Many player asymptotics for large network formation problems

Konrad Menzel

doi:10.1016/B978-0-12-811771-2.00014-6

Many player asymptotics for large network formation problems

Konrad Menzel

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter presents a limiting theory for models of network formation that assumes that the number of nodes (agents) grows large. We illustrate how asymptotic representations of large but finite networks are useful for identification analysis, estimation, and approximate inference on structural parameters of the economic model.

Original language	English (US)
Title of host publication	The Econometric Analysis of Network Data
Publisher	Elsevier
Pages	183-223
Number of pages	41
ISBN (Electronic)	9780128117712
ISBN (Print)	9780128117729
DOIs	https://doi.org/10.1016/B978-0-12-811771-2.00014-6
State	Published - Jan 1 2020

Keywords

de Finetti's theorem
Exchangeability
Large Games
Matching Markets
Multiple Equilibria
Set Estimation
Strategic Interaction
Strategic Neighborhoods

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
General Business, Management and Accounting

Access to Document

10.1016/B978-0-12-811771-2.00014-6

Cite this

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keywords = "de Finetti's theorem, Exchangeability, Large Games, Matching Markets, Multiple Equilibria, Set Estimation, Strategic Interaction, Strategic Neighborhoods",

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KW - Large Games

KW - Matching Markets

KW - Multiple Equilibria

KW - Set Estimation

KW - Strategic Interaction

KW - Strategic Neighborhoods

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BT - The Econometric Analysis of Network Data

PB - Elsevier

ER -

Many player asymptotics for large network formation problems

Abstract

Keywords

ASJC Scopus subject areas

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