In this note, we extend the Goyal and Joshi’s model of collaboration networks in oligopoly to multi-market situations. We examine the incentive of firms to form links and the architectures of the resulting equilibrium networks in this setting. We then present some results on efficient...

Using controlled experiments, we examine how individuals make choices when faced with multiple options. Choice tasks are designed to mimic the selection of health insurance, prescription drug, or retirement savings plans. In our experiment, available options can be objectively ranked, allowing...

This paper provides a modeling framework based on the system dynamics approach by which policy makers can understand the dynamic and complex nature of traffic congestion within a transportation socioeconomic system representation of a metropolitan area. This framework offers policy makers an...

We consider two different approaches to describe the formation of social networks under mutual consent and costly communication. First, we consider a network-based approach; in particular Jackson-Wolinsky's concept of pairwise stability. Next, we discuss a non-cooperative game-theoretic...

In this note we introduce different levels of decay in the Goyal, Galeotti and Kamphorst (GGK) insider-outsider model of network formation. First, we deal with situations where the amount of decay is sufficiently low to avoid superfluous connections in strict Nash networks and we examine the...

Theoretical models of group lending assume that all group members are identical in terms of their effect on repayment performance. In practice, however, this may not be true. We use a unique data set obtained from a survey of 160 borrowing groups in Jordan to investigate the impact of joint...

Several current issues in economics are centered on scheduling and matching problems, notably including the 2012 Nobel Prize winning work. Such problems usually lie outside the scope of most undergraduate courses. We present a relatively simple problem that can be used to introduce the graph...