Friend-based ranking

Francis Bloch; Matthew Olckers

doi:10.1257/mic.20190333

Friend-based ranking

Francis Bloch^*, Matthew Olckers

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

We analyze the design of a mechanism to extract a ranking of individuals according to a unidimensional characteristic, such as ability or need. Individuals, connected on a social network, only have local information about the ranking. We show that a planner can construct an ex post incentive compatible and efficient mechanism if and only if every pair of friends has a friend in common.

Original language	English
Pages (from-to)	176-214
Number of pages	39
Journal	American Economic Journal: Microeconomics
Volume	14
Issue number	2
DOIs	https://doi.org/10.1257/mic.20190333
Publication status	Published - 2022
Externally published	Yes

Access to Document

10.1257/mic.20190333

Cite this

@article{15b0465042d5437db9fa409e649c7af1,

title = "Friend-based ranking",

abstract = "We analyze the design of a mechanism to extract a ranking of individuals according to a unidimensional characteristic, such as ability or need. Individuals, connected on a social network, only have local information about the ranking. We show that a planner can construct an ex post incentive compatible and efficient mechanism if and only if every pair of friends has a friend in common.",

author = "Francis Bloch and Matthew Olckers",

year = "2022",

doi = "10.1257/mic.20190333",

language = "English",

volume = "14",

pages = "176--214",

journal = "American Economic Journal: Microeconomics",

issn = "1945-7669",

publisher = "American Economic Association",

number = "2",

}

TY - JOUR

T1 - Friend-based ranking

AU - Bloch, Francis

AU - Olckers, Matthew

PY - 2022

Y1 - 2022

N2 - We analyze the design of a mechanism to extract a ranking of individuals according to a unidimensional characteristic, such as ability or need. Individuals, connected on a social network, only have local information about the ranking. We show that a planner can construct an ex post incentive compatible and efficient mechanism if and only if every pair of friends has a friend in common.

AB - We analyze the design of a mechanism to extract a ranking of individuals according to a unidimensional characteristic, such as ability or need. Individuals, connected on a social network, only have local information about the ranking. We show that a planner can construct an ex post incentive compatible and efficient mechanism if and only if every pair of friends has a friend in common.

UR - https://www.scopus.com/pages/publications/85130603395

U2 - 10.1257/mic.20190333

DO - 10.1257/mic.20190333

M3 - Article

AN - SCOPUS:85130603395

SN - 1945-7669

VL - 14

SP - 176

EP - 214

JO - American Economic Journal: Microeconomics

JF - American Economic Journal: Microeconomics

IS - 2

ER -

Friend-based ranking

Abstract

Access to Document

Other files and links

Fingerprint

Cite this