena
Abstract:
The existence of a trade-off between supervision and wages has proven to be a challenging empirical issue due to the lack of direct measures of supervision and its simultaneous setting with wages. This article proposes a novel measure of supervisory frequency and an explanation based on an old idea, namely that firm's choice depends on how difficult it is to monitor the workers they employ. We test this hypothesis using occupational level data on the frequency of super-visory detailed work activities and measures of work content. At the industry level the analysis suggests supervision increases with the complexity of the activities performed by workers, hence, in striking contrast to previous studies relying on the ratio of supervisors to employees, industries that employ more workers performing non-routine cognitive activities also rely on supervision the most. Moreover, at the individual level there is no evidence of a trade-off but only weak evidence of a positive relation between wages and supervision which seems to be a complement rather than a substitute to wage incentives.
Keywords: Labour Economics; Industrial Relations; Supervision; Monitoring; Eciency Wages; Job Polarization (search for similar items in EconPapers)
JEL-codes: J01 J31 J50 O33 (search for similar items in EconPapers)
Date: 2018-02
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://repec.deps.unisi.it/quaderni/776.pdf (application/pdf)
Related works:
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:usi:wpaper:776
Access Statistics for this paper
More papers in Department of Economics University of Siena from Department of Economics, University of Siena Contact information at EDIRC.
Bibliographic data for series maintained by Fabrizio Becatti ().