Social networking and individual outcomes beyond the mean field case

Yannis M. Ioannides; Adriaan R. Soetevent

doi:10.1016/j.jebo.2006.06.017

Social networking and individual outcomes beyond the mean field case

Yannis M. Ioannides^*, Adriaan R. Soetevent

^*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

We study individually optimized continuous outcomes in a dynamic environment in the presence of social interactions, and where the interaction topology may be either exogenous and time varying, or endogenous. The model accommodates more general social effects than those of the mean-field type. We address endogenous networking by assuming that each individual chooses the weights she attaches to the characteristics and the decisions of other agents. This amounts to choosing the elements of a row of a weighted adjacency matrix. Endogenous social networking thus involves simultaneity between decisions and patterns of directed social interactions. (c) 2007 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	369-390
Number of pages	22
Journal	Journal of Economic Behavior & Organization
Volume	64
Issue number	3-4
DOIs	https://doi.org/10.1016/j.jebo.2006.06.017
Publication status	Published - 2007
Externally published	Yes
Event	Workshop on Networks, Aggregation and Markets - Marseilles, France Duration: 20-Jun-2005 → 21-Jun-2005

Keywords

social interactions
social networks
neighborhood effects
endogenous networking
social intermediation
econometric identification
strong versus weak ties
value of social connections
ECONOMIC NETWORKS
PREFERENCES
EQUILIBRIA
MODEL

Access to Document

10.1016/j.jebo.2006.06.017

Handle.net

Persistent link

Cite this

@article{0a21569c14cc4fbd8e52d98c4b70dc99,

title = "Social networking and individual outcomes beyond the mean field case",

abstract = "We study individually optimized continuous outcomes in a dynamic environment in the presence of social interactions, and where the interaction topology may be either exogenous and time varying, or endogenous. The model accommodates more general social effects than those of the mean-field type. We address endogenous networking by assuming that each individual chooses the weights she attaches to the characteristics and the decisions of other agents. This amounts to choosing the elements of a row of a weighted adjacency matrix. Endogenous social networking thus involves simultaneity between decisions and patterns of directed social interactions. (c) 2007 Elsevier B.V. All rights reserved.",

keywords = "social interactions, social networks, neighborhood effects, endogenous networking, social intermediation, econometric identification, strong versus weak ties, value of social connections, ECONOMIC NETWORKS, PREFERENCES, EQUILIBRIA, MODEL",

author = "Ioannides, {Yannis M.} and Soetevent, {Adriaan R.}",

year = "2007",

doi = "10.1016/j.jebo.2006.06.017",

language = "English",

volume = "64",

pages = "369--390",

journal = "Journal of Economic Behavior & Organization",

issn = "0167-2681",

publisher = "ELSEVIER SCIENCE BV",

number = "3-4",

note = "Workshop on Networks, Aggregation and Markets ; Conference date: 20-06-2005 Through 21-06-2005",

}

TY - JOUR

T1 - Social networking and individual outcomes beyond the mean field case

AU - Ioannides, Yannis M.

AU - Soetevent, Adriaan R.

PY - 2007

Y1 - 2007

N2 - We study individually optimized continuous outcomes in a dynamic environment in the presence of social interactions, and where the interaction topology may be either exogenous and time varying, or endogenous. The model accommodates more general social effects than those of the mean-field type. We address endogenous networking by assuming that each individual chooses the weights she attaches to the characteristics and the decisions of other agents. This amounts to choosing the elements of a row of a weighted adjacency matrix. Endogenous social networking thus involves simultaneity between decisions and patterns of directed social interactions. (c) 2007 Elsevier B.V. All rights reserved.

AB - We study individually optimized continuous outcomes in a dynamic environment in the presence of social interactions, and where the interaction topology may be either exogenous and time varying, or endogenous. The model accommodates more general social effects than those of the mean-field type. We address endogenous networking by assuming that each individual chooses the weights she attaches to the characteristics and the decisions of other agents. This amounts to choosing the elements of a row of a weighted adjacency matrix. Endogenous social networking thus involves simultaneity between decisions and patterns of directed social interactions. (c) 2007 Elsevier B.V. All rights reserved.

KW - social interactions

KW - social networks

KW - neighborhood effects

KW - endogenous networking

KW - social intermediation

KW - econometric identification

KW - strong versus weak ties

KW - value of social connections

KW - ECONOMIC NETWORKS

KW - PREFERENCES

KW - EQUILIBRIA

KW - MODEL

U2 - 10.1016/j.jebo.2006.06.017

DO - 10.1016/j.jebo.2006.06.017

M3 - Article

VL - 64

SP - 369

EP - 390

JO - Journal of Economic Behavior & Organization

JF - Journal of Economic Behavior & Organization

SN - 0167-2681

IS - 3-4

T2 - Workshop on Networks, Aggregation and Markets

Y2 - 20 June 2005 through 21 June 2005

ER -