The “gambler’s fallacy” is the false belief that a random event is less likely to occur if the event has occurred recently. Such beliefs are false if the onset of events is in fact independent of previous events. We study gender differences in the gambler’s fallacy using data from the...

We investigate the "law of small numbers" using a unique panel data set on lotto gambling. Because we can track individual players over time, we can measure how they react to outcomes of recent lotto drawings. We can therefore test whether they behave as if they believe they can predict lotto...

In this paper we study the effects of providing additional feedback about individual contributions and earnings on the dynamics of contributions in a repeated public good game. We include treatments where subjects can freely choose whether to obtain additional information about individual...

We use a novel experimental design to examine the role of reputational concerns in explaining conditional cooperation in social dilemmas. By using the strategy method in a repeated sequential prisoners’ dilemma in which the probabilistic end is known, we can distinguish between strategically...

In this paper we measure experienced guilt in a prisoner’s dilemma experiment with pre-play communication. We find that feelings of guilt only arise in the case of unilateral defection and that they are stronger when players have mutually agreed to cooperate. We also find that fining...

We report experimental results on exclusive dealing inspired by the literature on "naked exclusion". Our key findings are: First, exclusion of a more efficient entrant is a widespread phenomenon in lab markets. Second, allowing incumbents to discriminate between buyers increases exclusion rates...

We use a novel experimental design to disentangle strategically- and non-strategically-motivated cooperation. By using contingent responses in a repeated sequential prisoners’ dilemma with a known probabilistic end, we differentiate end-game behavior from continuation behavior within...