Simplified communication and tax compliance

Last registered on December 06, 2023

Pre-Trial

Trial Information

General Information

Title
Simplified communication and tax compliance
RCT ID
AEARCTR-0012574
Initial registration date
December 05, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
December 06, 2023, 9:06 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
City, University of London

Other Primary Investigator(s)

PI Affiliation
University of Economics in Bratislava
PI Affiliation
Prague University of Economics and Business
PI Affiliation
Institute for Financial Policy
PI Affiliation
Institute for Financial Policy

Additional Trial Information

Status
In development
Start date
2023-11-07
End date
2024-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Simplifying complex situations seems to deliver more favorable outcomes in many domains, including Earned-income Tax Credit take-up rate (Bhargava and Manoli 2015), portfolio investments (Carvalho and Silverman 2022), and taxes (Abeler and Jäger 2015). Hoppe et al. (2019) show that tax systems are judged complex by professional tax-advisors in most of the 100 countries they studied, while Blesse et al.(2019) 90% of Germans believe that the tax system needs to be substantially simplified. Recent literature in nudging for tax-compliance context shows that simplification can be even more effective than the deterrence nudge (De Neve et al. 2021; Cahlíková et al. 2021; Dwenger et al. 2016).
Simplification of communication typically includes shortening the text, reducing the information content, creating a coherent structure, replacing complex words with simpler alternatives, and highlighting action-relevant information. This lowers information overload and allows to use of scarce attention resources more efficiently and might directly help to overcome transaction costs of dealing with the situation and increase the salience of the communicated message. It may even motivate recipients to tackle the problem sooner (Dušek, Pardo, and Traxler 2022). However, it is unclear which channels matter more than others, as current literature offers only partial answers. In a TV-fee evasion context, Cahlíková et al. (2021) find that reducing transaction costs of reaction procedure contributes only modestly to overall effects on compliance. Bholat et al.(2019) show that simplifying key messages of the central bank increases the comprehension of the general public, but also the trust and reputation of the central bank. This raises questions about the indirect effects a simplified message can bring.
In this study, we plan to contribute to the literature by being the first to disentangle direct and indirect effects which simplified communication from a tax-collecting authority to taxpayers may bring. The direct effects have been already studied and cover the reduced information frictions and transaction costs of dealing with the situation. The indirect effects cover (i) changes in the social norms associated with the tax payments (Bobek, Hageman, and Kelliher 2013), (ii) changes in the perceived competence of the tax-collecting authority and, therefore, the credibility of enforcement, and (iii) a change in a relationship with the tax-collecting authority in the spirit of procedural justice theory (Tyler 2003), and (iv) increased motivation of taxpayers to deal with the situation.
External Link(s)

Registration Citation

Citation
Celik Katreniak, Dagmara et al. 2023. "Simplified communication and tax compliance." AEA RCT Registry. December 06. https://doi.org/10.1257/rct.12574-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
In this study, we plan to contribute to the literature by being the first to disentangle direct and indirect effects which simplified communication from a tax-collecting authority to taxpayers may bring. The direct effects have been already studied and cover the reduced information frictions and transaction costs of dealing with the situation. The indirect effects cover (i) changes in the social norms associated with the tax payments (Bobek, Hageman, and Kelliher 2013), (ii) changes in the perceived competence of the tax-collecting authority and, therefore, the credibility of enforcement, and (iii) a change in a relationship with the tax-collecting authority in the spirit of procedural justice theory (Tyler 2003), and (iv) increased motivation of taxpayers to deal with the situation.
Intervention Start Date
2023-12-07
Intervention End Date
2024-04-30

Primary Outcomes

Primary Outcomes (end points)
Direct effects of the reduction in information friction: reading time, correctness in decisions, perceived difficulty and clarity, tax compliance
Indirect effects of the reduction in information friction: descriptive and injunctive social norms, guilt, risk aversion, perceived competence, emotions, trust and feeling of responsibility.
We will also collect data on cognitive reflection tests and respondents' demographics.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The participants will receive instructions and will be asked to sign the consent form. Then each participant will need to read a letter (depending on the treatment), make a set of incentivized and unincentivized decisions, and answer multiple sets of questions.
Experimental Design Details
Not available
Randomization Method
Randomization is done by a computer. The respondents will answer the tasks in the lab computer.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
We do not use clusters.
Sample size: planned number of observations
We plan to invite 600-800 participants to the lab sessions (depending on the funding).
Sample size (or number of clusters) by treatment arms
We plan to have 150-200 students per treatment/control arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
According to our calculation, we should be able to detect a change of 0.07-0.13 in terms of proportions, and approximately 0.2 standard deviation when comparing means/medians.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
University of Economics in Bratislava
IRB Approval Date
2022-10-26
IRB Approval Number
EKEUBA-VEGA1/0167/21-2/2022