Addressing Collinearity Among Competing Econometric Forecasts: Regression Based Forecast Combination Using Model Selection
AbstractBased on Monte Carlo simulations using both stationary and nonstationary data, a model selection approach which uses the SIC to select a "best" group of forecasts in the context of forecast combination regressions dominates a number of other techniques, including the standard t-statistic approach which is commonly used in practical applications.
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Bibliographic InfoPaper provided by Pennsylvania State - Department of Economics in its series Papers with number 4-96-5.
Length: 49 pages
Date of creation: 1996
Date of revision:
Contact details of provider:
Postal: PENNSYLVANIA STATE UNIVERSITY, DEPARTMENT OF ECONOMICS, UNIVERSITY PARK PENNSYLVANIA 16802 U.S.A.
Web page: http://econ.la.psu.edu/
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FORECASTS; REGRESSION ANALYSIS;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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