| dc.description.abstract | Revenue forecasting is an essential part of budgeting in the public sector and, hence, it is necessary
for a government to forecast the revenue it collects for planning purposes. This study uses the
monthly customs data, in particular the Import duty from January 2003 to December 2010 with the
general objective of exploring the data and further establish a suitable forecasting model which can
be used to predict the amount of import duty to be collected in a certain specified period. The
exploration data analysis revealed that the import duty has an upward/positive trend, has a strong
positive correlation over time and that an IMA (1, 1) model was established as a suitable model to
forecast the tax. | en |
