Estimation of a local-aggregate network model with sampled networks
This 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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- 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.
- Manski, C.F., 1991. "Identification of Endogenous Social Effects: the Reflection Problem," Working papers 9127, Wisconsin Madison - Social Systems.
- Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2012.
"The Diffusion of Microfinance,"
NBER Working Papers
17743, National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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).
- Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2007. "Identification of Peer Effects through Social Networks," Cahiers de recherche 0705, CIRPEE.
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