Clive W. Granger University of California - San Diego SBR-9600674 Forecasting is a widely used tool in policy analysis. The P.I. will apply recent developments in nonlinear time-series models to improve forecasting models. Among the areas to be investigated include error-correction models and duration models. Error- correction models will be generalized to include nonlinear forms. Duration models, which relate to the time period "news" has effect on a market, will be investigated to determine their relevance for forecasting.

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Type
Standard Grant (Standard)
Application #
9600674
Program Officer
Daniel H. Newlon
Project Start
Project End
Budget Start
1996-08-01
Budget End
1997-12-31
Support Year
Fiscal Year
1996
Total Cost
$62,225
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
City
La Jolla
State
CA
Country
United States
Zip Code
92093