A DECISION THEORETIC APPROACH TO FORECAST EVALUATION
Published 1 April 2000
Clive W. J. Granger, M. Hashem Pesaran
Citations37
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
This paper addresses the problem of forecast evaluation in the context of a simple but realistic decision problem, and proposes a procedure, for the evaluation of forecasts based on their average realized value to the decision maker. It is shown that by concentrating on probability forecasts stronger theoretical results can be achieved than if just event forecasts were used. A possible generalisation is considered concerning the use of the correct, conditional predictive density function when forming forecasts.
Keywords
Mathematics
Journal of the American Statistical AssociationBayesian Estimation and Prediction Using Asymmetric Loss Functions
854 Citations1986Arnold Zellner
Monthly Weather ReviewComparative Evaluation of Weather Forecasting Systems: Sufficiency, Quality, and Accuracy
43 Citations1988Martin Ehrendorfer, Allan H. Murphy
This paper examines the concept of sufficiency in the context of comparative evaluation of simple probabilistic weather forecasting systems and investigates its interpretations and implications from perspectives provided by a recently developed general framework for forecast verification.
Journal of ForecastingQuality/value relationships for imperfect weather forecasts in a prototype multistage decision‐making model
19 Citations1990Richard W. Katz, Allan H. Murphy
