Data and Code for: The Relative Efficiency of Skilled Labour across Countries: Measurement and Interpretation

Principal Investigator(s): View help for Principal Investigator(s) Federico Rossi, University of Warwick

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Project Citation:

Rossi, Federico. Data and Code for: The Relative Efficiency of Skilled Labour across Countries: Measurement and Interpretation. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-22. https://doi.org/10.3886/E146041V1

Project Description

Summary: I study how the relative efficiency of high- and low-skill labor varies across countries. Using micro data for countries at different stages of development, I document that differences in relative quantities and wages are consistent with high-skill workers being relatively more productive in rich countries. I exploit variation in the skill premia of foreign-educated migrants to discriminate between two possible drivers of this pattern: cross-country differences in the skill bias of technology and in the relative human capital of skilled labor. I find that the former is quantitatively more important, and discuss the implications of this result for development accounting.

Scope of Project

JEL Classification:
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      I25 Education and Economic Development
      O11 Macroeconomic Analyses of Economic Development
      O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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Published Versions

V1 [2021-12-22]

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