Monotonicity in optimal mechanisms in general quasi-linear environments with a continuum of types
Yu Chen ()
Additional contact information
Yu Chen: University of Graz
Economic Theory Bulletin, 2019, vol. 7, issue 2, No 10, 277-290
Abstract:
Abstract This paper provides conditions for the existence of optimal mechanism, in which the assignment rule takes the monotonic form and is determined independently of the transfer rule, in a principal-agent problem with a general quasi-linear environment. It is based on a complete characterization result of incentive-compatible mechanisms by monotonicity, envelope, and lower boundary individual rationality conditions. In particular, we present a general result for such an existence, which is also applicable to the scenarios without linear payoffs or regularity (lattice-related) conditions.
Keywords: Monotonicity; Principal-agent problem; Optimal mechanism; Quasi-linear environment; Helly’s selection principle (search for similar items in EconPapers)
JEL-codes: C62 D82 D86 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40505-018-00161-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:etbull:v:7:y:2019:i:2:d:10.1007_s40505-018-00161-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40505
DOI: 10.1007/s40505-018-00161-1
Access Statistics for this article
Economic Theory Bulletin is currently edited by Nicholas C. Yannelis
More articles in Economic Theory Bulletin from Springer, Society for the Advancement of Economic Theory (SAET) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().