My da|ra Login

Detailed view

metadata language: English

Data and Code for: Extending the Race between Education and Technology

Version
1
Resource Type
Dataset
Creator
  • Katz, Lawrence (Harvard University. Department of Economics)
  • Goldin, Claudia (Harvard University. Department of Economics)
  • Autor, David (MIT)
Publication Date
2020-08-25
Free Keywords
Human Capital; Returns to Education; Wage Structure
Description
  • Abstract

    The race between education and technology provides a canonical framework that does an excellent job of explaining US wage structure changes across the twentieth century. The framework involves secular increases in the demand for more-educated workers from skill-biased technological change, combined with variations in the supply of skills from changes in educational access. We expand the analysis backwards and forwards. The framework helps explain rising skill differentials in the nineteenth and twenty-first centuries, but needs to be augmented to illuminate the recent convexification of education returns and implied slowdown in the growth of the relative demand for college workers. Increased educational wage differentials explain 75 percent of the rise of U.S. wage inequality from 1980 to 2000 as compared to 38 percent for 2000 to 2017.
Availability
Download
This study is freely available to the general public via web download.
Relations
  • Is supplement to
    DOI: 10.1257/pandp.20201061 (Text)
Publications
  • Autor, David, Claudia Goldin, and Lawrence F. Katz. “Extending the Race between Education and Technology.” AEA Papers and Proceedings 110 (May 1, 2020): 347–51. https://doi.org/10.1257/pandp.20201061.
    • ID: 10.1257/pandp.20201061 (DOI)

Update Metadata: 2020-08-27 | Issue Number: 1 | Registration Date: 2020-08-27

Katz, Lawrence; Goldin, Claudia; Autor, David (2020): Data and Code for: Extending the Race between Education and Technology. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E120694V1