IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v106y2022ics0264999321002947.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999321002947
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2021.105705?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Anyikwa, Izunna & Hamman, Nicolene & Phiri, Andrew, 2018. "Persistence of suicides in G20 countries: SPSM approach to three generations of unit root tests," MPRA Paper 87790, University Library of Munich, Germany.
    2. Luv Sharma & Aravind Chandrasekaran & Elliot Bendoly, 2020. "Does the Office of Patient Experience Matter in Improving Delivery of Care?," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 833-855, April.
    3. Joe Chen & Shih-Chang Huang, 2020. "Suicide, Aging, and Permanent Income: A Social Norms Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 867-885, August.
    4. Balázs Szentes & Caroline D. Thomas, 2013. "An Evolutionary Theory of Suicide," Games, MDPI, vol. 4(3), pages 1-11, August.
    5. Hansen, Christian & Liao, Yuan, 2019. "The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications," Econometric Theory, Cambridge University Press, vol. 35(3), pages 465-509, June.
    6. Santos, Luca J. & Oliveira, Alessandro V.M. & Aldrighi, Dante Mendes, 2021. "Testing the differentiated impact of the COVID-19 pandemic on air travel demand considering social inclusion," Journal of Air Transport Management, Elsevier, vol. 94(C).
    7. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
    8. Damian Kozbur, 2020. "Analysis of Testing‐Based Forward Model Selection," Econometrica, Econometric Society, vol. 88(5), pages 2147-2173, September.
    9. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    10. Damian Kozbur, 2017. "Testing-Based Forward Model Selection," American Economic Review, American Economic Association, vol. 107(5), pages 266-269, May.
    11. 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.
    12. Marko Korhonen & Mikko Puhakka & Matti Viren, 2017. "Economic hardship and suicides," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(10), pages 1348-1360, October.
    13. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    14. 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.
    15. Nadia Campaniello & Theodoros M. Diasakos & Giovanni Mastrobuoni, 2017. "Rationalizable Suicides: Evidence from Changes in Inmates’ Expected Length of Sentence," Journal of the European Economic Association, European Economic Association, vol. 15(2), pages 388-428.
    16. Alessandro V. M. Oliveira & Thiago Caliari & Rodolfo R. Narcizo, 2024. "An empirical model of fleet modernization: on the relationship between market concentration and innovation adoption in the Brazilian airline industry," Papers 2401.06876, arXiv.org.
    17. Ross, Justin M. & Yakovlev, Pavel A. & Carson, Fatima, 2012. "Does state spending on mental health lower suicide rates?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(4), pages 408-417.
    18. Okada, Keisuke & Samreth, Sovannroeun, 2013. "A study on the socio-economic determinants of suicide: Evidence from 13 European OECD countries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 78-85.
    19. Nadia Campaniello & Theodoros Diasakos & Giovanni Mastrobuoni, 2012. "Rational Suicides: Evidence from Changes in Inmates' Expected Sentence Length," Carlo Alberto Notebooks 247, Collegio Carlo Alberto.
    20. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.

    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

    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:eee:ecmode:v:106:y:2022:i:c:s0264999321002947. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.