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Replication data for: Learning, Career Paths, and the Distribution of Wages

Resource Type
  • Caicedo, Santiago
  • Lucas, Robert E., Jr.
  • Rossi-Hansberg, Esteban
Publication Date
  • Abstract

    We develop a theory of career paths and earnings where agents organize in production hierarchies. Agents climb these hierarchies as they learn stochastically from others. Earnings grow as agents acquire knowledge and occupy positions with more subordinates. We contrast these and other implications with US census data for the period 1990 to 2010, matching the Lorenz curve of earnings and the observed mean experience-earnings profiles. We show the increase in wage inequality over this period can be rationalized with a shift in the level of the complexity and profitability of technologies relative to the distribution of knowledge in the population.
  • Is supplement to
    DOI: 10.1257/mac.20170390 (Text)
  • Caicedo, Santiago, Robert E. Lucas, and Esteban Rossi-Hansberg. “Learning, Career Paths, and the Distribution of Wages.” American Economic Journal: Macroeconomics 11, no. 1 (January 2019): 49–88.
    • ID: 10.1257/mac.20170390 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-13

Caicedo, Santiago; Lucas, Robert E., Jr.; Rossi-Hansberg, Esteban (2019): Replication data for: Learning, Career Paths, and the Distribution of Wages. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.