The Robustness of Exclusion in Multi-dimensional Screening
نویسندگان
چکیده
We extend Armstrong’s [2] result on exclusion in multi-dimensional screening models in two key ways, providing support for the view that this result is generic and applicable to many different markets. First, we relax the strong technical assumptions he imposed on preferences and consumer types. Second, we extend the result beyond the monopolistic market structure to generalized oligopoly settings with entry. We also analyze applications to several quite different settings: credit markets, the automobile industry, research grants, the regulation of a monopolist with unknown demand and cost functions, and involuntary unemployment in the labor market. JEL Codes: C73, D82
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On the Optimality of Exclusion in Multi-dimensional Screening
We extend Armstrong’s [1] result on exclusion in multi-dimensional screening models providing support for the view that the result holds true in a large class of models. We first relax some of the strong technical assumptions he imposed and provide alternative su cient conditions for exclusion not relying on any form of convexity. We then proceed to show that exclusion obtains generically. We i...
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