This project examines the role of heterogeneity in gain-loss attitudes for identi- fying models of expectations-based reference dependence (Kőszegi and Rabin, 2006, 2007) (KR). Different gain-loss attitudes lead to different signs for KR comparative statics. Failure to account for the known...

This project examines the role of heterogeneity in loss aversion for identifying models of expectations-based reference dependence (Kőszegi and Rabin, 2006, 2007) (KR). Different levels of loss aversion lead to different signs for comparative statics previously used to test the KR model. In an...

An important advance in the study of reference-dependent preferences is the discipline provided by coherent accounts of reference point formation. Kőszegi and Rabin (2006) provide such discipline by positing a reference point grounded in rational expectations. We examine the predictions of...

Using a variety of datasets, we document some basic facts about the current subprime crisis. Many of these facts are applicable to the crisis at a national level, while some illustrate problems relevant only to Massachusetts and New England. We conclude by discussing some outstanding questions...

In this paper, we propose a decision framework where people are individually asked to either actively consent to or dissent from some pro-social behavior. We hypothesize that confronting individuals with the choice of whether to engage in a specific pro-social behavior contributes to the...

There is a longstanding concern that material incentives might undermine prosocial motivation, leading to a decrease in blood donations rather than an increase. This paper provides an empirical test of how material incentives affect blood donations in a large-scale eld experiment spanning three...

Economic analysis has said little about how an individual's cognitive skills (CS's) are related to the individual's preferences in different choice domains, such as risk-taking or saving, and how preferences in different domains are related to each other. Using a sample of 1,000 trainee truckers...