Global Engagement, Complex Tasks, and the Distribution of Occupational Employment

Carl Davidson (), Fredrik Heyman, Steven Matusz, Fredrik Sjöholm and Susan Chun Zhu ()
Additional contact information
Carl Davidson: Michigan State University, https://www.msu.edu/~davidso4/

No 2015:31, Working Papers from Lund University, Department of Economics

Abstract: Building on a framework introduced by Chaney and Ossa (2013), we construct a task-based model of the firm’s choice of occupational inputs to examine how that choice varies with greater global engagement. We depart from Chaney and Ossa by assuming that more complex tasks are more costly to complete. Within the structure of our model, firms skew employment toward occupations engaged in more complex tasks. Moreover, the distribution of employment is more skewed for more globalized firms, while it is less skewed for larger firms. These results are consistent with our empirical findings in Davidson, et al (2015).

Keywords: Globalization; Firms; Tasks; Employment (search for similar items in EconPapers)
JEL-codes: F10 F16 F66 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2015-10-07
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://project.nek.lu.se/publications/workpap/papers/wp15_31.pdf (application/pdf)

Related works:
Journal Article: Global Engagement, Complex Tasks and the Distribution of Occupational Employment (2016)
Working Paper: Global Engagement, Complex Tasks, and the Distribution of Occupational Employment (2015)
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:hhs:lunewp:2015_031

Access Statistics for this paper

More papers in Working Papers from Lund University, Department of Economics School of Economics and Management, Box 7080, S-22007 Lund, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by Iker Arregui Alegria ().