Statistical inference for measures of predictive success

T. Demuynck

doi:10.1007/s11238-015-9486-z

Statistical inference for measures of predictive success

T. Demuynck^*

^*Corresponding author for this work

Microeconomics & Public Economics

Research output: Contribution to journal › Article › Academic › peer-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.

data source: no data

Original language	English
Pages (from-to)	689-699
Journal	Theory and Decision
Volume	79
Issue number	4
DOIs	https://doi.org/10.1007/s11238-015-9486-z
Publication status	Published - 1 Jan 2015

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10.1007/s11238-015-9486-zLicence: CC BY

Cite this

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AB - 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.data source: no data

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