On the Optimality of Exclusion in Multi-dimensional Screening
نویسندگان
چکیده
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 illustrate the results with examples and applications. JEL Codes: C72, D42, D43, D82
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