Heterogeneity in preferences for redistribution and public spending: A cross-country analysis
Luna Bellani and
Francesco Scervini
European Journal of Political Economy, 2020, vol. 63, issue C
Abstract:
Political coordination and policy outcomes may be the result not only of the position of the ‘median voter’ in a political scale but also of the heterogeneity of preferences around the median. Depending on the level of government and the type of policy, such heterogeneity may lead to lower public spending and redistribution. We assess this issue empirically by analyzing the relationship between the distribution of preferences for redistribution and the amount of public expenditure at different levels of government and for several types of spending in 23 European countries. Our results suggest a negative and significant correlation between heterogeneity of preferences for redistribution and public spending that is stronger at the local level and for redistributive functions, independent of the median individual's preferences.
Keywords: Preference heterogeneity; Propensity for redistribution; Median voter; Political coordination; Public expenditures; Government levels (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0176268020300380
Full text for ScienceDirect subscribers only
Related works:
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:eee:poleco:v:63:y:2020:i:c:s0176268020300380
DOI: 10.1016/j.ejpoleco.2020.101890
Access Statistics for this article
European Journal of Political Economy is currently edited by J. De Haan, A. L. Hillman and H. W. Ursprung
More articles in European Journal of Political Economy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().