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Dealing with Endogenous Shocks in Dynamic Friendship Network

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  • Marchenko, Maria

Abstract

Different types of shocks, or the treatment of one of the players in a specific network, may influence not only the future performance of themselves but also affect their network connections. It is crucial to explore the behaviour of the whole network in response to such an event. This paper focuses on the cases of endogenously formed shock. The logic used in the peer effect literature is adopted to develop the dynamic model and accounts for the endogeneity of the shock. The model allows us to predict the endogenous part of the shock and use the remaining unexpected component to estimate the effect of the shock on the changes in the performance of network connections. The identification conditions for effect are derived, and the consistent estimation procedure is proposed.

Suggested Citation

  • Marchenko, Maria, 2019. "Dealing with Endogenous Shocks in Dynamic Friendship Network," Department of Economics Working Paper Series 291, WU Vienna University of Economics and Business.
    • Handle: RePEc:wiw:wus005:7099
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    References listed on IDEAS

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    1. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
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    6. Maria Marchenko, 2019. "Endogenous Shocks in Social Networks: Exam Failures and Friends' Future Performance," Department of Economics Working Papers wuwp292, Vienna University of Economics and Business, Department of Economics.
    7. Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
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    2. Marchenko, Maria, 2019. "Endogenous Shocks in Social Networks: Exam Failures and Friends' Future Performance," Department of Economics Working Paper Series 292, WU Vienna University of Economics and Business.

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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