A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...

We estimate a dynamic programming model of schooling decisions in which the degree of risk aversion can be inferred from schooling decisions. In our model, individuals are heterogeneous with respect to school and market abilities but homogeneous with respect to the degree of risk aversion. We...

To examine the relationship between early health status and financial decisions in adulthood, we link information on birth weight in 1966 from the Northern Finland Birth Cohort to data from the Finnish Central Securities Depository over the period of 1995-2010. We find that persons predisposed...

Many models of investor behavior predict that investors prefer assets that they believe to have positively skewed return distributions. We provide a direct test of this prediction in a representative sample of the Dutch population. Using individual-level data on return expectations for a broad...

There is a large literature estimating Arrow-Pratt coefficients of absolute and relative risk aversion. A striking feature of this literature is the very wide variation in the reported estimates of the coefficients. While there are often legitimate reasons for these differences in the estimates,...

We report on a laboratory experiment testing for the presence of loss aversion, as separate from risk aversion, utilizing an asset integration protocol designed to ensure that a loss of cash provided by the experimenter is viewed as a real loss by experimental participants. Our experimental...

The impact of wage increases on job satisfaction is explored theoretically and empirically. To do this, we apply a utility function that rises with the absolute wage level as well as with wage increases. It is shown that when employees can influence their wages by exerting effort, myopic utility...

Subjective well-being (SWB) data is increasingly used to perform welfare analyses. Interpreted as 'experienced utility', SWB has recently been compared to 'decision utility' using specific experiments, most often based on stated preferences. Results point to an overall congruence between these...