Skip to main content
Log in

The Effect of Recreational Gambling on Health and Well-Being

  • Original Article
  • Published:
Eastern Economic Journal Aims and scope Submit manuscript

Abstract

The relationship between gambling and health has important economic and public policy implications. We develop causal evidence on this relationship exploiting regional variation in access to legal gambling. Empirical models treat gambling as an endogenous regressor in explaining variation in health outcomes. Results from instrumental variable and bivariate probit models show recreational gambling has no or a negative impact on the probability of having certain chronic health conditions and a positive impact on life satisfaction. Past research generally found a positive association between problem gambling and adverse health outcomes. The generation of some positive health benefits provides important context for the expansion of legal sports betting in the USA following the repeal of the Professional and Amateur Sports Protection Act in 2018.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Afifi, T.O., B.J. Cox, P.J. Martens, J. Sareen, and M.W. Enns. 2010. The relationship between problem gambling and mental and physical health correlates among a nationally representative sample of Canadian women. Canadian Journal of Public Health/Revue Canadienne de Sante’e Publique 101: 171–175.

  • Agarwal, S., V. Mikhed, and B. Scholnick 2016. Does inequality cause financial distress? Evidence from lottery winners and neighboring bankruptcies. Working Papers 16-4, Federal Reserve Bank of Philadelphia.

  • Altonji, J., T. Elder, and C. Taber. 2005. Selection on observed and unobserved variables: Assessing the effectiveness of catholic schools. Journal of Political Economy 113(1): 151–184.

    Article  Google Scholar 

  • Angrist, J., and A. Krueger. 2001. Instrumental variables and the search for identification: From supply and demand to natural experiments. Journal of Economic Perspectives 15: 69–85.

    Article  Google Scholar 

  • Baum, C.F., M.E. Schaffer, S. Stillman, et al. 2007. Enhanced routines for instrumental variables/gmm estimation and testing. Stata Journal 7(4): 465–506.

    Article  Google Scholar 

  • Bhattacharya, J., D. Goldman, and D. McCaffrey. 2006. Estimating probit models with self-selected treatments. Statistics in Medicine 25(3): 389–413.

    Article  Google Scholar 

  • Chang, J.-J., C.-C. Lai, and P. Wang. 2010. Casino regulations and economic welfare. Canadian Journal of Economics/Revue canadienne d’économique 43(3): 1058–1085.

    Article  Google Scholar 

  • Conlisk, J. 1993. The utility of gambling. Journal of Risk and Uncertainty 6(3): 255–275.

    Article  Google Scholar 

  • Eden, B. 1979. An expected utility function for the insurance buying gambler. The Review of Economic Studies 46(4): 741–742.

    Article  Google Scholar 

  • Friedman, J., S. Hakim, and J. Weinblatt. 1989. Casino gambling as a “growth pole” strategy and its effect on crime. Journal of Regional Science 29(4): 615–623.

    Article  Google Scholar 

  • Friedman, M., and L. Savage. 1948. The utility analysis of choices involving risk. Journal of Political Economy 56: 279–304.

    Article  Google Scholar 

  • Garrett, T.A., and M.W. Nichols. 2008. Do casinos export bankruptcy? The Journal of Socio-Economics 37(4): 1481–1494.

    Article  Google Scholar 

  • Grinols, E.L., and D.B. Mustard. 2006. Casinos, crime, and community costs. Review of Economics and Statistics 88(1): 28–45.

    Article  Google Scholar 

  • Jones, A. 2007. Applied Econometrics for Health Economics, 2nd ed. London: Radcliffe Publishing Ltd.

    Book  Google Scholar 

  • Maddala, G. 1983. Limited Dependent and Qualitative Variables in Econometrics, 1st ed. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Morasco, B.J., K.A. vom Eigen, and N.M. Petry. 2006. Severity of gambling is associated with physical and emotional health in urban primary care patients. General Hospital Psychiatry 28(2): 94–100.

    Article  Google Scholar 

  • Nichols, M.W., M.S. Tosun, and J. Yang. 2015. The fiscal impact of legalized casino gambling. Public Finance Review 43(6): 739–761.

    Article  Google Scholar 

  • Nyman, J. 2004. A theory of demand for gambles. Technical report, University of Minnesota. Department of Economics Working Paper No. 322.

  • Nyman, J., B. Dowd, J. Hakes, K. Winters, and S. King. 2012. Work and non-pathological gambling. Journal of Gambling Studies 29: 1–21.

  • Nyman, J., J. Welte, and B. Dowd. 2008. Something for nothing: A model of gambling behavior. The Journal of Socio-Economics 37: 2492–2505.

    Article  Google Scholar 

  • Rassen, J., M. Brookhart, R. Glynn, M. Mittleman, and S. Schneeweiss. 2009. Instrument variables: Instrument variables exploit natural variation in nonexperimental data to estimate casual relationships. Journal of Clinical Epidemiology 62(12): 1226–1232.

    Article  Google Scholar 

  • Shaffer, H.J., and D.A. Korn. 2002. Gambling and related mental disorders: A public health analysis. Annual Review of Public Health 23(1): 171–212.

    Article  Google Scholar 

  • Starmer, C. 2000. Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. Journal of Economic Literature 38(2): 332–382.

    Article  Google Scholar 

  • Truelsen, T., N. Nielsen, G. Boysen, and M. Grønbæk. 2003. Self-reported stress and risk of stroke the copenhagen city heart study. Stroke 34(4): 856–862.

    Article  Google Scholar 

  • Wenz, M. 2008. Matching estimation, casino gambling and the quality of life. The Annals of Regional Science 42(1): 235–249.

    Article  Google Scholar 

  • Wilde, J. 2000. Identification of multiple probit models with endogenous dummy regressors. Economics Letters 69: 309–312.

    Article  Google Scholar 

Download references

Funding

This research was funded by the Alberta Gaming Research Institute, Grant No. 52.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brad R. Humphreys.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1: Results for Recreational Gamblers

See Tables 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 and 24.

Table 6 Marginal effects: single-equation probit for health and well-being
Table 7 Marginal effects: single-equation probit for chronic conditions
Table 8 Coefficients: IV probit 1st stage linear probability model
Table 9 Marginal effects: IV probit, 2nd stage health outcome equation for health and well-being
Table 10 Marginal effects: IV probit, 2nd stage health outcome equation for chronic conditions
Table 11 Coefficients: bivariate probit reduced form gambling equation for health and well-being
Table 12 Coefficients: bivariate probit reduced form gambling equation for chronic conditions
Table 13 Marginal effects: bivariate probit, structural health equation for health and well-being
Table 14 Marginal effects: bivariate probit, structural health equation for chronic conditions

Appendix 2: Results for At Risk Gamblers

Table 15 Marginal effects: at risk gamblers
Table 16 Marginal effects: single-equation probit for health and well-being
Table 17 Marginal effects: single-equation probit for chronic conditions
Table 18 Coefficients: IV probit 1st stage linear probability model
Table 19 Marginal effects: IV probit, 2nd stage health outcome equation for health and well-being
Table 20 Marginal effects: IV probit, 2nd stage health outcome equation for chronic conditions
Table 21 Coefficients: bivariate probit reduced form gambling equation for health and well-being
Table 22 Coefficients: bivariate probit reduced form gambling equation for chronic conditions
Table 23 Marginal effects: bivariate probit, structural health equation for health and well-being
Table 24 Marginal effects: bivariate probit, structural health equation for chronic conditions

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Humphreys, B.R., Nyman, J.A. & Ruseski, J.E. The Effect of Recreational Gambling on Health and Well-Being. Eastern Econ J 47, 29–75 (2021). https://doi.org/10.1057/s41302-020-00181-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/s41302-020-00181-5

Keywords

JEL Classification

Navigation