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Ought It Audit? Information, Values, and Public Support for the Internal Revenue Service

Published online by Cambridge University Press:  14 November 2022

Ian G. Anson*
Affiliation:
University of Maryland, Baltimore County, Baltimore, MD, USA
John V. Kane
Affiliation:
New York University, New York, NY, USA
*
*Corresponding author. Email: iganson@umbc.edu
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Abstract

In democracies, policy ambitions hinge upon governments’ ability to collect tax revenue from their citizens. Ongoing funding cuts at the Internal Revenue Service (IRS) undermine the US government’s ability to fulfill this function. Yet, despite its central importance, funding for IRS enforcement activities has received scant scholarly attention, limiting our understanding of the factors that underlie public attitudes on this issue. In this article, we report the results of preregistered experiments that test whether citizens’ attitudes regarding the IRS can be shaped by framing efforts. Specifically, we test both information-based and value-consistent frames that invoke partisans’ core ideological concerns. Results show that these frames significantly increase public support for the IRS, as well as citizens’ willingness to learn more and become politically active. Thus, to ensure state capacity, information about the consequences of IRS underfunding and appeals to partisans’ ideological concerns can be implemented to increase support for tax collection.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Table 1 Experimental Vignette Wording

Figure 1

Figure 1 Effects of Underfunding Frame on Three Measures of Support for IRS. NOTE: Thick horizontal lines denote 90% CIs; thin lines denote 95% CIs. Model coefficients based on results of OLS regression models predicting rescaled DVs with range [0,1]. Control group serves as the baseline for all estimates, represented by the dashed vertical line. N = 778.

Figure 2

Figure 2 Effects of Underfunding Frame on Three Measures of Support for IRS by Party. NOTE: Thick horizontal lines denote 90% CIs; thin lines denote 95% CIs. Model coefficients based on results of OLS regression models predicting rescaled DVs with range [0,1]. Control group serves as the baseline for all estimates. Democratic N = 740; Republican N = 477. 343 pure independents excluded from results.

Figure 3

Figure 3 Effects of Value-Consistent Frames on Three Measures of Support for IRS by Party. NOTES: Thick horizontal lines denote 90% CIs; thin lines denote 95% CIs. Model coefficients based on results of OLS regression models predicting rescaled DVs with range [0,1]. Underfunding group serves as the baseline for all estimates, represented by the dashed vertical line. Democratic N = 740; Republican N = 477. 343 pure independents excluded from results.

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