DocumentCode :
1905354
Title :
Model-based system tool for Thai Tax Revenue Forecasting (MBS-TTRF)
Author :
Mitrpanont, Jaremsri L. ; Tounprasert, Pattama
Author_Institution :
Fac. of Inf. & Commun. Technol., Mahidol Univ., Nakhon Pathom, Thailand
fYear :
2011
fDate :
11-13 May 2011
Firstpage :
132
Lastpage :
137
Abstract :
Model-Based System Tool for Thai Tax Revenue Forecasting (MBS-TTRF) is a model-based management system used to provide the flexibility and increase efficiency of Thai Tax Revenue Forecasting in the Revenue Department (RD). MBSTTRF contains five essential model-categories for Tax Revenue Forecasting, i.e., ETTRF Models, NITTRF Models, STTRF Models, TTRF A Models, and TTRFAC Models. The system supports the data analytical functions: Sensitivity, What-if and Goal-seeking analysis, useful for analyzing results before making a decision. Furthermore, this system also improves the accuracy of Thai Tax Revenue Forecasting by adding regression approach to NITTRF. The experimental results showed that NITTRF generated better results than the existing model-ETTRF. The results also showed that MBS-TTRF is suitable to assist a user/decision maker as an alternative model to forecast tax revenue and reduces time for Thai Tax Revenue Forecasting operation that depends mainly on human expertise.
Keywords :
regression analysis; taxation; ETTRF models; MBS-TTRF; NITTRF models; STTRF models; TTRFAC models; Thai tax revenue forecasting; model-based management system; model-based system tool; regression approach; revenue department; what-if and goal-seeking analysis; Goal-seeking; MAPE; Model-Based Management System; Regression; Sensitivity; Tax Revenue Forecasting; What-if;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering (JCSSE), 2011 Eighth International Joint Conference on
Conference_Location :
Nakhon Pathom
Print_ISBN :
978-1-4577-0686-8
Type :
conf
DOI :
10.1109/JCSSE.2011.5930108
Filename :
5930108
Link To Document :
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