Minimum wage and tolerance for high incomes
Andrea Fazio () and
Tommaso Reggiani ()
European Economic Review, 2023, vol. 155, issue C
Abstract:
We suggest that stabilizing the baseline income can make low-wage workers more tolerant towards high income earners. We present evidence of this attitude in the UK by exploiting the introduction of the National Minimum Wage (NMW), which institutionally sets a baseline pay reducing the risk of income losses and providing a clear reference point for British workers at the lower end of the income distribution. Based on data from the British Household Panel Survey (BHPS), we show that workers who benefited from the NMW program became relatively more tolerant of high incomes and more likely to support and vote for the Conservative Party. As far as tolerance for high incomes is related to tolerance of inequality, our results may suggest that people advocate for equality also because they fear income losses below a given reference point.
Keywords: Inequality; Redistribution; Minimum wage; Loss aversion; Reference point; UK (search for similar items in EconPapers)
JEL-codes: D63 D69 H10 H53 Z1 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0014292123000740
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Minimum wage and tolerance for high incomes (2023) 
Working Paper: Minimum Wage and Tolerance for High Incomes (2023) 
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:eecrev:v:155:y:2023:i:c:s0014292123000740
DOI: 10.1016/j.euroecorev.2023.104445
Access Statistics for this article
European Economic Review is currently edited by T.S. Eicher, A. Imrohoroglu, E. Leeper, J. Oechssler and M. Pesendorfer
More articles in European Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().