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- Dan Ariely, Emir Kamenica
- 2008
We investigate how perceived meaning influences labor supply. In a laboratory setting, we manipulate the perceived meaning of simple, repetitive tasks and find a strong influence on subjects’ labor… (More)
2590 Suppose one person, call him Sender, wishes to persuade another, call her Receiver, to change her action. If Receiver is a rational Bayesian, can Sender persuade her to take an action he would… (More)
We examine causes and consequences of relative income within households. We show that the distribution of the share of income earned by the wife exhibits a sharp drop to the right of 1 2 , where the… (More)
- Emir Kamenica
- 2006
Numerous studies demonstrate that seemingly irrelevant factors influence people’s decisions. Perhaps the best known examples of such influence are context effects. A consumer exhibits a context… (More)
- Raymond J. Fisman, Nikolaj A. Harmon, Emir Kamenica, Inger Munk
- 2012
Using data on Members of the European Parliament (MEPs), we examine the impact of salaries on the composition and the behavior of legislators. Employing a differences-in-differences approach, we… (More)
- Emir Kamenica
- 2012
Monetary incentives can backfire while nonstandard interventions, such as framing, can be effective in influencing behavior. I review the empirical evidence on these two sets of anomalies. Paying for… (More)
We model demand for noninstrumental information, drawing on the idea that people derive entertainment utility from suspense and surprise. A period has more suspense if the variance of the next… (More)
In settings such as investing for retirement or choosing a drug plan, individuals typically face a large number of options. In this paper, we analyze how the size of the choice set influences which… (More)
Rothschild and Stiglitz (1970) represent random variables as convex functions (integrals of the cumulative distribution function). Combining this representation with Blackwell’s Theorem (1953), we… (More)
We study the design of informational environments in settings where generating information is costly. We assume that the cost of a signal is proportional to the expected reduction in uncertainty. We… (More)