Skill-Biased Structural Change

S-Tier
Journal: Review of Economic Studies
Year: 2022
Volume: 89
Issue: 2
Pages: 592-625

Authors (4)

Francisco J Buera (not in RePEc) Joseph P Kaboski (University of Notre Dame) Richard Rogerson (Princeton University) Juan I Vizcaino (not in RePEc)

Score contribution per author:

2.011 = (α=2.01 / 4 authors) × 4.0x S-tier

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

Abstract

Using a broad panel of advanced economies, we document that increases in GDP per capita are associated with a systematic shift in the composition of value added to sectors that are intensive in high-skill labour, a process we label as skill-biased structural change. It follows that further development in these economies leads to an increase in the relative demand for skilled labour. We develop a quantitative two-sector model of this process as a laboratory to assess the sources of the rise of the skill premium in the U.S. and a set of ten other advanced economies, over the period 1977 to 2005. For the U.S., we find that the sector-specific skill neutral component of technical change accounts for 18–24% of the overall increase of the skill premium due to technical change, and that the mechanism through which this component of technical change affects the skill premium is via skill-biased structural change.

Technical Details

RePEc Handle
repec:oup:restud:v:89:y:2022:i:2:p:592-625.
Journal Field
General
Author Count
4
Added to Database
2026-01-25