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Main Authors: Lahr, Patrick, Niemeyer, Axel
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.00649
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author Lahr, Patrick
Niemeyer, Axel
author_facet Lahr, Patrick
Niemeyer, Axel
contents We characterize the extreme points of the set of incentive-compatible mechanisms for screening problems with linear utility. Our framework subsumes problems with and without transfers, such as monopoly pricing, principal-optimal bilateral trade and barter exchange, delegation and veto bargaining, or belief elicitation via proper scoring rules. In every problem with one-dimensional types, extreme points admit a tractable description. In every problem with multi-dimensional types, extreme points are dense in a rich subset of incentive-compatible mechanisms, which we call exhaustive mechanisms. Building on these characterizations, we derive parallel conclusions for mechanisms that can be rationalized as (uniquely) optimal under a fixed objective. For example, in the multi-good monopoly problem, mechanisms that uniquely maximize revenue for some type distribution are dense among all incentive-compatible and individually rational mechanisms. The proofs exploit a novel connection between menus of extreme points and indecomposable convex bodies, first studied by Gale (1954).
format Preprint
id arxiv_https___arxiv_org_abs_2412_00649
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Extreme Points in Multi-Dimensional Screening
Lahr, Patrick
Niemeyer, Axel
Theoretical Economics
Computer Science and Game Theory
We characterize the extreme points of the set of incentive-compatible mechanisms for screening problems with linear utility. Our framework subsumes problems with and without transfers, such as monopoly pricing, principal-optimal bilateral trade and barter exchange, delegation and veto bargaining, or belief elicitation via proper scoring rules. In every problem with one-dimensional types, extreme points admit a tractable description. In every problem with multi-dimensional types, extreme points are dense in a rich subset of incentive-compatible mechanisms, which we call exhaustive mechanisms. Building on these characterizations, we derive parallel conclusions for mechanisms that can be rationalized as (uniquely) optimal under a fixed objective. For example, in the multi-good monopoly problem, mechanisms that uniquely maximize revenue for some type distribution are dense among all incentive-compatible and individually rational mechanisms. The proofs exploit a novel connection between menus of extreme points and indecomposable convex bodies, first studied by Gale (1954).
title Extreme Points in Multi-Dimensional Screening
topic Theoretical Economics
Computer Science and Game Theory
url https://arxiv.org/abs/2412.00649