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Algorithms for explaining forecast revisions
Author(s) -
Todd Richard M.
Publication year - 1992
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.3980110805
Subject(s) - consensus forecast , computer science , forecast error , forecast verification , econometrics , forecast skill , subject (documents) , technology forecasting , operations research , artificial intelligence , statistics , economics , mathematics , library science
Forecasts are routinely revised, and these revisions are often the subject of informal analysis and discussion. This paper argues (1) that forecast revisions are analyzed because they help forecasters and forecast users to evaluate forecasts and forecasting procedures and (2) that these analyses can be sharpened by using the forecasting model to systematically express its forecast revision as the sum of components identified with specific subsets of new information, such as data revisions and forecast errors. An algorithm for this purpose is explained and illustrated.