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• W3124802309 abstract "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." @default.
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• W3124802309 date "2009-01-01" @default.
• W3124802309 modified "2023-09-23" @default.
• W3124802309 title "CENTRAL COMMAND, LOCAL HAZARD AND THE RACE TO THE TOP" @default.
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