Exclusion Bias and the Estimation of Peer Effects

References

1. 1. Angrist, J.D.

   (2014). “The Perils of Peer Effects”, Labour Economics, 30: 98–108

   OpenUrlCrossRef
2. 1. Anselin, Luc

   (1988). Spatial Econometrics: Methods and Models, Springer Studies in Operational Regional Science (Volume 4)
3. 1. Anselin, L. and
   2. Bera, A.K.

   (1998). “Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics”, in Handbook of Applied Economic Statistics, A. ullah and D.E.A. Giles (eds), Marcel Dekker, NY, pp. 237–289.
4. 1. Athey, S.,
   2. D. Eckles and
   3. G. W. Imbens

   (2018). “Exact P-values for Network Interference”, Journal of the American Statistical Association, 113(521):230–40

   OpenUrlCrossRef
5. 1. Bandiera, O.,
   2. I. Barankay and
   3. I. Rasul

   (2009). “Social Connections and Incentives in the Workplace: Evidence from Personnel Data”, Econometrica, 77(4): 1047–94.

   OpenUrlCrossRefWeb of Science
6. 1. Banerjee, Abhijit,
   2. Arun Chandrasekhar,
   3. Esther Duflo, and
   4. Matthew O. Jackson

   (2013). “The diffusion of microfinance”, Science, 341(6144): 1236498 doi:10.1126/science.1236498

   OpenUrlAbstract/FREE Full Text
7. 1. Bramoullé, Y.,
   2. H. Djebbari, and
   3. B. Fortin

   (2009). “Identification of Peer Effects through Social Networks”, Journal of Econometrics, 150(1): 41–55.

   OpenUrlCrossRefWeb of Science
8. 1. Cai, J. and
   2. A. Szeidl

   (2018). “Interfirm Relationships and Business Performance”, Quarterly Journal of Economics, 133(3):1229–82. August

   OpenUrlCrossRef
9. 1. Cameron, A. Colin,
   2. Jonah B. Gelbach, and
   3. Douglas L. Miller

   (2008). “Bootstrap-Based Improvements for Inference with Clustered Errors,” Review of Economics and Statistics, 90(3):414–27.

   OpenUrlCrossRefWeb of Science
10. 1. Carrell, S.,
    2. B. Sacerdote and
    3. J. West

    (2013). “From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation,” Econometrica. 81(3): 855–82.

    OpenUrlCrossRefWeb of Science
11. 1. Carrell, S.,
    2. M. Hoekstra and
    3. J. West

    (2019). “The Impact of College Diversity on Behavior Toward Minorities,” American Economic Journal: Economic Policy, 11(4): 159–82. November

    OpenUrlCrossRef
12. 1. Corno, Lucia,
    2. Eliana La Ferrara, and
    3. Justine Burns

    (2022). “Interaction, Stereotypes, and Performance: Evidence from South Africa”, American Economic Review,, 112(12): 3848–75, December

    OpenUrlCrossRef
13. 1. Davezies, Laurent,
    2. Xavier D’Haultfoeuille, and
    3. Denis Fougere

    (2009). “Identification of peer effects using group size variation”, Econometrics Journal, 12: 397–413.

    OpenUrlCrossRefWeb of Science
14. 1. De Giorgi, G.,
    2. M. Pellizzari and
    3. S. Redaelli

    (2010). “Identification of Social Interactions through Partially Overlapping Peer Groups”, American Economic Journal: Applied Economics, 2(2): 241–75.

    OpenUrlCrossRef
15. 1. Drukker, David M.,
    2. Ingmar R. Prucha, and
    3. Rafal Raciborski

    (2013). “Maximum likelihood and generalized spatial two-state least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances”, The Stata Journal, 13(2): 221–41

    OpenUrlCrossRef
16. 1. Duflo, E. and
    2. E. Saez

    (2011). “Participation and Investment Decisions in a Retirement Plan: The Influence of Colleagues’ Choices”, Journal of Public Economics, 85(1): 121–48.

    OpenUrl
17. 1. Fafchamps, M and
    2. D. Mo

    (2018). “Peer effects in computer assisted learning: evidence from a randomized experiment”, Experimental Economics, 21(2): 355–382.

    OpenUrlCrossRef
18. 1. Fafchamps, M and
    2. S. Quinn

    (2018). “Networks and Manufacturing Firms in Africa: Results from a Randomized Field Experiment”, World Bank Economic Review, 32(3):656–75

    OpenUrl
19. 1. Fisher, R.A.

    (1925). “Theory of Statistical Estimation”, Proceedings of the Cambridge Philosophical Society, 22: 700–25.

    OpenUrlCrossRef
20. 1. Glaeser, E. L.,
    2. B. I. Sacerdote, and
    3. J. A. Scheinkman

    (2003). “The Social Multiplier”, Journal of the European Economic Association, 1(2-3): 345–53.

    OpenUrlCrossRefWeb of Science
21. 1. Graham, Bryan S.

    (2008). “Identifying Social Interactions Through Conditional Variance Restrictions”, Econometrica, 76(3): 643–60

    OpenUrlCrossRefWeb of Science
22. 1. Guryan, J.,
    2. D. Kroft, and
    3. N. J. Notowidigdo

    (2009). “Peer Effects in the Workplace: Evidence from Random Groupings in Professional Golf Tournaments”, American Economic Journal: Applied Economics, 44(3): 289–302.

    OpenUrl
23. 1. Kelejian, H. H. and
    2. I. R. Prucha

    (1998): “A generalized spatial twostage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances,” The Journal of Real Estate Finance and Economics, 17,:99–121.

    OpenUrlCrossRefWeb of Science
24. 1. Kelejian, H, H. and
    2. I. R. Prucha

    (1999). “A generalized moments estimator for the autoregressive parameter in a spatial model”, International Economic Review, 40: 509–533.

    OpenUrlCrossRefWeb of Science
25. 1. Krackhardt, D.

    (1988). “Predicting with Networks: Nonparametric Multiple Regression Analysis of Dyadic Data”, Social Networks, 10: 359–81.

    OpenUrlCrossRefWeb of Science
26. 1. Lee, L. F.

    (2007). “Identification and estimation of econometric models with group interactions, contextual factors and fixed effects”, Journal of Econometrics, 140(2): 333–74.

    OpenUrlCrossRefWeb of Science
27. 1. Legros, Patrick and
    2. Andrew F. Newman

    (2007). “Beauty Is a Beast, Frog Is a Prince: Assortative Matching with Nontransferabilities”, Econometrica, 75(4): 1073–102

    OpenUrlCrossRefWeb of Science
28. 1. Lee, Lung-Fei,
    2. Xiaodong Liu,
    3. Eleonora Patacchini, and
    4. Yves Zenou

    (2021). “Who is the Key Player? A Network Analysis of Juvenile Delinquency”, Journal of Business and Economic Statistics, 39(3): 849–57

    OpenUrlCrossRef
29. 1. Liu, X.

    (2017). “Identification of Peer Effects via a Root Estimator”, Economic Letters, 156: 168–71.

    OpenUrlCrossRef
30. 1. Manski, C.

    (1993). “Identification of Endogenous Social Effects: The Reflection Problem”, Review of Economic Studies, 60(3): 531–42.

    OpenUrlCrossRefWeb of Science
31. 1. Moffitt, R. A.

    (2001). “Policy Interventions, Low Level Equilibria, and Social Interactions”, Social Dynamics, 45–82, MIT Press, Cambridge, MA.
32. 1. Nickell, S.

    (1981). “Biases in Dynamic Models with Fixed E ects”, Econometrica, 49: 1417–26.

    OpenUrlCrossRefWeb of Science
33. 1. Raudenbush, S. W. and
    2. A. S. Bryk

    (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, Sage Publications.
34. 1. Rose, Christiern D.

    (2017). “Identification of peer effects through social networks using variance restrictions”, Econometrics Journal, 20(3): S47–S60.

    OpenUrlCrossRef
35. 1. Sacerdote, B.

    (2001). “Peer Effects with Random Assignment: Results for Dartmouth Roommates”, Quarterly Journal of Economics, 116(92): 681–704.

    OpenUrlCrossRefWeb of Science
36. 1. Stevenson, M.

    (2015). “Tests of Random Assignment to Peers in the Face of Mechanical Negative Correlation: An Evaluation of Four Techniques”, University of Pennsylvania, Mimeo,
37. 1. Stevenson, M.

    (2017). “Breaking Bad: Mechanisms of Social Influence and the Path to Criminality in Juvenile Jails”, Review of Economics and Statistics, 99(5): 824–838.

    OpenUrlCrossRef
38. 1. Stuart, A. and
    2. Ord, K.

    (1998). Kendall’s Advanced Theory of Statistics, Arnold, London, 1998, 6th Edition, Volume 1, p. 351.

    OpenUrl
39. 1. Wang, L.C.

    (2009). “Peer Effects in the Classroom: Evidence from a Natural Experiment in Malaysia”, Department of Economics, UC San Diego, Mimeo.
40. 1. Zimmerman, D.

    (2003). “Peer Effects in Academic Outcomes: Evidence from a Natural Experiment”, The Review of Economics and Statistics, 85(1): 9–23.

    OpenUrlCrossRefWeb of Science