On the optimality of exclusion in multi-dimensional screening

We extend Armstrong’s (1996) 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 sufficient 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.

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Year of publication:	2014
Authors:	Barelli, Paulo ; Basov, Suren ; Bugarin, Mauricio ; King, Ian
Published in:	Journal of Mathematical Economics. - Elsevier, ISSN 0304-4068. - Vol. 54.2014, C, p. 74-83
Publisher:	Elsevier
Subject:	Multi-dimensional screening \| Exclusion \| Regulation of a monopoly \| Involuntary unemployment

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010940013