Estimation of a local-aggregate network model with sampled networks
AbstractThis work considers the estimation of a network model with sampled networks. Chandrasekhar and Lewis (2011) show that the estimation with sampled networks could be biased due to measurement error induced by sampling and propose a bias correction by restricting the estimation to sampled nodes to avoid measurement error in the regressors. However, measurement error may still exist in the instruments and thus induce the weak instrument problem when the sampling rate is low. For a local-aggregate model, we show that the instrument based on the outdegrees of sampled nodes is free of measurement error and thus remains informative even if the sampling rate is low. Simulation studies suggest that the 2SLS estimator with the proposed instrument works well when the sampling rate is low and the other instruments are weak.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 118 (2013)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/ecolet
Social networks; Local-average models; Local-aggregate models; Sampling of networks; Weak instruments;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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- Manski, C.F., 1991.
"Identification of Endogenous Social Effects: the Reflection Problem,"
9127, Wisconsin Madison - Social Systems.
- Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
- Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009.
"Identification of peer effects through social networks,"
Journal of Econometrics,
Elsevier, vol. 150(1), pages 41-55, May.
- Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2007. "Identification of Peer Effects through Social Networks," Cahiers de recherche 0705, CIRPEE.
- Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2007. "Identification of Peer Effects through Social Networks," IZA Discussion Papers 2652, Institute for the Study of Labor (IZA).
- Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
- Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014.
"R&D Networks: Theory, Empirics and Policy Implications,"
13-027, Stanford Institute for Economic Policy Research.
- König, Michael & Liu, Xiaodong & Zenou, Yves, 2014. "R&D Networks: Theory, Empirics and Policy Implications," CEPR Discussion Papers 9872, C.E.P.R. Discussion Papers.
- Michael D. König & Xiaodong Liu & Yves Zenou, 2014. "R&D networks: theory, empirics and policy implications," ECON - Working Papers 142, Department of Economics - University of Zurich.
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