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Strategical interactions on municipal public safety spending with correlated private information

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  • Yang, Chao
  • Lee, Lung-fei

Abstract

We investigate interactions of public safety spending among spatially related local jurisdictions in a framework of simultaneous move game both theoretically and empirically. Incorporating the mobility of residents and externality of public safety services, it is found that the public safety spending of a municipal government can be negatively related to those of its neighbors, which is empirically supported by a general interaction model with correlated private information using the data on municipalities in North Carolina. In this case, strategic interactions induce a reduction of municipal public safety spending by 7.2404% on average and a local government will reduce its own spending by 0.0927 million dollars when one of its neighbors is expected to increase public safety spending by 1 million dollars, showing strong “free-riding” effects.

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  • Yang, Chao & Lee, Lung-fei, 2018. "Strategical interactions on municipal public safety spending with correlated private information," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 86-102.
    • Handle: RePEc:eee:regeco:v:72:y:2018:i:c:p:86-102
    DOI: 10.1016/j.regsciurbeco.2017.03.003
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    Cited by:

    1. Dũng Tuấn Nguyễn & Takeshi Miyazaki, 2023. "Strategic interaction among Japanese municipalities regarding public servant salary levels," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 463-485, October.
    2. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    3. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.

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    More about this item

    Keywords

    Spatial correlation; Strategic interactions; Public finance; Fixed point; Numerical approximation;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions

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