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Public Goods and Ethnic Divisions
Open accessAbstract
We present a model that links heterogeneity of preferences across ethnic groups in a city to the amount and type of public goods the city supplies. We test the implications of the model with three related data sets: U. S. cities, U. S. metropolitan areas, and U. S. urban counties. Results show that the shares of spending on productive public goods—education, roads, sewers and trash pickup—in U. S. cities (metro areas/urban counties) are inversely related to the city's (metro area's/county's) ethnic fragmentation, even after controlling for other socioeconomic and demographic determinants. We conclude that ethnic conflict is an important determinant of local public finances.
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Citations
Cited by
Putnam, R. D. (2007) · Scandinavian Political Studies · doi:10.1111/j.1467-9477.2007.00176.x · Cited by 4,027
Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003) · Journal of Economic Growth · doi:10.1023/a:1024471506938 · Cited by 3,432
Self-citationAlesina, A., & La Ferrara, E. (2002) · Journal of Public Economics · doi:10.1016/s0047-2727(01)00084-6 · Cited by 2,329
Self-citationParticipation in Heterogeneous Communities*
Alesina, A., & La Ferrara, E. (2000) · Quarterly Journal of Economics · doi:10.1162/003355300554935 · Cited by 1,864
Self-citationEthnic and Cultural Diversity by Country*
Fearon, J. D. (2003) · Journal of Economic Growth · doi:10.1023/a:1024419522867 · Cited by 1,829
Metadata
- Authors
- Alesina, A., Baqir, R., & Easterly, W.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-11-01
- Volume
- 114
- Issue
- 4
- Pages
- 1243-1284
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2111039889
- Cited by
- 2,328
- References
- 0
- FWCI
- 90.37
- Type
- journal article
- Language
- en
- Open access
- green
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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.
