Statistical inference for measures of predictive success

T. Demuynck

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We provide statistical inference for measures of predictive success. These measures are frequently used to evaluate and compare the performance of different models of individual and group decision making in experimental and revealed preference studies. We provide a brief illustration of our findings by comparing the predictive success of different revealed preference tests for models of intertemporal decision making. This demonstrates that it is possible to compare the predictive success of different models in a statistically meaningful way.

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Original languageEnglish
Pages (from-to)689-699
JournalTheory and Decision
Volume79
Issue number4
DOIs
Publication statusPublished - 1 Jan 2015

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