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dc.contributor.author | Di Porto, Edoardo |
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dc.contributor.author | Revelli, Federico |
dc.date | 2017-10-24T07:18:10Z |
dc.date | 2017-10-24T07:18:10Z |
dc.date | 2009 |
dc.identifier | http://hdl.handle.net/2445/116984 |
dc.identifier.uri | http://hdl.handle.net/2445/116984 |
dc.description | This paper explores for the first time the consequences of centrally imposed local tax limitations on the modelling and estimation of spatial auto-correlation in local fiscal policies, and compares three spatial interaction estimators: a) the conventional maximum likelihood estimator that ignores censoring; b) a spatial Tobit estimator; c) a discrete hazard estimator. Implementation of the above empirical approaches on the case of local vehicle taxation in Italy provides a reasonably coherent picture in terms of the direction and size of the spatial interaction process, and offers a plausible spatial interpretation of the race to the top in provincial vehicle taxes. |
dc.format | 36 p. |
dc.format | application/pdf |
dc.language | eng |
dc.publisher | Institut d’Economia de Barcelona |
dc.relation | Reproducció del document publicat a: http://www.ieb.ub.edu/2012022157/ieb/ultimes-publicacions |
dc.relation | IEB Working Paper 2009/26 |
dc.relation | [WP E-IEB09/26] |
dc.rights | cc-by-nc-nd, (c) Di Porto et al., 2009 |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Política fiscal |
dc.subject | Impostos sobre automòbils |
dc.subject | Correlació (Estadística) |
dc.subject | Fiscal policy |
dc.subject | Automobiles taxation |
dc.subject | Correlation (Statistics) |
dc.title | Central command, local hazard and the race to the top |
dc.type | info:eu-repo/semantics/workingPaper |