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Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance

Author

Listed:
  • Silvia Noirjean
  • Marco Mariani
  • Alessandra Mattei
  • Fabrizia Mealli

Abstract

A key element in the education of youths is their sensitization to historical and artistic heritage. We analyze a field experiment conducted in Florence (Italy) to assess how appropriate incentives assigned to high-school classes may induce teens to visit museums in their free time. Non-compliance and spillover effects make the impact evaluation of this clustered encouragement design challenging. We propose to blend principal stratification and causal mediation, by defining sub-populations of units according to their compliance behavior and using the information on their friendship networks as mediator. We formally define principal natural direct and indirect effects and principal controlled direct and spillover effects, and use them to disentangle spillovers from other causal channels. We adopt a Bayesian approach for inference.

Suggested Citation

  • Silvia Noirjean & Marco Mariani & Alessandra Mattei & Fabrizia Mealli, 2020. "Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance," Papers 2011.11023, arXiv.org, revised May 2022.
    • Handle: RePEc:arx:papers:2011.11023
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    References listed on IDEAS

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    7. Laura Forastiere & Patrizia Lattarulo & Marco Mariani & Fabrizia Mealli & Laura Razzolini, 2021. "Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 244-258, January.
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    1. Fiammetta Menchetti & Fabrizio Cipollini & Fabrizia Mealli, 2021. "Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach," Papers 2103.06740, arXiv.org, revised Sep 2021.

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