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A study on the socio-economic determinants of suicide: Evidence from 13 European OECD countries

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  • Okada, Keisuke
  • Samreth, Sovannroeun

Abstract

This paper examines the factors affecting suicide in 13 European OECD countries from a socio-economic perspective. We use the autoregressive distributed lag approach to cointegration as the estimation methodology. Our results reveal that an increasing impact of divorce rates and a decreasing effect of per capita real GDP on suicide are confirmed in 9 countries. However, the evidence on the effects of fertility rates and per capita alcohol consumption are relatively less. For fertility rates, the results reveal that its increase leads to a decrease in suicide rates in four countries and a rise in suicide rates in one country. As for per capita alcohol consumption, the evidence supporting its significantly increasing effects on suicide rates is only confirmed in three countries. In addition, the tests of the cumulative sum and the cumulative sum of squares of the recursive residuals provide evidence indicating the stability of the estimated model.

Suggested Citation

  • Okada, Keisuke & Samreth, Sovannroeun, 2011. "A study on the socio-economic determinants of suicide: Evidence from 13 European OECD countries," MPRA Paper 29075, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:29075
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Explaining suicide (OECD)
      by UDADISI in UDADISI on 2013-06-02 22:53:00

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    Cited by:

    1. Yamamura, Eiji, 2015. "Comparison of Social Trust's effect on suicide ideation between urban and non-urban areas: The Case of Japanese Adults in 2006," Social Science & Medicine, Elsevier, vol. 140(C), pages 118-126.
    2. Eiji Yamamura, 2015. "Comparison of Social Capital's Effect on Consideration of Suicide between Urban and Rural Areas," ISER Discussion Paper 0933, Institute of Social and Economic Research, Osaka University.
    3. Antonakakis, Nikolaos & Collins, Alan, 2018. "A suicidal Kuznets curve?," Economics Letters, Elsevier, vol. 166(C), pages 90-93.
    4. Evan Lau & Siti Nur Zahara Hamzah & Sandra Chia Chia Tan & Biagio Simonetti, 2017. "Suicide and socioeconomic determinants in Canada: beyond morality and philosophy," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1843-1858, July.
    5. Mitch Kunce, 2022. "The Tenuous Ecological Divorce and Unemployment Link with Suicide: A U.S. Panel Analysis 1968-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(3), pages 1-2.
    6. Lobo, Gustavo D. & De Souza Almeida, Felipe M. & Danelon, André F. & Rocha, Adauto B. & Almeida, Alexandre N., 2020. "Could the agrochemical poisoning increase suicide attempts in the Brazilian rural areas? An econometric approach using spatial analysis methods," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304593, Agricultural and Applied Economics Association.
    7. Sovannroeun Samreth, 2015. "An Estimation of the Money Demand Function in Cambodia," Economics Bulletin, AccessEcon, vol. 35(4), pages 2625-2636.
    8. Botha, Ferdi & Nguyen, Viet H., 2022. "Opposite nonlinear effects of unemployment and sentiment on male and female suicide rates: Evidence from Australia," Social Science & Medicine, Elsevier, vol. 292(C).
    9. Nikolaos Antonakakis & Rangan Gupta, 2017. "Is Economic Policy Uncertainty Related to Suicide Rates? Evidence from the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 543-560, September.

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    More about this item

    Keywords

    Suicide; European OECD Countries; Socio-economic Factors;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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