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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3902

Title: Modelling Direct Tax Revenue Collection In Ghana. A Case Study of Internal Revenue Service, Sefwi Wiawso Tax District.
Authors: Asamoah, George Mantey
Issue Date: 13-Jun-2011
Abstract: Tax 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.
Description: A 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) July 2011
URI: http://hdl.handle.net/123456789/3902
Appears in Collections:Distance Learning

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