IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/gep3z_v1.html
   My bibliography  Save this paper

The Great Recession and suicide

Author

Listed:
  • Harper, Sam

    (McGill University)

Abstract

Purpose Research suggests that the Great Recession of 2007–2009 led to nearly 5000 excess suicides in the United States. However, prior work has not accounted for seasonal patterning and unique suicide trends by age and gender. Methods We calculated monthly suicide rates from 1999 to 2013 for men and women aged 15 and above. Suicide rates before the Great Recession were used to predict the rate during and after the Great Recession. Death rates for each age-gender group were modeled using Poisson regression with robust variance, accounting for seasonal and nonlinear suicide trajectories. Results There were 56,658 suicide deaths during the Great Recession. Age- and gender-specific suicide trends before the recession demonstrated clear seasonal and nonlinear trajectories. Our models predicted 57,140 expected suicide deaths, leading to 482 fewer observed than expected suicides (95% confidence interval −2079, 943). Conclusions We found little evidence to suggest that the Great Recession interrupted existing trajectories of suicide rates. Suicide rates were already increasing before the Great Recession for middle-aged men and women. Future studies estimating the impact of recessions on suicide should account for the diverse and unique suicide trajectories of different social groups.

Suggested Citation

  • Harper, Sam, 2017. "The Great Recession and suicide," OSF Preprints gep3z_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:gep3z_v1
    DOI: 10.31219/osf.io/gep3z_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/594447a8594d900229e00fbc/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/gep3z_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gillings, D. & Makuc, D. & Siegel, E., 1981. "Analysis of interrupted time series mortality trends: An example to evaluate regionalized perinatal care," American Journal of Public Health, American Public Health Association, vol. 71(1), pages 38-46.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paraje, Guillermo & Colchero, Arantxa & Wlasiuk, Juan Marcos & Sota, Antonio Martner & Popkin, Barry M., 2021. "The effects of the Chilean food policy package on aggregate employment and real wages," Food Policy, Elsevier, vol. 100(C).
    2. Huseyin Cavusoglu & Tuan Q. Phan & Hasan Cavusoglu & Edoardo M. Airoldi, 2016. "Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook," Information Systems Research, INFORMS, vol. 27(4), pages 848-879, December.
    3. Roya Daneshmand & Shreedhar Acharya & Barbara Zelek & Michael Cotterill & Brianne Wood, 2023. "Changes in Children and Youth’s Mental Health Presentations during COVID-19: A Study of Primary Care Practices in Northern Ontario, Canada," IJERPH, MDPI, vol. 20(16), pages 1-12, August.
    4. Marvin B. Mandell, 1987. "Obtaining Interval Estimates of Policy Impacts From Interrupted Time Series," Evaluation Review, , vol. 11(5), pages 631-659, October.
    5. Andersson, Karolina & Petzold, Max Gustav & Sonesson, Christian & Lonnroth, Knut & Carlsten, Anders, 2006. "Do policy changes in the pharmaceutical reimbursement schedule affect drug expenditures?: Interrupted time series analysis of cost, volume and cost per volume trends in Sweden 1986-2002," Health Policy, Elsevier, vol. 79(2-3), pages 231-243, December.
    6. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," CID Working Papers 364, Center for International Development at Harvard University.
    7. Michael Miller & C. Stokes & Rex Warland, 1988. "The effect of legalization and public funding of abortion on neonatal mortality: An intervention analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 7(1), pages 79-92, January.
    8. Marvin B. Mandell, 1986. "The Effect of Regionalization On Infant and Early Neonatal Mortality," Evaluation Review, , vol. 10(6), pages 806-829, December.
    9. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," NBER Working Papers 26080, National Bureau of Economic Research, Inc.
    10. Attavanich, Witsanu, 2017. "Impact of the First-Time Car Buyer Program on the Environmental Cost of Air Pollution in Bangkok," MPRA Paper 83170, University Library of Munich, Germany.
    11. Marco D. Huesch & Truls Østbye & Michael K. Ong, 2012. "Measuring The Effect Of Policy Interventions At The Population Level: Some Methodological Concerns," Health Economics, John Wiley & Sons, Ltd., vol. 21(10), pages 1234-1249, October.
    12. Harper, Sam, 2017. "The Great Recession and suicide," OSF Preprints gep3z, Center for Open Science.
    13. Jaime Pinilla & Miguel Negrín, 2021. "Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions," Mathematics, MDPI, vol. 9(4), pages 1-12, February.
    14. Tianshi Li & Wenli Li & Yuqing Zhao & Jingpei Ma, 2023. "Rationality manipulation during consumer decision-making process: an analysis of Alibaba’s online shopping carnival," Electronic Commerce Research, Springer, vol. 23(1), pages 331-364, March.
    15. James Veney & James Luckey, 1983. "A comparison of regression and ARIMA models for assessing program effects: An application to the mandated highway speed limit reduction of 1974," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 12(1), pages 83-105, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:gep3z_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.