Unknown

Dataset Information

Time series modelling methods to forecast the volume of self-assessment tax returns in the UK.


ABSTRACT: Her Majesty's Revenue and Customs (HMRC) has the ambitious target of making tax digital for all its customers and collecting tax in a more efficient, effective and accurate manner for both the government and UK taxpayers. Self-assessment tax returns, the biggest key business event for HMRC, is also one of the most popular digital services with over 90% of the approximately 12 million taxpayers in self assessment filing their return online each year. The majority of returns are filed in January immediately prior to the self-assessment deadline (31st January), putting significant pressure not only on the self-assessment digital service but also on all other HMRC digital services. Hence, understanding and predicting demand for the system is vital to provide a robust and responsive service. We

SUBMITTER: Panikian G 

PROVIDER: S-EPMC9559332 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature