We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N=3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

In an experiment that elicits subjects' willingness to pay (WTP) for the outcome of a lottery, we confirm the fourfold pattern of risk attitudes described by Kahneman and Tversky. In addition, we document a systematic effect of stake sizes on the magnitude and sign of the relative risk premium,...

We study the generation, transmission, and effects of causal narratives - narratives which describe a (potentially incorrect) causal relationship between variables. In a controlled experiment, we show that exogenously generated causal narratives manipulate the beliefs and actions of subjects in...

We conduct a novel lab experiment in which pairs of subjects make separable decisions about allocative efficiency and equity in different agency structures. In terms of equity, subjects appropriate all surplus when they can, and share equally when they have to negotiate. They achieve high...

We propose and initiate the study of privacy elasticity--the responsiveness of economic variables to small changes in the level of privacy given to participants in an economic system. Individuals rarely experience either full privacy or a complete lack of privacy; we propose to use differential...

We consider the optimal policy problem of a benevolent planner, who is uncertain about an individual's true preferences because of inconsistencies in revealed preferences across behavioral frames. We adapt theories of expected utility maximization and ambiguity aversion to characterize the...

Whether, and to what extent, behavioral anomalies uncovered in the lab manifest themselves in the field remains of first order importance in finance and economics. We begin by examining behavior of retail traders/investors making investment decisions in constructed laboratory markets. Our...

Deferred Acceptance (DA), a widely implemented algorithm, is meant to improve allocations: under classical preferences, it induces preference-concordant rankings. However, recent evidence shows that--in both real, large-stakes applications and experiments--participants frequently play seemingly...