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

Principal Investigator(s):  View help for Principal Investigator(s) Santiago Caicedo; Robert E., Jr. Lucas; Esteban Rossi-Hansberg

Version:  View help for Version V1

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LICENSE.txt text/plain 14.6 KB 10/12/2019 04:40:PM

Project Citation: 

Caicedo, Santiago, Lucas, Robert E., Jr., and Rossi-Hansberg, Esteban. Replication data for: Learning, Career Paths, and the Distribution of Wages. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114162V1

Project Description

Summary:  View help for Summary 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.

Scope of Project

Subject Terms:  View help for Subject Terms Wage Distribution
JEL Classification:  View help for JEL Classification
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1990 – 2010
Universe:  View help for Universe US Census Data from IPUMS
Data Type(s):  View help for Data Type(s) survey data; census/enumeration data; aggregate data

Methodology

Data Source:  View help for Data Source IPUMS
Unit(s) of Observation:  View help for Unit(s) of Observation Household,

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Published Versions

V1 [2019-10-12]

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