The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Does Competition Among Public Schools Benefit Students and Taxpayers?
Abstract
Tiebout choice among districts is the most powerful market force in American public education. Naive estimates of its effects are biased by endogenous district formation. I derive instruments from the natural boundaries in a metropolitan area. My results suggest that metropolitan areas with greater Tiebout choice have more productive public schools and less private schooling. Little of the effect of Tiebout choice works through its effect on household sorting. This finding may be explained by another finding: students are equally segregated by school in metropolitan areas with greater and lesser degrees of Tiebout choice among districts. (JEL H70, I20)
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Citations
Cites
A Pure Theory of Local Expenditures
Tiebout, C. M. (1956) · Journal of Political Economy · doi:10.1086/257839 · Cited by 13,222
Cited by
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Hart, O., Shleifer, A., & Vishny, R. W. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355300555448 · Cited by 1,763
Management Practices Across Firms and Countries
Bloom, N., Genakos, C., Sadun, R., & Van Reenen, J. (2012) · Academy of Management Perspectives · doi:10.5465/amp.2011.0077 · Cited by 599
Racial Segregation and the Black-White Test Score Gap,
Card, D., & Rothstein, J. (2007) · Journal of Public Economics · doi:10.1016/j.jpubeco.2007.03.006 · Cited by 460
Segregation by Design: Local Politics and Inequality in American Cities
Trounstine, J. (2018) · doi:10.1017/9781108555722 · Cited by 428
Deming, D. J. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr036 · Cited by 373
Metadata
- Authors
- Hoxby, C. M.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2000-12-01
- Volume
- 90
- Issue
- 5
- Pages
- 1209-1238
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3124133911
- Cited by
- 1,089
- References
- 1
- FWCI
- 244.20
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
