Internal labor markets: A worker flow approach

A-Tier
Journal: Journal of Econometrics
Year: 2023
Volume: 233
Issue: 2
Pages: 661-688

Authors (4)

Huitfeldt, Ingrid (Government of Norway) Kostøl, Andreas R. (not in RePEc) Nimczik, Jan (not in RePEc) Weber, Andrea (Centre for Economic Policy Res...)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:econom:v:233:y:2023:i:2:p:661-688
Journal Field
Econometrics
Author Count
4
Added to Database
2026-01-29