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An uneven landscape of public services for people of color: identifying endogeneity in the relationship between local race composition and public expenditure

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  • Austin Landini

    (University of Missouri-Columbia)

Abstract

Previous economic literature finds that race diversity is associated with increased tax collection and expenditure per capita, but relative under-provision of important public goods and services. Using a panel data set covering Census “Places” of over 25k population 1980–2010, I verify this conclusion in a cross section for the 2010 US Census data. I then show that the measure of racial heterogeneity commonly used throughout the literature is endogenous over time due to omitted variables, and potential reverse causality or simultaneity. As a result, cross section and pooled results are likely to be biased. Using predicted race composition from national trends as an instrumental variable, I show that the relationship between changes in race heterogeneity and both tax and spending per capita is negative. This result suggests a potential reversal of the findings following of the influential paper by Alesina et al. (Q J Econ 114:1243–1284, 1999).

Suggested Citation

  • Austin Landini, 2024. "An uneven landscape of public services for people of color: identifying endogeneity in the relationship between local race composition and public expenditure," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1047-1078, April.
  • Handle: RePEc:spr:anresc:v:72:y:2024:i:4:d:10.1007_s00168-024-01256-3
    DOI: 10.1007/s00168-024-01256-3
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    More about this item

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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