Incumbent Effects and Partisan Alignment in Local Elections: A Regression Discontinuity Analysis Using Italian Data

Emanuele Bracco, Francesco Porcelli and Michela Redoano ()

No 4061, CESifo Working Paper Series from CESifo

Abstract: This paper provides a simple model to explain effect of political alignment between different tiers of government on policy choices and election outcomes. We derive precise predictions that, as long as voters attribute most of the credit for providing public goods to the local government: (i) aligned municipalities receive more grants, set lower taxes and provide more public goods, (ii) the probability that the local incumbent is re-elected is higher in aligned municipalities compared to not aligned ones. Our empirical strategy to identify the alignment effects is built upon the fact that being or not aligned changes discontinuously at 50% of the vote share of local parties. This allows us to use sharp regression discontinuity design. Our theoretical predictions are largely confirmed using a new dataset on Italian public finance and electoral data at the central and local level.

Keywords: fiscal federalism; political competition; accountability (search for similar items in EconPapers)
JEL-codes: D70 H20 H77 H87 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp4061.pdf (application/pdf)

Related works:
Working Paper: Incumbent Effects and Partisan Alignment in Local Elections: a Regression Discontinuity Analysis Using Italian Data (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_4061

Access Statistics for this paper

More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().