Suicide may be viewed as an unfortunate outcome of failures in decision processes. Such
failures occur when the demands of a crisis exceed a person's capacity to (i) search for …

When choice is stochastic, revealed preference analysis often relies on random utility
models. However, it is impossible to infer preferences without assumptions on the …

The drift diffusion model (DDM) is a prominent account of how people make decisions. Many
of these decisions involve comparing two alternatives based on differences of perceived …

We study stochastic choice as the outcome of deliberate randomization. We derive a general
representation of a stochastic choice function where stochasticity allows the agent to …

The drift-diffusion model (DDM) is a model of sequential sampling with diffusion signals,
where the decision maker accumulates evidence until the process hits either an upper or …

Structural methods to estimate preferences for decisions under risk often perform poorly
when predicting new decisions out of sample. We compare standard structural methods to a …

Do people have well-defined social preferences waiting to be applied when making
decisions? Or do they have to construct social decisions on the spot? If the latter, how are …

Overwhelming evidence from the cognitive sciences shows that, in simple discrimination
tasks (determining what is louder, longer, brighter, or even which number is larger) humans …

We study random joint choice rules, allowing for interdependence of choice across agents.
These capture random choice by multiple agents, or a single agent across goods or time …

We provide two nested models of random reference-dependent choice in which the
reference point is endogenously determined by random processes. Random choice …