Multidimensional mechanism design: Finite-dimensional approximations and efficient computation

dc.contributor.author

Belloni, A

dc.contributor.author

Lopomo, G

dc.contributor.author

Wang, S

dc.date.accessioned

2011-06-21T17:31:02Z

dc.date.issued

2010-07-01

dc.description.abstract

Multidimensional mechanism design problems have proven difficult to solve by extending techniques from the onedimensional case. This paper considers mechanism design problems with multidimensional types when the seller's cost function is not separable across buyers. By adapting results obtained by Border [Border, K. 1991. Implementation of reduced form auctions: A geometric approach. Econometrica 59 1175-1187], we transform the seller's problem into a representation that only involves "interim" variables and eliminates the dimensionality dependence on the number of buyers. We show that the associated infinite-dimensional optimization problem posed by the theoretical model can be approximated arbitrarily well by a sequence of finite-dimensional linear programming problems. We provide an efficient-i.e., terminating in polynomial time in the problem size-method to compute the separation oracle associated with the Border constraints and incentive compatibility constraints. This implies that our finite-dimensional approximation is solvable in polynomial time. Finally, we illustrate how the numerical solutions of the finite-dimensional approximations can provide insights into the nature of optimal solutions to the infinite-dimensional problem in particular cases. ©2010 INFORMS.

dc.description.version

Version of Record

dc.identifier.eissn

1526-5463

dc.identifier.issn

0030-364X

dc.identifier.uri

https://hdl.handle.net/10161/4439

dc.language.iso

en_US

dc.publisher

Institute for Operations Research and the Management Sciences (INFORMS)

dc.relation.ispartof

Operations Research

dc.relation.isversionof

10.1287/opre.1100.0824

dc.relation.journal

Operations research

dc.title

Multidimensional mechanism design: Finite-dimensional approximations and efficient computation

dc.title.alternative
dc.type

Journal article

duke.contributor.orcid

Belloni, A|0000-0001-9368-8833

duke.date.pubdate

2010-8-jul

duke.description.issue

4

duke.description.volume

58

pubs.begin-page

1079

pubs.end-page

1089

pubs.issue

4 PART 2

pubs.organisational-group

Duke

pubs.organisational-group

Economics

pubs.organisational-group

Fuqua School of Business

pubs.organisational-group

Statistical Science

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

58

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
280789200005.pdf
Size:
248.98 KB
Format:
Adobe Portable Document Format