Euler equation estimation of intertemporal consumption models imposes heavy demands on data and identifiability conditions. For example, one typically needs panel data on consumption, assumptions on expectations, and a parameterization of preferences. The authors aim at reducing some of these...

Abstract We specify and estimate an econometric model which separately identifies the effects of distributional preferences and penalizing unfair proposer behavior ("perceived intentions") on responder decisions in the ultimatum game. We allow the effects of perceived intentions to depend, among...

Euler equation estimation of intertemporal consumption models requires many, often unverifiable assumptions. These include assumptions on expectations and preferences. We aim at reducing some of these requirements by using direct subjective information on respondents' preferences and...

We specify and estimate an econometric model which separately identifies distributional preferences and the effects of perceived intentions on responder behavior in the ultimatum game. We allow the effects of perceived intentions to depend, among other things, on the subjective probabilities...

SUMMARY We develop a panel data model explaining answers to subjective probabilities about binary events and estimate it using data from the Health and Retirement Study on six such probabilities. The model explicitly accounts for several forms of ‘reporting behavior’: rounding, focal point...

We combine the choice data of proposers and responders in the ultimatum game, their expectations elicited in the form of subjective probability questions, and the choice data of proposers ("dictators") in a dictator game to estimate a structural model of decision making under uncertainty. We use...

We combine the choice data of proposers and responders in the ultimatum game, their expectations elicited in the form of subjective probability questions, and the choice data of proposers (dictators) in a dictator game to estimate a structural model of decision making under uncertainty. We use a...