Mostly calibrated

Prequential testing of a forecaster is known to be manipulable if the test must pass an informed forecaster for all possible true distributions. Stewart (J Econ Theory 146(5):2029–2041, 2011 ) provides a non-manipulable prequential likelihood test that only fails an informed forecaster on a small, c...

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Veröffentlicht in:International journal of game theory 2015-02, Vol.44 (1), p.153-163
Hauptverfasser: Feinberg, Yossi, Lambert, Nicolas S.
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description Prequential testing of a forecaster is known to be manipulable if the test must pass an informed forecaster for all possible true distributions. Stewart (J Econ Theory 146(5):2029–2041, 2011 ) provides a non-manipulable prequential likelihood test that only fails an informed forecaster on a small, category I, set of distributions. We present a prequential test based on calibration that also fails the informed forecaster on at most a category I set of true distributions and is non-manipulable. Our construction sheds light on the relationship between likelihood and calibration with respect to the distributions they reject.
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subjects Analysis
Behavioral/Experimental Economics
Calibration
Economic Theory/Quantitative Economics/Mathematical Methods
Economics
Economics and Finance
Game Theory
Normal distribution
Operations Research/Decision Theory
Probability
Rain
Social and Behav. Sciences
Stochastic models
Studies
title Mostly calibrated
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