Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/125559
Authors: 
Schweizer, Nikolaus
Szech, Nora
Year of Publication: 
2015
Series/Report no.: 
WZB Discussion Paper SP II 2015-307
Abstract: 
In mechanism design, Myerson regularity is often too weak for a quantitative analysis of performance. For instance, ratios between revenue and welfare, or sales probabilities may vanish at the boundary of Myerson regularity. This paper therefore explores the quantitative version of Myerson regularity, which we call λ-regularity. It measures how Myerson regular a distribution is. In doing so, we unify separate literatures in economics, computer science, applied mathematics and statistics. The concept has appeared before, e.g., under the names of ρ-concavity and α-strong-regularity. We provide many new results for quantitative auction and mechanism design.
Subjects: 
lambda-regularity
Myerson regularity
monotone hazard rate
auctions
mechanism design
approximation
JEL: 
D44
D47
D82
Document Type: 
Working Paper

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