We investigate leading by example in a public goods game in scenarios with and without intergroup competition. Leading by example is implemented via a sequential decision protocol. We examine both one-shot and repeated interaction and make use of the strategy method to characterize followers'...

Koukoumelis et al. (2010, 2012) have shown that one-way communication enhances contributions to public goods. We investigate the effectiveness of one-way communication, when the benefits from the public good are asymmetric and the sender of a message is the main beneficiary of cooperation. Our...

We report experimental findings on the impact of network structure on decentralized monitoring and punishment in public goods games. In the environment we study, individuals can only directly monitor and punish their immediate neighbors in an exogenously determined network. We examine...

This article examines the nature of human behavior in a nested social dilemma referred to as the Spillover Game. Players are divided into two groups with positive production interdependencies. Based on theoretically derived opportunistic, local, and global optima, our experimental results...

Punishment institutions for curtailing free-riding in social dilemmas rely on information about individuals' behavior collected through monitoring. We contribute to the experimental study of cooperation-enhancing institutions by examining how cooperation and efficiency in a social dilemma change...

This article examines the nature of human behavior in a nested socialdilemma referred to as the Spillover Game. Players are divided into twogroups with positive production interdependencies. Based on theoreticallyderived opportunistic, local, and global optima, our experimental...

Two separate bodies of work have examined whether culture affects cooperation in economic games and whether cooperative or non-cooperative decisions occur more quickly. Here, we connect this work by exploring the relationship between decision time and cooperation in American versus Indian...