Replication data for: Estimating Marginal Returns to Education

Principal Investigator(s): View help for Principal Investigator(s) Pedro Carneiro; James J. Heckman; Edward J. Vytlacil

Version: View help for Version V1

Name	File Type	Size	Last Modified
replication_aer			10/11/2019 04:09:PM
LICENSE.txt	text/plain	14.6 KB	10/11/2019 12:09:PM

Project Citation:

Carneiro, Pedro, Heckman, James J., and Vytlacil, Edward J. Replication data for: Estimating Marginal Returns to Education. Nashville, TN: American Economic Association [publisher], 2011. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112467V1

Project Description

Summary: This paper estimates marginal returns to college for individuals induced to enroll in college by different marginal policy changes. The recent instrumental variables literature seeks to estimate this parameter, but in general it does so only under strong assumptions that are tested and found wanting. We show how to utilize economic theory and local instrumental variables estimators to estimate the effect of marginal policy changes. Our empirical analysis shows that returns are higher for individuals with values of unobservables that make them more likely to attend college. We contrast our estimates with IV estimates of the return to schooling. (JEL I23, J24, J31)

Scope of Project

JEL Classification:
      I23 Higher Education; Research Institutions
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials

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Published Versions

V1 [2019-10-11]

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