2006
DOI: 10.1016/j.jue.2005.08.007
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Expenditure spillovers and fiscal interactions: Empirical evidence from local governments in Spain

Abstract: The paper presents a framework for measuring spillovers resulting from local expenditure policies. We identify and test for two different types of expenditure spillovers: (i) "benefit spillovers", arising from the provision of local public goods, and (ii) "crowding spillovers", arising from the crowding of facilities by residents in neighboring jurisdictions. Benefit spillovers are accounted for by assuming that the representative resident enjoys the consumption of a local public good in both his own community… Show more

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Cited by 125 publications
(83 citation statements)
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References 29 publications
(77 reference statements)
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“…Similar to tax competition, the interaction between expenditures of neighboring jurisdictions is also demonstrated empirically (see, e.g. Case, Rosen, and Hines (1993), Sole-Olle (2006), and Borck, Caliendo, and Steiner (2007); for an overview see Allers and Elhorst (2011)). …”
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confidence: 83%
“…Similar to tax competition, the interaction between expenditures of neighboring jurisdictions is also demonstrated empirically (see, e.g. Case, Rosen, and Hines (1993), Sole-Olle (2006), and Borck, Caliendo, and Steiner (2007); for an overview see Allers and Elhorst (2011)). …”
mentioning
confidence: 83%
“…The incumbent government in each jurisdiction is responsible for the provision of a purely local public good. While interjurisdictional spillovers have been advanced as a possible explanation of spatial patterns in fiscal policies (see, e.g., Kelejian and Robinson, 1993;Solé-Ollé, 2006;Werck et al, 2008), the present model assumes the absence of such spillovers. A similar assumption was introduced by, among others, Revelli (2002) and allows us to study the spatial interactions that emerge solely as a consequence of an informational spillover between jurisdictions.…”
Section: The Modelmentioning
confidence: 97%
“…Another possible solution for this problem would be an instrumental variable two-stage least squares (2SLS) procedure, using as instruments the neighbours' variables (mun jt ) that influence their fiscal decisions and are not correlated with the error term. Thus, in line with numerous empirical studies, these would be all considered strictly exogenous and would be weighted by W. Several papers have used this method successfully, such as KELEJIAN and ROBINSON, 1993;REVELLI, 2002;and SOLÉ-OLLÉ, 2006. Another empirical problem concerning the estimation of a spatial model is that there may be spatial dependence in the error term, given by:…”
Section: Specification Of the Weight Matrixmentioning
confidence: 99%