The seller of N distinct objects is uncertain about the buyer's valuation for those objects. The seller's problem, to maximize expected revenue, consists of maximizing a linear functional over a convex set of mechanisms. A solution to the seller's problem can always be found in an extreme point...

Time overruns are common in public works and are not confined to inherently complex tasks. One explanation advanced in this paper is that bidders can undergo unpredictable changes in production costs which generate an option value of waiting. By exploiting the real-option approach, we examine...

Using a natural voting experiment in Switzerland that encompasses a 160-year period (1848-2009), we investigate whether a higher level of complexity leads to increased reliance on expert knowledge. We find that when more referenda are held on the same day, constituents are more likely to refer...

As addressing climate change becomes a high priority it seems likely that there will be a surge in interest in deploying nuclear power. Other fuel bases are too dirty (coal), too expensive (oil, natural gas) or too speculative (solar, wind) to completely supply the energy needs of the global...

We introduce two pieces of information, denoted memes, into a diffusion process in which memes are transmitted when individuals meet and forgotten at an exogenous rate. At most one meme can be transmitted at a meeting, which introduces opportunity costs in the process. Individuals differ...

We propose a stylized model of a problem-solving organization whose internal communication structure is given by a fixed network. Problems arrive randomly anywhere in this network and must find their way to their respective "specialized solvers" by relying on local information alone. The...

This paper models the dynamic process through which a large society may succeed in building up its "social capital" by establishing a stable and dense pattern of interaction among its members. In the model, agents interact according to a collection of infinitely repeated Prisoner's Dilemmas...

This paper analyses the efficient management of nonpoint source pollution (NPS) under limited pollution control budget and incomplete information inherent in NPS pollution. By incorporating information acquisition into a pollution control model, it focuses on the tradeoff between data collection...

This paper analyses budget-constrained, nonpoint source (NPS) pollution control with costly information acquisition and learning. To overcome the inherent ill-posed statistical problem in NPS pollution data the sequential entropy filter is applied to the sediment load management program for...