We develop and estimate a panel data model explaining the answers to questions about subjective probabilities, using data from the US Health and Retirement Study. We explicitly account for nonresponse, rounding, and focal point "50 percent" answers. Our results indicate that for three of the...

We develop and estimate a panel data model explaining the answers to questions about subjective probabilities, using data from the US Health and Retirement Study. We explicitly account for nonresponse, rounding, and focal point “50 percent” answers. Our results indicate that for three of the...

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...

We develop and estimate a panel data model explaining the answers to questions about subjective probabilities, using data from the US Health and Retirement Study. We explicitly account for nonresponse, rounding, and focal point 50 percent answers. Our results indicate that for three of the four...

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...