According to evolutionary game theory, cooperation in public goods games is eliminated by free-riders, yet in nature, cooperation is ubiquitous. Artificial models resolve this contradiction via the mechanism of network reciprocity. However, existing research only addresses pre-existing networks and does not specifically consider their origins. Further, much work has focused on scale-free networ...

The free software and free culture movements have radically changed the ways of producing software and knowledge goods. In many cases, participation in such project is benefit-driven rather than profit-driven. Participants get involved in order to realize some practical or social benefit, not because of monetary gains. Another difference from marketand firm-based production is that peer product...

By lowering the costs of gathering and sharing information and offering new ways to learn about products before purchase, the Internet reduces traditional distinctions between search and experience goods. At the same time, differences in the type of information sought for search and experience goods can precipitate differences in the process through which consumers gather information and make d...

This paper studies the role of bundling in the efficient provision of excludable public goods. We show that bundling in the provision of unrelated public goods can enhance social welfare. With a large number of goods and agents, first best can be approximated with pure bundling. For a parametric class of problems with binary valuations, we characterize the optimal mechanism, and show that bundl...

We introduce a new interpretation of two re­ lated notions conditional utility and utility independence. Unlike the traditional inter­ pretation, the new interpretation render the notions the direct analogues of their prob­ abilistic counterparts. To capture these no­ tions formally, we appeal to the notion of util­ ity distribution, introduced in previous paper. We show that utility distributi...

We propose the group knockoff filter, a method for false discovery rate control in a linear regression setting where the features are grouped, and we would like to select a set of relevant groups which have a nonzero effect on the response. By considering the set of true and false discoveries at the group level, this method gains power relative to sparse regression methods. We also apply our me...

In this paper we consider the classical problem of dividing a land among many agents so that everybody is satisfied with the parcel she receives. In the literature, it is usually assumed that all the agents are endowed with cardinally comparable, additive, and monotone utility functions. In many economic and political situations violations of these assumptions may arise. We show how a family of...