Working Paper: NBER ID: w22151
Authors: Santiago Caicedo; Robert E. Lucas Jr.; Esteban Rossi-Hansberg
Abstract: We develop a theory of career paths and earnings in an economy in which agents organize in production hierarchies. Agents climb these organizational hierarchies as they learn stochastically from other individuals. Earnings grow over time as agents acquire knowledge and occupy positions with larger numbers of subordinates. We contrast these and other implications of the theory with U.S. census data for the period 1990 to 2010. The model matches well the Lorenz curve of earnings as well as the observed mean experience-earnings profiles. We show that the increase in wage inequality over this period can be rationalized with a shift in the distribution of the complexity and profitability of technologies relative to the distribution of knowledge in the population.
Keywords: career paths; wage distribution; inequality; learning; hierarchies
JEL Codes: E25; J24; J31; O3; O4
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| knowledge acquisition (D83) | wage growth (J31) |
| individual learning (C91) | wage outcomes (J31) |
| technological advancements (O33) | wage disparities (J31) |
| complexity and profitability of technologies (O33) | distribution of knowledge (D30) |
| distribution of knowledge (D30) | wage inequality (J31) |
| agents' hierarchical position (L85) | earnings (J31) |