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Treatment Effect Accounting for Network Changes

Author

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  • Margherita Comola

    (RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay)

  • Silvia Prina

Abstract

Networks may rewire in response to interventions. We propose a measure of the treatment effect when an intervention affects the structure of a social network. We develop a treatment-response model that incorporates dynamic peer effects and provide its identification conditions and the associated instrumental-variable strategy. We illustrate our estimation procedure using a panel data set containing information on a financial network before and after a field experiment that randomized access to savings accounts. Results show that neglecting the network change results in underestimation of the impact of the intervention and the role played by informal networks through which the intervention diffuses.

Suggested Citation

  • Margherita Comola & Silvia Prina, 2021. "Treatment Effect Accounting for Network Changes," Post-Print hal-04233235, HAL.
    • Handle: RePEc:hal:journl:hal-04233235
    DOI: 10.1162/rest_a_00908
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    Cited by:

    1. Heitzig, Chris & O’Keeffe-O’Donovan, Rossa, 2024. "Spillover Effects and Diffusion of Savings Groups," World Development, Elsevier, vol. 173(C).
    2. Song, Suyong & Wang, Jiawei (Brooke), 2024. "Boardroom networks and corporate investment," Journal of Corporate Finance, Elsevier, vol. 84(C).

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