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  • testing dynamic models-final

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An Experimental Test of the Predictive Power of Dynamic Ambiguity Models

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>1/08/2019
<mark>Journal</mark>Journal of Risk and Uncertainty
Issue number1
Volume59
Number of pages33
Pages (from-to)51-83
<mark>State</mark>Published
<mark>Original language</mark>English

Abstract

In this paper we report results from an economic experiment where we investigate the predictive performance of dynamic ambiguity models in the gains domain. Representing ambiguity with the aid of a transparent and non-manipulable device (a Bingo Blower) and using two-stage allocation questions, we gather data that allow us to estimate particular parametric forms of the various functionals and compare their relative performance in terms of out-of-sample fit. Our data show that a dynamic specification of Prospect Theory has the best predictive capacity, closely followed by Choquet Expected Utility, while multiple priors theories can predict choice only for a very restricted subset of our subjects.

Bibliographic note

The final publication is available at Springer via http://dx.doi.org/10.1007/s11166-019-09311-7