Hostname: page-component-76d6cb85b7-mgxrv Total loading time: 0 Render date: 2026-07-14T10:00:59.546Z Has data issue: false hasContentIssue false

Compensation and Tax Fairness: Evidence From Four Countries

Published online by Cambridge University Press:  01 March 2024

Mariana Alvarado*
Affiliation:
Department of Political Science and International Relations, New York University, United States University of Geneva, Geneva, Switzerland
Rights & Permissions [Opens in a new window]

Abstract

This paper uses a conjoint survey experiment fielded in the US, Australia, Chile, and Argentina to develop and test the compensatory theory of tax fairness, which states that higher taxes on the rich can be used to compensate for other benefits unequally granted by the state. Drawing on social psychology, this paper argues that evidence of preferential treatment by the state violates well-established fairness principles and shows, experimentally, that it leads to taxation to restore equality in crisis times, irrespective of wealth and across a variety of settings. The paper makes two important contributions: it provides the first direct, causal evidence of the importance of compensatory arguments for tax preferences and presents unconfounded estimates of the effect of more established fairness considerations as benchmarks against which to compare the importance of compensatory arguments.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Attributes, attribute levels and fairness tests

Figure 1

Figure 1. Who should pay the higher tax rate?Note: Marginal mean outcomes (panel A) and average marginal component effects (panel B) from the same forced-choice conjoint experiments, by country. The points without horizontal bars in panel B denote the attribute level that is the reference category for each attribute. Attribute levels with the lowest probability of selection are chosen as reference categories. All estimates are clustered by respondent. US estimates use entropy balancing weights described in SI section A.5; all other estimates are unweighted. Bars represent 95 per cent confidence intervals.

Figure 2

Figure 2. Terms most used in justification of choices involving the profile with state benefit.Note: Word cloud showing the seventy most frequently used words in open-ended justifications by US respondents who chose the profile with the state benefit source of income. Word size reflects frequency.

Figure 3

Figure 3. Terms most used to justify choices involving the profile with lower sales tax share.Note: Word cloud showing the seventy most frequently used words in open-ended justifications by US respondents who chose the lower sales tax share profile. Word size reflects frequency.

Figure 4

Figure 4. Marginal mean outcomes by level of income in profile.Note: Marginal mean outcomes from forced choice conjoint experiment, estimated separately for profiles with different income levels. Estimates are clustered by respondent. US estimates use entropy balancing weights described in SI section A.5; all other estimates are unweighted. Bars represent 95 per cent confidence intervals.

Figure 5

Figure 5. Differences in marginal means by respondent ideological self-placement.Note: Estimated differences in conditional marginal mean outcomes by respondent ideological self-placement (left and center-left v. right and center-right). Estimated differences are right-left wing. Estimates are clustered by respondent. US estimates use entropy balancing weights described in SI section A.5; all other estimates are unweighted. Bars represent 95 per cent confidence intervals.

Supplementary material: File

Alvarado supplementary material

Alvarado supplementary material
Download Alvarado supplementary material(File)
File 3.7 MB