DocumentCode
2877258
Title
An approach to methods for processing uncertain factors in short-term macroeconomic forecasting
Author
Jiang, Xuping
Author_Institution
Dept. of Inf. Syst., Tsinghua Univ., Beijing, China
fYear
1991
fDate
27-31 Oct 1991
Firstpage
570
Lastpage
573
Abstract
The problem of how to get a final forecast by means of integrating both the forecasts of several models and the influence of large quantities of random factors that cannot be included in the forecast model is addressed. A method of solving this problem by using a structural model for processing the mathematics or systems models and semistructural methods for processing the influence of all kinds of random factors is presented. Practice has demonstrated that the results are much better than that of single forecasting model processing
Keywords
economics; forecast model; mathematics model; random factors; semistructural methods; short-term macroeconomic forecasting; structural model; systems models; uncertain factors processing; Casting; Decision support systems; Demand forecasting; Economic forecasting; Government; Macroeconomics; Management information systems; Mathematical model; Mathematics; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Technology Management : the New International Language
Conference_Location
Portland, OR
Print_ISBN
0-7803-0161-7
Type
conf
DOI
10.1109/PICMET.1991.183716
Filename
183716
Link To Document