Tag Archives | Causal Inference

'13 Reasons Why' Probably Increased Emergency Room Visits for Self-Harm among Teenage Girls

Chris Felton

Sociological Science December 11, 2023
10.15195/v10.a33


I present evidence that the release of Netflix’s 13 Reasons Why—a fictional series about the aftermath of a teenage girl’s suicide—caused a temporary spike in emergency room (ER) visits for self-harm among teenage girls in the United States. I conduct an interrupted time series analysis using monthly counts of ER visits obtained from a large, nationally representative survey. I estimate that the show caused an increase of 1,297 self-harm visits (95 percent CI: 634 to 1,965) the month it was released, a 14 percent (6.5 percent, 23 percent) spike relative to the predicted counterfactual. The effect persisted for two months, and ER visits for intentional cutting—the method of suicide portrayed in the series—were unusually high following the show’s release. The findings indicate that fictional portrayals of suicide can influence real-life self-harm behavior, providing support for contagion-based explanations of suicide. Methodologically, the study showcases how to make credible causal claims when effect estimates are likely biased.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Chris Felton: Postdoctoral Fellow, Graduate School of Education, Harvard University. This study was completed while the author was a PhD student in the Department of Sociology and Office of Population Research at Princeton University.
E-mail: christopher_felton@gse.harvard.edu

Acknowledgements: For helpful discussions and feedback relevant to this project, I thank (in reverse-alphabetical order) Brandon Stewart, Varun Satish, Momoko Nishikido, Ian Lundberg, Marielle Côté-Gendreau, Dalton Conley, members of the Stewart Lab, the editor, and the anonymous referees. Replication data and code can be found at https://github.com/cmfelton/13rw. All errors are my own.

  • Citation: Felton, Chris. 2023. “’13 Reasons Why’ Probably Increased Emergency Room Visits for Self-Harm among Teenage Girls.” Sociological Science 10: 930-963.
  • Received: March 15, 2023
  • Accepted: March 31, 2023
  • Editors: Arnout van de Rijt, Peter Bearman
  • DOI: 10.15195/v10.a33


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The Population Level Impacts of Differential Fertility Behavior of Parents of Children with Autism

Kinga Makovi, Alix Winter, Ka-Yuet Liu, Peter Bearman

Sociological Science, August 10, 2015
DOI 10.15195/v2.a19

Drawing on population level data of exceptional quality (including detailed diagnostic information on the autism status of sibling pairs of over 3 million different mothers), this study confirms that stoppage is the average fertility response to a child born with autism, thereby reducing observed concordance in sibling pairs and leading to potentially biased estimation of genetic contributions to autism etiology. Using a counterfactual framework and applying matching techniques we show, however, that this average effect is composed of very different responses to suspicion of autism depending on birth cohort, the character of the disorder (severe versus less severe), the gender of the child, poverty status, and parental education. This study also sheds light on when parents suspect autism. We find that parents’ fertility behavior changes relative to matched controls very early after the birth of a child who will later be diagnosed with autism.
Kinga Makovi: Department of Sociology, Columbia University. Email: kinga.makovi@gmail.com.

Alix Winter: Department of Sociology, Harvard University. E-mail: alixsw@gmail.com.

Ka-Yuet Liu: Department of Sociology, University of California, Los Angeles. E-mail:ka@soc.ucla.edu.

Peter Bearman: INCITE, Columbia University. E-mail: psb17@columbia.edu.

Acknowledgements: We thank Keely Cheslack-Postava, Alexandra Brewer, Christine Fountain, and Soumya Mazumdar and the members of the Bearman-Minkoff group for helpful comments on previous drafts. This research is supported by the NIH Director’s Pioneer Award program, part of the NIH Roadmap for Medical Research, through grant number 1 DP1 OD003635-01.

  • Citation: Makovi, Kinga, Alix Winter, Ka-Yuet Liu and Peter Bearman. 2015. “The Population Level Impacts of Differential Fertility Behavior of Parents of Children with Autism.” Sociological Science 2: 398-419.
  • Received: January 24, 2014.
  • Accepted: March 13, 2015.
  • Editors: Jesper Sørensen, Stephen L. Morgan
  • DOI: 10.15195/v2.a19

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