The paper assesses the cleanliness of taxpayer returns at the Uganda Revenue Authority (URA) in terms of: (a) completeness – the extent to which taxpayers submit all the required information as specified in the return forms; (b) accuracy – the extent to which the submitted information is correct; (c) consistency – the extent to which taxpayers submit similar information in cases where the same information is required in different types of tax returns, or submitted in the same type of tax return, but for different time periods; and (d) permanence – the extent to which the returns are likely to be later modified by taxpayers.
This paper conducts an impact evaluation of the effects of two tax administration interventions—a taxpayer register expansion and education programme, and a new electronic filing system for presumptive tax—on the number of small business taxpayers and presumptive tax revenues in Uganda. Using a difference-in-differences approach and administrative data covering both presumptive taxpayers and comparable small corporate income taxpayers, we find that the number of small business taxpayers filing tax returns and presumptive tax revenues increased substantially after the interventions. We argue that the interventions complement each other because both interventions were established around the same years, and the taxpayer register expansion programme focused on not only registering but also educating taxpayers with regard to tax compliance. We analyse the cost-effectiveness of the taxpayer register expansion programme and find that the benefits outweigh the costs.
Most research on tax compliance, including research on gender differences in compliance, is based on one of two problematic sources of data. One is surveys enquiring about attitudes and beliefs about taxpaying, or actual taxpaying behaviour. The other is experiments in which people who may or may not have experience of paying different types of taxes are asked to act out roles as taxpayers in hypothetical situations. Much more accurate and reliable research is possible with access to ‘tax administrative data’, i.e. the records maintained by tax collection organisations. With tax administrative data, researchers have access to tax assessments and tax payments for specific (anonymised) individual or corporate taxpayers. Further, tax administrative data enables researchers to take account of a phenomenon largely ignored in more conventional compliance research. Tax payment is best understood not as an event, but as part of a multi-stage process of interaction between taxpayers and tax collectors. In particular, actually making a tax payment typically represents the culmination of a process that also involves: registering with the tax collecting organisation; filing annual tax returns; filing returns that indicate a payment liability; and receiving an assessment. The multi-stage character of this process raises questions about how we conceptualise and measure tax compliance. To what extent does ‘compliance’ refer to: registration, filing, accurate filing, or payment? The researchers employed this framework while using tax administrative data from the Uganda Revenue Authority to try to determine gender differences in compliance. The results are sensitive to the adoption of different definitions of compliance and subject to year-to-year changes. Finding robust answers to questions about gender differences in tax compliance is more challenging than the research literature indicates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.