Onu, Diana and Grimshaw, Shaun
(2020).
Investigations into the role of moral emotions on tax avoidance and tax filing, experimental data 2018.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-853487
Good tax design and administration are central to the functioning of the economy. Taxes are important determinants of economic behaviour, and good implementation can significantly increase economic and social welfare. The role of the Tax Administration Research Centre is to deliver research that enhances tax policy and provides lasting benefit to the economy. There are many research tools that can contribute to this goal but the greatest success will be achieved by combining a range of research methodologies and disciplines.
The Centre will unite researchers from two institutions with distinguished reputations for research into tax administration and tax design. Complementary abilities and methodologies will be brought together to address a wide range of intersecting research projects. The research methodologies will include economic modelling, econometric analysis, experimentation, numerical simulation, and qualitative analysis. In undertaking its work the Centre will make extensive use of the HMRC/HMT Datalab to permit innovative empirical work to be undertaken.
Some examples of the research projects to be conducted at the Centre are:
Risk-based auditing and taxpayers' responses will investigate the reaction of taxpayers to audits, and how this will change the pattern of compliance behaviour. The project will study whether taxpayers learn about the audit strategy over time, and how a risk-based strategy should be updated to take this into account. The project will link with laboratory experiments on compliance and with research on the role of tax advisers. The results will increase the return on resources allocated to auditing.
Decomposing the elasticity of taxable income will determine how the response of individuals to taxes summarised by the "elasticity of taxable income" can be separated into the channels through which individuals respond (e.g. reduced work effort, increased pension contributions or charitable contributions, moving income abroad, taking income in other forms). The results will enable greater focus of tax interventions and improved design of tax structure.
Consequences of pre-population will study the implications of pre-populated tax returns for compliance. If the pre-populated form shows an income level below actual income this might convey an impression to the taxpayer that they can successfully evade. The research will implement an experiment that randomises the allocation of pre-populated returns. The outcome will advise on how best to proceed with the implementation of pre-population.
Large business (Intermediaries) relationship with HMRC will use qualitative depth interviews address the extent to which new initiatives have altered working practices in intermediary firms and their clients' businesses, the HMRC understanding of tax avoidance practices, and the appropriateness of current policy strategies currently. This will enhance understanding of the effects of HMRC operational policy and improve administration.
Understanding the determinants of customer experience will link HMRC survey data on customer experience with objective measures of service delivery standards, third-party information, and tax return data in Datalab. The linked data will be used to analyse the systematic determinants of subjective customer experience and will show which aspects of HMRC delivery generate a positive customer experience, and which do not.
The Centre will enhance tax administration and tax design. It has ambitious plans to become the leading international centre with a central role in research and in building research capability in tax analysis through the training of PhD students and training of research staff.
Data description (abstract)
The data contains the results from three experiments investigating the role of emotions. The first two focus on the moral emotions anger, disgust and contempt with regard to reactions to stories of tax avoidance. The third experiment studies the role of relief in the decision to delay or to procrastinate an unpleasant tax such as tax filing.
In experiment 1, the research question was to see how moral emotions are related to tax avoidance. Specifically we wished to see induced moral emotions, such as anger, disgust or contempt, would lead to different evaluations of a tax avoidance scenario and different responses in terms of chosen actions.
In experiment 2, the research question was to see if there were different forms of moral emotions induced through personal relevance and/or the identity of the transgressor in the tax avoidance scenario and if this lead to differences in chosen responses.
In experiment 3, the primary question was do subjects who put off a tax filing tax feel a greater sense of emotion, in particular relief, when completing the task then those who address it sooner.
Data creators: |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
ES/K005944/1
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Topic classification: |
Psychology
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Keywords: |
TAX AVOIDANCE, MORAL BEHAVIOUR, MORAL ACTIONS, TAX RELIEF
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Project title: |
Joint Exeter-IFS Tax Administration Research Centre
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Grant holders: |
Gareth Christos Myles Kotsogiannis, Kim Peters, Jonathan Shaw, Paul Johnson, Helen Miller, Nigar Hashimzade, Christopher Heady, Lynne Margaret Oats, Miguel Fonseca, Matthew Rablen
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Project dates: |
From | To |
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1 January 2013 | 31 August 2018 |
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Date published: |
12 Mar 2020 11:49
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Last modified: |
12 Mar 2020 11:50
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Collection period: |
Date from: | Date to: |
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1 January 2018 | 31 August 2018 |
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Country: |
United Kingdom |
Data collection method: |
Experiments carried out in the lab and online with students at the university of Exeter through survey software (Qualtrix) or bespoke software. |
Observation unit: |
Individual |
Kind of data: |
Numeric, Text |
Type of data: |
Experimental data
, Other surveys |
Resource language: |
English |
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Service
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Last modified: |
12 Mar 2020 11:50
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