Identification of Social Interactions

By L. Blume, William A. Brock, Steven N. Durlauf, Yannis M. Ioannides. 2011

406 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Safety Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d2c8b8757b451083a777045380ee5864a9c62aef

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In Management Science and Operations Research

In Safety Research

In Statistical and Nonlinear Physics

Citations in the corpus

Random Coefficients on Endogenous Variables in Simultaneous Equations Models (2014, background): “See Blume et al. (2011) for a survey and many further references.”
Econometrics of Network Formation (2016, methodology): “This strategy has been used widely, for instance by Bolthausen (1982), to prove central limit theorems for strongly mixing random fields, as well as by Baldi and Rinott (1989) to look at data that can be described by dependency graphs.”
Job Referral Networks and the Determination of Earnings in Local Labor Markets (2014, neutral): “This exclusion breaks the reflection problem formally, but the data matrix can still be badlyconditioned (Conley and Udry 2010; Blume et al. 2011).”
JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses (2020, neutral): “For local interaction models in economics see Blume et al. (2011), Glaeser and Scheinkman (2001), Conley and Topa (2007), Özgür et al.”
Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity (2018, background): “In the proof of Theorem 2 of Kuersteiner and Prucha (2013) it is shown that the following conditions are sufficient for conditions (14)-(16) there, postulated by the MD-CLT, to hold:”
Executive Networks and Firm Policies: Evidence from the Random Assignment of MBA Peers (2013, neutral): “21As discussed in Blume et al. (2010), both (a) the relationship between ex-ante and ex-post outcomes and (b) trepreneurial entry decisions shortly after graduation while this paper explores how peers aect executive decision-making and firm policies in the long term (several decades after…”
Criminal Networks: Who is the Key Player? (2012, background): “The econometric model corresponding to the best-reply function (5) of agent  in network  can be written as  =  P =1  + x 0 β1 + 1 ̄ P =1 x 0 β2 +  +  (11)”
Grouped Patterns of Heterogeneity in Panel Data (2015, background): “As this holds for all δ > 0 we obtain (18).”
R&D Networks: Theory, Empirics, and Policy Implications (2019, background): “Econometrics of Networks There has recently been a significant progress in the literature on identification and estimation of social network models (see Blume et al. [2011], for a recent survey).”
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies (2010, background): “(See Blume et al. 2010 for a recent review of the group-effects literature.) However, this does not quite answer our questions, since Manski (1993) considered influence from the group average, rather than from individual members of the network neighborhood, and one could hope this would provide enou”
Young Adults Living with Their Parents and the Influence of Peers (2018, background): “Identifying peer effects is a challenging task (See Blume et al. (2011) andAngrist (2014) for a detailed discussion).”
Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network (2017, methodology): “Additionally, the use of a non-linear model mitigates the reflection issue (Blume et al., 2011).”
Crises and Collective Socio-Economic Phenomena: Simple Models and Challenges (2012, background): “We also refer the reader to [95] for a review on “econometric” approaches to social phenomena.”
Heterogeneous peer effects in education (2014, positive): “Given the complexity of this framework, it is convenient to simultaneously estimate the parameters of equations (6), (7) and (8) with a Bayesian approach.”