A Hierarchical Procedure for the Combination of Forecasts: This is a revised version of Working Paper 228, Economics Series, October 2008, which includes some changes. The most important change regards the reference of Kisinbay (2007), which was not reported in the previous version. The hierarchical procedure proposed in the paper is based on the approach of Kisinbay (2007), but some modifications of that approach are provided.

Costantini, Mauro and Pappalardo, Carmine (June 2009) A Hierarchical Procedure for the Combination of Forecasts: This is a revised version of Working Paper 228, Economics Series, October 2008, which includes some changes. The most important change regards the reference of Kisinbay (2007), which was not reported in the previous version. The hierarchical procedure proposed in the paper is based on the approach of Kisinbay (2007), but some modifications of that approach are provided. IHS Economics Series 240

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Abstract or Table of Contents

Abstract: This paper proposes a strategy to increase the efficiency of forecast combination. Given the availability of a wide range of forecasts for the same variable of interest, our goal is to apply combining methods to a restricted set of models.To this aim, a hierarchical procedure based on an encompassing test is developed. Firstly, forecasting models are ranked according to a measure of predictive accuracy (RMSFE). The models are then selected for combination such that each forecast is not encompassed by any of the competing forecasts. Thus, the procedure aims to unit model selection and model averaging methods. The robustness of the procedure is investigated in terms of the relative RMSFE using ISAE (Institute for Studies and Economic Analyses) short-term forecasting models for monthly industrial production in Italy.;

Item Type: IHS Series
Keywords: 'Combining forecasts' 'Econometric models' 'Evaluating forecasts' 'Models selection' 'Time series'
Classification Codes (e.g. JEL): C32, C53
Status: Published
Date Deposited: 26 Sep 2014 10:38
Last Modified: 21 Jul 2017 05:04
URI: http://irihs.ihs.ac.at/id/eprint/1923

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