EconPapers    
Economics at your fingertips  
 

Leaky Bucket in the Real World: Estimating Inequality Aversion Using Survey Data

Jukka Pirttilä and Roope Uusitalo

No 2026, CESifo Working Paper Series from CESifo

Abstract: Existing evidence of inequality aversion relies on data from class-room experiments where subjects face hypothetical questions. This paper estimates the magnitude of inequality aversion using representative survey data, with questions related to the real-economy situations the respondents face. The results reveal that the magnitude of inequality aversion can be measured in a meaningful way using survey data, but the estimates depend dramatically on the framing of the question. No matter how measured, the revealed inequality aversion predicts opinions on a wide range of questions related to the welfare state, such as the level of taxation, tax progressivity and the structure of unemployment benefits.

Keywords: inequality aversion; social welfare functions; welfare state (search for similar items in EconPapers)
JEL-codes: D31 D63 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp2026.pdf (application/pdf)

Related works:
Journal Article: A ‘Leaky Bucket’ in the Real World: Estimating Inequality Aversion using Survey Data (2010) Downloads
Working Paper: Leaky Bucket in the Real World: Estimating Inequality Aversion Using Survey Data (2007) Downloads
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:_2026

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 ().

 
Page updated 2025-03-30
Handle: RePEc:ces:ceswps:_2026