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Combining probability forecasts
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Clements, Michael P. and Harvey, David I. (2011) Combining probability forecasts. International Journal of Forecasting, Volume 27 (Number 2). pp. 208-223. doi:10.1016/j.ijforecast.2009.12.016 ISSN 0169-2070.
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Official URL: http://dx.doi.org/10.1016/j.ijforecast.2009.12.016
Abstract
We consider different methods for combining probability forecasts. In empirical exercises, the data generating process of the forecasts and the event being forecast is not known, and therefore the optimal form of combination will also be unknown. We consider the properties of various combination schemes for a number of plausible data generating processes, and indicate which types of combinations are likely to be useful. We also show that whether forecast encompassing is found to hold between two rival sets of forecasts or not may depend on the type of combination adopted. The relative performances of the different combination methods are illustrated, with an application to predicting recession probabilities using leading indicators. (C) 2010 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
Item Type: | Journal Article | ||||
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Subjects: | H Social Sciences > HB Economic Theory | ||||
Divisions: | Faculty of Social Sciences > Economics | ||||
Library of Congress Subject Headings (LCSH): | Economic forecasting, Probabilities, Business cycles | ||||
Journal or Publication Title: | International Journal of Forecasting | ||||
Publisher: | Elsevier | ||||
ISSN: | 0169-2070 | ||||
Official Date: | April 2011 | ||||
Dates: |
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Volume: | Volume 27 | ||||
Number: | Number 2 | ||||
Page Range: | pp. 208-223 | ||||
DOI: | 10.1016/j.ijforecast.2009.12.016 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
Data sourced from Thomson Reuters' Web of Knowledge
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