Showing 1 – 3 of 3 results.
Self-published
Replication data for: Sectoral Technology and Structural Transformation (ICPSR 114062)
Released/updated on: 2019-10-12
We assess how the properties of technology affect structural transformation, i.e., the reallocation of production factors across the broad sectors of agriculture, manufacturing, and services. To this end, we estimate sectoral constant elasticity of substitution (CES) and Cobb-Douglas production functions on postwar US data. We find that differences in technical progress across the three sectors are the dominant force behind structural transformation whereas other differences across sectoral technology are of second order importance. Our findings imply that Cobb-Douglas sectoral production functions that differ only in technical progress capture the main technological forces behind the postwar US structural transformation. (JEL E16, E25, O33, O47)
Self-published
Replication data for: Wages, Human Capital, and Barriers to Structural Transformation (ICPSR 231507)
Released/updated on: 2025-05-30
We document for 13 countries ranging from rich (Canada, United States) to poor (India, Indonesia) that average wages are considerably lower in agriculture than in the other sectors. Moreover, agriculture has less educated workers and lower Mincer returns. We view these findings through the lens of a multi-sector model in which workers differ in observed and unobserved characteristics and sectors differ in their human-capital intensities. We derive expressions for the implied barriers to the reallocation of labor out of agriculture. We find that in our sample these barriers are considerably smaller than what the macro-development literature has argued.
Self-published
Wages, Human Capital, and Barriers to Structural Transformation (ICPSR 151141)
Released/updated on: 2021-09-29
Geographic coverage: United States
Time period: 1979-01-01--2013-01-01
We document for 13 countries ranging from rich (Canada, U.S.) to poor (India, Indonesia) that average wages are considerably lower in agriculture than in the other sectors. Moreover, agriculture has less educated workers and lower Mincer returns.
We view these findings through the lens of a multi-sector model in which workers differ
in observed and unobserved characteristics and sectors differ in their human–capital
intensities. We derive expressions for the implied barriers to the reallocation of labor
out of agriculture. We find that in our sample these barriers are considerably smaller
than what the macro–development literature has argued.