We investigate the feasibility of inferring the choices people would make (if given the opportunity) based on their neural responses to the pertinent prospects when they are not engaged in actual decision making. The ability to make such inferences is of potential value when choice data are...

A central task in microeconomics is to predict choices in as-yet-unobserved situations (e.g., after some policy intervention). Standard approaches can prove problematic when sufficiently similar changes have not been observed or do not have observable exogenous causes. We explore an alternative...

This paper has two goals. First, we discuss several emerging approaches to applied welfare analysis under non-standard (“behavioral”) assumptions concerning consumer choice. This provides a foundation for Behavioral Public Economics. Second, we illustrate applications of these approaches by...

We investigate the feasibility of inferring the choices people would make (if given the opportunity) based on their neural responses to the pertinent prospects when they are not engaged in actual decision making. The ability to make such inferences is of potential value when choice data are...

We examine democratic policy-making in a simple institution with real-time agenda setting. Individuals are recognized sequentially. Once recognized, an individual makes a proposal, which is immediately put to a vote. If a proposal passes, it supercedes all previously passed proposals. The policy...

Are market and voting institutions capable of producing optimal intergenerational risk-sharing? To study this question, we consider a simple endowment economy with uncertainty and overlapping generations. Endowments are stochastic; thus it is possible to increase the welfare of every generation...

We make hundreds of decisions every day, many of them extremely quickly and without much explicit deliberation. This motivates two important open questions: What is the minimum time required to make choices with above chance accuracy? What is the impact of additional decision-making time on...

Neuroeconomics combines methods and theories from neuroscience psychology, economics, and computer science in an effort to produce detailed computational and neurobiological accounts of the decision-making process that can serve as a common foundation for understanding human behavior across the...