Causal Returns to Education. EdWorkingPaper No. 25-1272

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Bibliographic Details
Title: Causal Returns to Education. EdWorkingPaper No. 25-1272
Language: English
Authors: Harry Anthony Patrinos, George Psacharopoulos, Annenberg Institute for School Reform at Brown University
Source: Annenberg Institute for School Reform at Brown University. 2025.
Availability: Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/
Peer Reviewed: N
Page Count: 15
Publication Date: 2025
Document Type: Reports - Evaluative
Descriptors: Outcomes of Education, Income, Education Work Relationship, Developing Nations, Developed Nations, Least Squares Statistics, Human Capital, Foreign Countries
Abstract: Using 182 estimates from 140 studies in 55 countries, this paper compares ordinary least squares (OLS) and instrumental variables (IV) estimates of the private returns to schooling. IV returns average 9.7 percent--38 percent higher than OLS--and exceed OLS in nearly 80 percent of cases, with the largest gaps in developing countries. These patterns align with theories of diminishing marginal returns, scarcity rents, and attenuation from measurement error. While IV methods mitigate bias, instrument validity and external validity concerns persist. Evidence consistently shows substantial causal returns, particularly for disadvantaged populations, underscoring the need for rigorous research.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED678229
Database: ERIC
Description
Abstract:Using 182 estimates from 140 studies in 55 countries, this paper compares ordinary least squares (OLS) and instrumental variables (IV) estimates of the private returns to schooling. IV returns average 9.7 percent--38 percent higher than OLS--and exceed OLS in nearly 80 percent of cases, with the largest gaps in developing countries. These patterns align with theories of diminishing marginal returns, scarcity rents, and attenuation from measurement error. While IV methods mitigate bias, instrument validity and external validity concerns persist. Evidence consistently shows substantial causal returns, particularly for disadvantaged populations, underscoring the need for rigorous research.