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Actual versus ‘natural’ rates of suicide: Evidence from the USA

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  • Collins, Alan
  • Fan, Jingwen
  • Mahabir, Aruneema

Abstract

This paper employs a high dimensional variable selection technique to select a subset of suicide determinants from 167 potential factors, which are then used to estimate ‘natural’ suicide rates for US states by least squares dummy variables. Over the period 2005–2017, all states are found to have a non-zero and positive natural suicide rate, below their respective actual average rate. Higher actual rates suggest deterioration in socioeconomic conditions, inaccessible and unaffordable mental health care for certain sections of the population and inadequate implementation of measures to identify and reduce suicidal mortality. Evidence-informed policies aiming for zero suicide target could draw inspiration from exemplar states to direct resources towards states with greater relative differences between actual average and natural suicide rates.

Suggested Citation

  • Collins, Alan & Fan, Jingwen & Mahabir, Aruneema, 2022. "Actual versus ‘natural’ rates of suicide: Evidence from the USA," Economic Modelling, Elsevier, vol. 106(C).
    • Handle: RePEc:eee:ecmode:v:106:y:2022:i:c:s0264999321002947
    DOI: 10.1016/j.econmod.2021.105705
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    1. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2020. "lassopack: Model selection and prediction with regularized regression in Stata," Stata Journal, StataCorp LP, vol. 20(1), pages 176-235, March.
    2. Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur, 2016. "Inference in High-Dimensional Panel Models With an Application to Gun Control," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 590-605, October.
    3. Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2018. "On the determinants of bitcoin returns: A LASSO approach," Finance Research Letters, Elsevier, vol. 27(C), pages 235-240.
    4. Joe Chen & Yun Jeong Choi & Kohta Mori & Yasuyuki Sawada & Saki Sugano, 2012. "Socio‐Economic Studies On Suicide: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(2), pages 271-306, April.
    5. Platt, Stephen, 1984. "Unemployment and suicidal behaviour: A review of the literature," Social Science & Medicine, Elsevier, vol. 19(2), pages 93-115, January.
    6. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    7. Fan, Jianqing & Ke, Yuan & Wang, Kaizheng, 2020. "Factor-adjusted regularized model selection," Journal of Econometrics, Elsevier, vol. 216(1), pages 71-85.
    8. Bijou Yang & David Lester, 2009. "Is there a natural suicide rate?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 137-140.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    10. Miao, Jianjun & Wang, Neng, 2011. "Risk, uncertainty, and option exercise," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 442-461, April.
    11. Hamermesh, Daniel S & Soss, Neal M, 1974. "An Economic Theory of Suicide," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 83-98, Jan.-Feb..
    12. Andrés, Antonio Rodríguez & Halicioglu, Ferda, 2011. "Testing the hypothesis of the natural suicide rates: Further evidence from OECD data," Economic Modelling, Elsevier, vol. 28(1), pages 22-26.
    13. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    14. Hoff, Arild & Gribkovskaia, Irina & Laporte, Gilbert & Løkketangen, Arne, 2009. "Lasso solution strategies for the vehicle routing problem with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 192(3), pages 755-766, February.
    15. Cui, Hailong & Rajagopalan, Sampath & Ward, Amy R., 2020. "Predicting product return volume using machine learning methods," European Journal of Operational Research, Elsevier, vol. 281(3), pages 612-627.
    16. Vandoros, Sotiris & Avendano, Mauricio & Kawachi, Ichiro, 2019. "The association between economic uncertainty and suicide in the short-run," Social Science & Medicine, Elsevier, vol. 220(C), pages 403-410.
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    Cited by:

    1. Mitch Kunce, 2022. "A 'Natural' Suicide Rate, Hysteresis or Suicide Persistence? Evidence from U.S. State-Level Panel Data, 1980-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(2), pages 1-2.

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    More about this item

    Keywords

    Zero suicide policy; High dimensional panel data; Natural rate of suicide; USA;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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