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Creator: Anderson, Paul A. and Supel, Thomas M. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 039 Abstract:
This paper puts forward a method for improving the forecasting accuracy of an existing macroeconometric model without changing its policy response characteristics. The procedure is an extension and formalization of the practice of additive adjustments currently used by most forecasters. The method should be of special interest to forecasters who use models built by other investigators because it does not involve reestimation of the original model and uses only information routinely included in the documentation available to model users. The paper ends with a demonstration of the prediction improvement realized by application of this method to a version of the MIT-Penn-SSRC (MPS) model.
Palavra-chave: Multiperiod forecasting, MIT-Penn-SSRC model, MIT-Penn-MPS model, and Prediction Sujeito: C53 - Forecasting Models; Simulation Methods and C52 - Model Evaluation, Validation, and Selection
Creator: Anderson, Paul A. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 061 Abstract:
This paper puts forward a method for simulating an existing macroeconometric model while maintaining the additional assumption that individuals form their expectations rationally. This simulation technique is a first response to Lucas' criticism that standard econometric policy evaluation allows policy rules to change but doesn't allow expectations rules to change as economic theory predicts they will. The technique is applied to a version of the St. Louis Federal Reserve Model with interesting results. The rational expectations version of the St. Louis Model exhibits the same neutrality with respect to certain policy rules as small, analytic rational expectations models considered by Lucas, Sargent, and Wallace.
Palavra-chave: Rational expectations theory, Forecasting, and Simulation Sujeito: C53 - Forecasting Models; Simulation Methods