The excel file contains a row per subject who undertook the experiment. This includes the values they entered for each of the four elements of the main incentivised choice within the experiment, the treatment the subject was randomly allocated to, derived measures as to the nature of their compliant (or non-compliant) behaviour and timings associated with each of the stages of the experiment.There is additional data in relation to the classification of their behaviour in the experiment.The primary research questions were to see if compliance would be reduced in treatments were incorrect information was used to pre-populate tax forms compared to conditions of no or correct information and which, if any, of a series of prompts might be able to improve levels of compliance.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.

Subjects were recruited from the general UK population by a market research agency (ICM). ICM sent an invitation e-mail to its participant pool to take part in an online decision-making experiment. When registering their interest in the experiment, participants were asked to fill out a questionnaire comprising a series of standard demographic questions. ICM included only participants who stated that they were over 18 years old and were either self-employed or employed full-time; this meant that they were U.K. tax residents. ICM then invited at random 755 people from those who met our sampling criteria.Out of the 755 people invited, 554 completed the experiment. The experiment was conducted through a bespoke on-line website hosted by the University of Exeter. ICM sent a unique username and password to each subject for them to access the experiment. We could not match usernames to actual participant data, and ICM did not have access to participant decisions, making this a double-blind experimental design. This was made explicit to participants when they were invited to participate. After logging in, each participant read an on-screen set of instructions that detailed the task they were required to perform. Participants were also told that they would be paid a fixed £5 sum for completing the experiment and would have the opportunity to earn more in line with their decisions in the experiment. The instructions detailed several examples of the potential outcomes from various declaration choices.