We propose a robust method of discrete choice analysis when agents' choice sets are unobserved. Our core model assumes nothing about agents' choice sets apart from their minimum size. Importantly, it leaves unrestricted the dependence, conditional on observables, between agents' choice sets and...

Karni and Vierø (2013) propose a model of belief revision under growing awareness- reverse Bayesianism- which posits that as a person becomes aware of new acts, conse- quences, or act-consequence links, she revises her beliefs over an expanded state space in a way that preserves the relative...

We propose a robust method of discrete choice analysis when agents' choice sets are unobserved. Our core model assumes nothing about agents' choice sets apart from their minimum size. Importantly, it leaves unrestricted the dependence, conditional on observables, between agents' choice sets and...

We leverage the assumption that preferences are stable across contexts to partially identify and conduct inference on the parameters of a structural model of risky choice. Working with data on households' deductible choices across three lines of insurance coverage and a model that nests expected...

We use data on insurance deductible choices to estimate a structural model of risky choice that incorporates standard risk aversion (diminishing marginal utility for wealth) and probability distortions. We find that probability distortions - characterized by substantial overweighting of small...

Karni and Viero (2013) propose a model of belief revision under growing awareness reverse Bayesianism which posits that as a person becomes aware of new acts, consequences, or act-consequence links, she revises her beliefs over an expanded state space in a way that preserves the relative...