Template-type: ReDIF-Paper 1.0
Author-Name: Di Porto Edoardo
Author-Email: edoardodiporto@yahoo.it
Author-Name: Revelli Federico 
Author-Email: federico.revelli@unito.it
Author-Workplace-Name: University of Turin
Author-Workplace-Homepage: http://www.est.unito.it/
Title: Central Command, Local Hazard and the Race to the Top
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.
Length: 32 pages
Creation-Date: 2009-10
File-URL: http://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2009dip/9_wp_revelli_diporto.pdf
File-Format: Application/PDF
Handle: RePEc:uto:dipeco:200909