Modelling Direct Tax Revenue Collection In Ghana. A Case Study of Internal Revenue Service, Sefwi Wiawso Tax District.

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dc.contributor.authorAsamoah, George Mantey
dc.date.accessioned2012-06-13T14:33:44Z
dc.date.accessioned2023-04-20T04:31:02Z
dc.date.available2012-06-13T14:33:44Z
dc.date.available2023-04-20T04:31:02Z
dc.date.issued2011
dc.descriptionA thesis submitted to the Department of Mathematics of the College of Science, Kwame Nkrumah University of Science and Technology, Kumasi in partial fulfillment of the requirement for the Degree of MASTER OF SCIENCE (Industrial Mathematics) Institute of Distance Learning (IDL) en_US
dc.description.abstractTax revenue generation in any country constitutes an integral component of any government fiscal policy and many countries therefore, depend mainly on taxation as a means of generating the required resources for funding government expenditure. The provision of social programs, infrastructural developments, maintenance of law and order, defense against external aggression and payment of civil and public servants are usually funded by government through tax revenue. Tax revenue analysis is very important as it enables tax authorities and government to forecast or make future tax revenue projections. In this study, time series analysis is used with greater emphasis on Box-Jenkins model theory approach to analysis the direct tax revenue collection data from Internal Revenue Service, Sefwi Wiawso tax district. Autoregressive Integrated Moving Average (ARIMA(2,1,0)) is used to model the data.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/3902
dc.language.isoenen_US
dc.titleModelling Direct Tax Revenue Collection In Ghana. A Case Study of Internal Revenue Service, Sefwi Wiawso Tax District.en_US
dc.typeThesisen_US
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