The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Education for Growth: Why and for Whom?
Abstract
This paper summarizes and tries to reconcile evidence from the microeconometric and empirical macro growth literatures on the effect of schooling on income and GDP growth. Much microeconometric evidence suggests that education is an important causal determinant of income for individuals within countries. At a national level, however, recent studies have found that increases in educational attainment are unrelated to economic growth. This discrepancy appears to be a result of the high rate of measurement error in first-differenced cross-country education data. After accounting for measurement error, the effect of changes in educational attainment on income growth in cross-country data is at least as great as microeconometric estimates of the rate of return to years of schooling. Another finding of the macro growth literature—that economic growth depends positively on the initial stock of human capital—is not robust when the assumption of a constant-coefficient model is relaxed.
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Cites
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Cited by
A new data set of educational attainment in the world, 1950–2010
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The Long-Term Distributional and Welfare Effects of Covid-19 School Closures
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Why has under-5 mortality decreased at such different rates in different countries?
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Metadata
- Authors
- Krueger, A. B., & Lindahl, M.
- Venue
- Journal of Economic Literature
- Publisher
- American Economic Association
- Published
- 2001-12-01
- Volume
- 39
- Issue
- 4
- Pages
- 1101-1136
- ISSN
- 0022-0515 (ISSN-L)
- OpenAlex
- W3126037482
- Cited by
- 2,060
- References
- 7
- FWCI
- 124.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
