Full Citation

Title: Biased technological change and employment reallocation

Citation Type: Journal Article

Publication Year: 2020

ISBN:

ISSN: 0927-5371

DOI: 10.1016/J.LABECO.2020.101930

NSFID:

PMCID:

PMID:

Abstract: To study the drivers of the employment reallocation across sectors and occupations between 1960 and 2017 in the US we present a model where technology evolves at the sector-occupation cell level. Drawing on key equations of the production side we infer technologies directly from the data. We assess the magnitude of neutral, sector-, and occupation-specific components in technological change and study their consequences for labor market outcomes in general equilibrium where occupational choice and demands for sectoral outputs change endogenously with technology. Our findings indicate a major role for occupation-specific technological changes.

Url: https://www-sciencedirect-com.ezp2.lib.umn.edu/science/article/pii/S0927537120301342

User Submitted?: No

Authors: Bárány, Zsófia L.; Siegel, Christian

Periodical (Full): Labour Economics

Issue:

Volume: 67

Pages: 101930

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure

Countries: