Internal labor markets: A worker flow approach
Ingrid Huitfeldt,
Andreas R. Kostøl,
Jan Nimczik and
Andrea Weber
Journal of Econometrics, 2023, vol. 233, issue 2, 661-688
Abstract:
This paper develops a new method to study how workers’ career and wage profiles are shaped by internal labor markets (ILM) and job hierarchies in firms. We tackle the conceptual challenge of organizing jobs within firms into hierarchy levels by proposing a data-driven ranking method based on observed worker flows between occupations within firms. We apply our method to linked employer–employee data from Norway that record fine-grained occupational codes and track contract changes within firms. Our findings confirm existing evidence that is primarily based on case studies for single firms. We expand on this by documenting substantial heterogeneity in the structure and hierarchy of ILMs across a broad range of large firms. Our findings on wage and promotion dynamics in ILMs are consistent with models of careers in organizations.
Keywords: Internal labor markets; Organization of labor; Wage setting (search for similar items in EconPapers)
JEL-codes: J31 J62 M5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440762200063X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Internal Labor Markets: A Worker Flow Approach (2021) 
Working Paper: Internal Labor Markets: A Worker Flow Approach (2021) 
Working Paper: Internal Labor Markets: A Worker Flow Approach (2021) 
Working Paper: Internal labor markets. A worker flow approach (2021) 
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:eee:econom:v:233:y:2023:i:2:p:661-688
DOI: 10.1016/j.jeconom.2021.12.016
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().