The DOI matches its OpenAlex record; 36 of the 36 references it cites were found in a registry or an index.
How Large Are Human-Capital Externalities? Evidence from Compulsory Schooling Laws
Abstract
Many economists and policymakers believe that education creates positive externalities. Indeed, average schooling in U.S. states is highly correlated with state wage levels, even after controlling for the direct effect of schooling on individual wages. We use variation in child labor laws and compulsory attendance laws over time and across states to investigate whether this relationship is causal. Our results show external returns to education around 1% and not significantly different from zero.
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Cites
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Growth and human capital: good data, good results
Cohen, D., & Soto, M. (2007) · Journal of Economic Growth · doi:10.1007/s10887-007-9011-5 · Cited by 1,288
The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States
Glaeser, E. L., & Gottlieb, J. D. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.4.983 · Cited by 1,082
Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions
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The Experimental Approach to Development Economics
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Arrival of Young Talent: The Send-Down Movement and Rural Education in China
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Metadata
- Authors
- Acemoğlu, D., & Angrist, J. D.
- Venue
- NBER Macroeconomics Annual
- Publisher
- University of Chicago Press
- Published
- 2000-07-01
- Volume
- 15
- Issue
- 1
- Pages
- 9-59
- ISSN
- 0889-3365 (ISSN-L)
- OpenAlex
- W3123347893
- Cited by
- 265
- References
- 36
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Acemoğlu, D., & Angrist, J. D. (2000). How Large Are Human-Capital Externalities? Evidence from Compulsory Schooling Laws. NBER Macroeconomics Annual. https://doi.org/10.1162/08893360052390220
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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.
