This paper experimentally studies two simple interventions aimed at increasing public goods provision in settings in which accurate feedback about contributions is not available. The first intervention aims to exploit lying aversion by requiring subjects to send a non-verifiable ex post...

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...

Confidence in one's own abilities is often seen as an important determinant of being successful. Empirical evidence about how such beliefs about one's own abilities causally influence choices is, however, sparse. In this paper, we use a stylized laboratory experiment to investigate the causal...

Confidence is often seen as the key to success. Empirical evidence about how such beliefs about one's abilities causally map into actions is, however, sparse. In this paper, we experimentally investigate the causal effect of an increase in confidence about one's own ability on two central...

Confidence is often seen as the key to success. Empirical evidence about how such beliefs about one's abilities causally map into actions is, however, sparse. In this paper, we experimentally investigate the causal effect of an increase in confidence about one's own ability on two central...

Confidence is often seen as the key to success. Empirical evidence about whether such beliefs causally map into actions is, however, sparse. In this paper, we experimentally investigate the causal effect of an increase in confidence about one's own ability on two central choices made by workers...

This paper specifies a new convenient algorithm to construct policy projections conditional on alternative anticipated policy-rate paths in linearized dynamic stochastic general equilibrium (DSGE) models, such as Ramses, the Riksbank's main DSGE model. Such projections with anticipated...