Title :
Fiscal revenue forecasting system research
Author_Institution :
North China Univ. of Technol., Beijing, China
Abstract :
With computer technology and economic analysis methods, We can establish fiscal revenue forecasting system, which will enhance the timeliness and accuracy of the fiscal revenue forecasting, also can improve the science of the macroeconomic regulation and control. This article analyse the Linear regression model and the Autoregressive integrated moving average model which is used in fiscal revenue forecasting, make a fiscal revenue forecasting model of pingdingshan city in henan province of china with fiscal data from 1994 year to 2009 year, predict fiscal data from 2010 year to 2015 year of pingdingshan city. This article also analyse the whole solution of establishing fiscal revenue forecasting system, for example, develop software system, collect related data.
Keywords :
autoregressive moving average processes; forecasting theory; macroeconomics; regression analysis; autoregressive integrated moving average model; computer technology; economic analysis; fiscal revenue forecasting system; linear regression model; macroeconomic control; macroeconomic regulation; Economic indicators; Forecasting; Java; TV; Autoregressive integrated moving average model; Computer technology; Economic analysis methods; Fiscal revenue forecasting system; Linear regression model;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5654754