Bayes' statistical rule remains the status quo for modeling belief updating in both normative and descriptive models of behavior under uncertainty. Recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

Bayes' statistical rule remains the status quo formodeling belief updating in both normative and descriptive models of behavior under uncertainty. Some recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

Bayes' statistical rule remains the status quo for modeling belief updating in both normative and descriptive models of behavior under uncertainty. Some recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

Bayes' statistical rule remains the status quo for modeling belief updating in both normative and descriptive models of behavior under uncertainty. Some recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

We repeatedly elicit beliefs about the returns to study effort in a panel survey of students of a large university course. A behavioral model of quasi-hyperbolic discounting and malleable beliefs yields the prediction that the dynamics of return beliefs mirrors the importance of exerting...

Using novel time-use data from Germany before and after reunification, we document two facts: First, spouses who both work full-time exhibit similar housework patterns whether they do so voluntarily or due to a full-time mandate, as in the GDR. Second, men's amount of housework is independent of...

We study the causal relationship between moral values ("ought" statements) and factual beliefs ("is" statements) and show that, contrary to predictions of orthodox Bayesian models, values exert an influence on beliefs. This effect is mediated by prior political leanings and, thus, contributes to...

There are many important decision problems where learning through experimentation is costly or impossible. In these situations, individuals may try to learn from observing the outcomes of others who have made similar decisions. Often, however, information about others comprises a selected...