Learning, Career Paths, and the Distribution of Wages

Serie

• NBER Working Papers

Resumen

• 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.

autores

• Caicedo, Santiago
• Lucas, Robert E.
• Rossi-Hansberg, Esteban

fecha de publicación

• 2016-04

Área temática

• E25 - Factores agregados de la distribución de la renta
• J24 - Capital humano; Cualificación; Elección de ocupación; Productividad del trabajo
• J31 - Nivel y estructura salarial; Diferencias salariales
• O3 - Innovación; investigación y desarrollo (I+D); cambio tecnológico; derechos de propiedad intelectual
• O4 - Crecimiento económico y productividad agregada

Enfoque geográfico

• North America  Continent
• United States of America  Country

Issue

• 22151