How does overconfidence arise and how does it persist in the face of experience and feedback? In an experimental setting, we examine how individuals’ beliefs about their own performance on a quiz react to noisy, but unbiased feedback. In a control treatment, each participant expresses her...

We document a lower bound for thecontrol premium: agents' willingness to pay to control their own payoff. Participants choose between an asset that will pay only if they later answer a particular quiz question correctly and one that pays only if their partner answers a different question...

How do individuals’ beliefs respond to ego-relevant information? After receiving noisy, but unbiased performance feedback, participants in an experiment overestimate their own scores on a quiz and believe their feedback to be ‘unlucky’, estimating that it under-represents their score by...

Previous economic experiments on dual-process reasoning in altruistic decisions have yielded inconclusive results. However, these studies do not create a conflict between affective and cognitive motives, resulting in imperfect identification. We interact standard cognitive and affective...

Avoiding information about adverse welfare consequences of self-interested decisions, orstrategic ignorance, is an important source of corruption, anti-social behavior and even atrocities. We model an agent who cares about self-image and has the opportunity to learn the social benefits of a...

I investigate the relative importance of social-signaling versus self-signaling in driving giving. I derive specific qualitative predictions about how the response of an image-motivated dictator to a change in the probability that her choice will be implemented depends crucially on the...

How robust are social preferences to variations in the environment in which a decision is made? By varying the elicitation method and default choice in the `moral wiggle-room' game of Dana, Weber, and Kuang (2007), I examine the robustness and nature of the pattern of information avoidance in...