Predictivistic Bayesian Forecasting System
AbstractThis paper introduces a formal method of combining expert and model density forecasts when the sample of past forecasts is unavailable. It works directly with the expert forecast density and endogenously delivers weights for forecast combination, relying on probability rules only. In the empirical part, we illustrate how our framework can be applied in forecasting US inflation by mixing density forecasts from an autoregressive model and the Survey of Professional Forecasters.
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Bibliographic InfoPaper provided by National Bank of Poland, Economic Institute in its series National Bank of Poland Working Papers with number 87.
Date of creation: 2011
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More information through EDIRC
Combining density forecasts; Forecast evaluation; Bayesian inference; Predictivism;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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