Arbeitspapier
Empirical methods for networks data: Social effects, network formation and measurement error
In many contexts we may be interested in understanding whether direct connections between agents, such as declared friendships in a classroom or family links in a rural village, affect their outcomes. In this paper we review the literature studying econometric methods for the analysis of social networks. We begin by providing a common framework for models of social effects, a class that includes the 'linear-in-means' local average model, the local aggregate model, and models where network statistics affect outcomes. We discuss identification of these models using both observational and experimental/quasi-experimental data. We then discuss models of network formation, drawing on a range of literatures to cover purely predictive models, reduced form models, and structural models, including those with a strategic element. Finally we discuss how one might collect data on networks, and the measurement error issues caused by sampling of networks, as well as measurement error more broadly.
- Sprache
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Englisch
- Erschienen in
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Series: IFS Working Papers ; No. W14/34
- Klassifikation
-
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
- Thema
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Networks
Social Effects
Peer Effects
Econometrics
Endogeneity
Measurement Error
Sampling Design
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Advani, Arun
Malde, Bansi
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute for Fiscal Studies (IFS)
- (wo)
-
London
- (wann)
-
2014
- DOI
-
doi:10.1920/wp.ifs.2014.1434
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Advani, Arun
- Malde, Bansi
- Institute for Fiscal Studies (IFS)
Entstanden
- 2014