Bayesian Forecast Combination for Inflation Using Rolling Windows: An Emerging Country Case
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- Luis Fernando Melo & Rubén Albeiro Loaiza Maya, 2012. "Bayesian Forecast Combination for Inflation Using Rolling Windows: An Emerging Country Case," Borradores de Economia 705, Banco de la Republica de Colombia.
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More about this item
Keywords
Forecast combination; Shrinkage; Expert forecasts; Rolling window estimation; Inflation forecasts.;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2012-05-08 (Central Banking)
- NEP-ETS-2012-05-08 (Econometric Time Series)
- NEP-FOR-2012-05-08 (Forecasting)
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