• Medientyp: E-Book; Bericht
  • Titel: Empirical methods for networks data: Social effects, network formation and measurement error
  • Beteiligte: Advani, Arun [VerfasserIn]; Malde, Bansi [VerfasserIn]
  • Erschienen: London: Institute for Fiscal Studies (IFS), 2014
  • Sprache: Englisch
  • DOI: https://doi.org/10.1920/wp.ifs.2014.1434
  • Schlagwörter: C81 ; Z13 ; Networks ; Endogeneity ; C31 ; Sampling Design ; Social Effects ; Econometrics ; Measurement Error ; Peer Effects
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  • Beschreibung: 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.
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