2010
DOI: 10.2139/ssrn.1660002
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Identification of Social Interactions

Abstract: While interest in social determinants of individual behavior has led to a rich theoretical literature and many efforts to measure these influences, a mature "social econometrics" has yet to emerge. This chapter provides a critical overview of the identification of social interactions. We consider linear and discrete choice models as well as social networks structures. We also consider experimental and quasi-experimental methods. In addition to describing the state of the identification literature, we indicate … Show more

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Cited by 41 publications
(20 citation statements)
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References 155 publications
(141 reference statements)
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“…15 This structural model can be derived from a choice-theoretic approach where each adolescent's fast food consumption is obtained from the maximization of his quadratic utility function which depends on his individual characteristics, his own fast food consumption and his reference group's mean fast food consumption and mean characteristics. This approach also assumes that social interactions have reached a noncooperative (Nash) equilibrium (see Blume et al, 2010). 16 In this case E(α l |G l , x l ) = 0.…”
Section: A Structural Model Of Peer Effects In Fast Food Consumptionmentioning
confidence: 99%
See 1 more Smart Citation
“…15 This structural model can be derived from a choice-theoretic approach where each adolescent's fast food consumption is obtained from the maximization of his quadratic utility function which depends on his individual characteristics, his own fast food consumption and his reference group's mean fast food consumption and mean characteristics. This approach also assumes that social interactions have reached a noncooperative (Nash) equilibrium (see Blume et al, 2010). 16 In this case E(α l |G l , x l ) = 0.…”
Section: A Structural Model Of Peer Effects In Fast Food Consumptionmentioning
confidence: 99%
“…It is well known that the identification of peers effects (first equation) is a challenging task. These identification issues were pointed out by Manski (1993) and discussed among others by Moffit (2001), Brock and Durlauf (2001), and Blume et al (2010). On one hand, (endogenous + contextual) peer effects must be identified from correlated (or confounding) factors.…”
Section: Introductionmentioning
confidence: 99%
“…In other words, individuals may choose their neighborhood effects by selecting their residence or workplace or both. Such choices involve information that is unobservable to the researcher and thus requires inference about possible factors that contribute to their choices (Bandiera and Rasul, 2006;Blume et al, 2011;Brock and Durlauf, 2001;Moffitt, 2001). In our analysis, however, the self-selection problem is assumed to be negligible because we confirmed in interviews that the farmers had not relocated or chosen their community due to the introduction of the irrigation system.…”
Section: Neighborhood Effects and Hypothesesmentioning
confidence: 99%
“…A number of papers have dealt with the identification and estimation of peer effects with network data (see Blume et al, 2011 for an excellent survey). There are two main methodological approaches.…”
Section: Econometric Network Modelsmentioning
confidence: 99%