We experimentally study the effect of alternative campaign finance systems - as characterized by different information structure about donors - on donations, election outcomes, political candidates' policy choices, and welfare. Three alternative campaign finance systems are considered: a full...

We experimentally study the transparency effect of alternative campaign finance systems on donations, election outcomes, policy choices, and welfare. Three alternatives are considered: one where donors' preferences and donations are unobserved by the candidate and public; one where they are...

We study how the predictive power of level-k models changes as we perturb the classical beauty contest setting along two dimensions: the strength of the coordination motive and the information symmetry. We use a variation of the Morris and Shin (2002) model as the unified framework for our...

We experimentally study the profitability of pricing mechanisms that allow customers to quote their own prices, such as Priceline.com's Name-Your-Own-Price (NYOP). Presumably firms find this sales method profit-maximizing despite the concerns that NYOP web-sites can cannibalize profit from...

We experimentally study the transparency effect of alternative campaign finance systems on donations, election outcomes, policy choices, and welfare. Three alternatives are considered: one where donors' preferences and donations are unobserved by the candidate and public; one where they are...

We study how the predictive power of level-k models changes as we perturb the classical beauty contest setting along two dimensions: the strength of the coordination motive and the information symmetry. We use a variation of the Morris and Shin (2002) model as the unified framework for our...

We report an experiment designed to study whether inecient rms are systematically driven from overcrowded markets. We implement a series of 3800 wars of attrition of a type modeled in Fudenberg and Tirole (1986). Exit tends to be ecient and exit times conform reasonably well to point predictions...