Random Rank-Dependent Expected Utility
Nail Kashaev, Victor Aguiar

TL;DR
This paper introduces a new way to characterize random rank-dependent expected utility for finite datasets and prizes, enabling statistical testing of decision-making models.
Contribution
It provides a novel characterization of random rank-dependent expected utility applicable to finite datasets, facilitating statistical testing.
Findings
Enables statistical testing of rank-dependent utility models
Applicable to finite datasets and prizes
Provides a new theoretical framework
Abstract
We present a novel characterization of random rank-dependent expected utility for finite datasets and finite prizes. The test lends itself to statistical testing using the tools in Kitamura and Stoye (2018).
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