TY - JOUR
T1 - Job polarization, structural transformation and biased technological change
AU - Bárány, Zsófia L.
AU - Siegel, Christian
N1 - Publisher Copyright:
© 2019, Dares. All rights reserved.
PY - 2019
Y1 - 2019
N2 - By reviewing our work in Bárány, Siegel (2018a, 2018b), this article emphasizes the link between job polarization and structural change. We summarize evidence that job polarization in the United States has started as early as the 1950s: middle-wage workers have been losing both in terms of employment and average wage growth compared to low-and high-wage workers. Furthermore, at least since the 1960s the same patterns for both employment and wages have been discernible in terms of three broad sectors: low-skilled services, manufacturing and high-skilled services, and these two phenomena are closely linked. Finally, we propose a model where technology evolves at the sector-occupation cell level that can capture the employment reallocation across sectors, occupations, and within sectors. We show that this framework can be used to assess what type of biased technological change is the driver of the observed reallocations. The data suggests that technological change has been biased not only across occupations or sectors, but also across sector-occupation cells.
AB - By reviewing our work in Bárány, Siegel (2018a, 2018b), this article emphasizes the link between job polarization and structural change. We summarize evidence that job polarization in the United States has started as early as the 1950s: middle-wage workers have been losing both in terms of employment and average wage growth compared to low-and high-wage workers. Furthermore, at least since the 1960s the same patterns for both employment and wages have been discernible in terms of three broad sectors: low-skilled services, manufacturing and high-skilled services, and these two phenomena are closely linked. Finally, we propose a model where technology evolves at the sector-occupation cell level that can capture the employment reallocation across sectors, occupations, and within sectors. We show that this framework can be used to assess what type of biased technological change is the driver of the observed reallocations. The data suggests that technological change has been biased not only across occupations or sectors, but also across sector-occupation cells.
UR - http://www.scopus.com/inward/record.url?scp=85075315043&partnerID=8YFLogxK
U2 - 10.4000/travailemploi.8996
DO - 10.4000/travailemploi.8996
M3 - Article
AN - SCOPUS:85075315043
SN - 0224-4365
VL - 2019
SP - 25
EP - 44
JO - Travail et Emploi
JF - Travail et Emploi
IS - 157
ER -