1996
DOI: 10.1006/game.1996.0067
|View full text |Cite
|
Sign up to set email alerts
|

The Evolutionary Stability of Auctions over Bargaining

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
51
1

Year Published

1998
1998
2022
2022

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 50 publications
(53 citation statements)
references
References 11 publications
1
51
1
Order By: Relevance
“…A recent model by Lu and McAfee (1996) fulfills these requirements. They study the relative performance of auction markets, and bargaining markets in a setting where agents are randomly matched.…”
Section: Introductionmentioning
confidence: 94%
See 2 more Smart Citations
“…A recent model by Lu and McAfee (1996) fulfills these requirements. They study the relative performance of auction markets, and bargaining markets in a setting where agents are randomly matched.…”
Section: Introductionmentioning
confidence: 94%
“…The purpose of this article is to study posted price markets in a similar setting as Lu and McAfee (1996). It turns out that posted price markets are equivalent to auction markets which is somewhat surprising since the divison of surplus seems much different.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Yet, other factors also appear to be involved in determining when auctions are used. Lu and McAfee (1996) state that "the goods sold through either bargaining or auction institutions have similar properties: they are unique, expensive, and with uncertain equilibrium prices" (p. 229). Wang (1993) rejects the role of mean valuations in determining whether an auction is superior to a posted-price, taking a position consistent with Milgrom (1987), who states that "the only clear common denominator for the kinds of objects that are sold at auction is the need to establish individual prices for each item sold" (p. 2).…”
Section: Why Auctions?mentioning
confidence: 99%
“…The aim of this note is to present a well known and well specified random matching model (see Lu and McAfee, 1996) and show that it exhibits constant returns to scale We also present a variation of the model, and determine the conditions under which it exhibits decreasing, constant, and increasing returns to scale. The matching model itself is attractive since it is amenable to applications, and because the meetings are not restricted to be pairwise; an agent can meet any number of other agents.…”
mentioning
confidence: 99%