Reference Points and Redistributive Preferences: Experimental Evidence
Jimmy Charité,
Raymond Fisman and
Ilyana Kuziemko
No 21009, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
If individuals evaluate outcomes relative to the status quo, then a social planner may limit redistribution from rich to poor even in the absence of moral hazard. We present two experiments suggesting that individuals, placed in the position of a social planner, do in fact respect the reference points of others. First, subjects are given the opportunity to redistribute unequal, unearned initial endowments between two anonymous recipients. They redistribute significantly less when the recipients know the initial endowments (and thus may have formed corresponding reference points) than when the recipients do not know (when we observe near-complete redistribution). Subjects who are themselves risk-seeking over losses drive the effect, suggesting they project their own loss-aversion onto the recipients. In a separate experiment, respondents are asked to choose a tax rate for someone who (due to luck) became rich either five or one year(s) ago. Subjects faced with the five-year scenario choose a lower tax rate, indicating respect for the more deeply embedded (five-year) reference point. Our results thus suggest that respect for reference points of the wealthy may help explain why voters demand less redistribution than standard models predict.
JEL-codes: C9 D63 H21 H23 (search for similar items in EconPapers)
Date: 2015-03
New Economics Papers: this item is included in nep-exp and nep-upt
Note: PE POL
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Citations: View citations in EconPapers (46)
Published as Jimmy Charité & Raymond Fisman & Ilyana Kuziemko & Kewei Zhang, 2022. "Reference points and redistributive preferences: Experimental evidence," Journal of Public Economics, vol 216.
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Journal Article: Reference points and redistributive preferences: Experimental evidence (2022) 
Working Paper: Reference Points and Redistributive Preferences: Experiment Evidence (2016) 
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