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Online gambling participation and problem gambling severity: is there a causal relationship?

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  • Kahlil S. Philander
  • Terri-Lynn MacKay

Abstract

Studies of Internet gambling have consistently shown that online gamblers are more likely to report disordered gambling behaviour than offline gamblers. However, little research has focused on whether this is a causal relationship or whether this risk factor is capturing a relationship with one or more missing variables. To address whether there is a strong causal argument for the effect of online gambling participation on problem gambling severity, we use a secondary data method that corrects for potential omitted variable bias. Once this issue is addressed, we find that past-year participation in online gambling is related to a decrease in problem gambling severity, which is the opposite of the popular view in current literature. The estimates in this study are found to be robust to various forms of online gambling, control variables and problem gambling measurement instruments. The findings were also consistent when using a representative sample from the United Kingdom and when using an online research panel from Ontario, Canada. As a primary force against the widespread adoption of Internet gambling has been public health concern over problem gambling, this study provides evidence that such decisions should be more closely considered by policymakers.

Suggested Citation

  • Kahlil S. Philander & Terri-Lynn MacKay, 2014. "Online gambling participation and problem gambling severity: is there a causal relationship?," International Gambling Studies, Taylor & Francis Journals, vol. 14(2), pages 214-227, August.
  • Handle: RePEc:taf:intgms:v:14:y:2014:i:2:p:214-227
    DOI: 10.1080/14459795.2014.893585
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    References listed on IDEAS

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    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
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    Cited by:

    1. Jirka Konietzny, 2017. "No risk, no fun: implications for positioning of online casinos," International Gambling Studies, Taylor & Francis Journals, vol. 17(1), pages 144-159, January.
    2. Leonardo Becchetti & Davide Bellucci & Fiammetta Rossetti, 2018. "Gamblers, scratchers and their financial education," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 127-162, April.
    3. Bernadeta Lelonek-Kuleta & Rafał P. Bartczuk & Michał Wiechetek & Joanna Chwaszcz & Iwona Niewiadomska, 2020. "The Prevalence of E-Gambling and of Problem E-Gambling in Poland," IJERPH, MDPI, vol. 17(2), pages 1-15, January.
    4. Stéphanie Baggio & Sally M. Gainsbury & André Berchtold & Katia Iglesias, 2016. "Co-morbidity of gambling and Internet use among Internet and land-based gamblers: classic and network approaches," International Gambling Studies, Taylor & Francis Journals, vol. 16(3), pages 500-517, September.
    5. Tobias Effertz & Anja Bischof & Hans-Jürgen Rumpf & Christian Meyer & Ulrich John, 2018. "The effect of online gambling on gambling problems and resulting economic health costs in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(7), pages 967-978, September.
    6. Maris Catania & Mark D. Griffiths, 2021. "Understanding Online Voluntary Self-Exclusion in Gambling: An Empirical Study Using Account-Based Behavioral Tracking Data," IJERPH, MDPI, vol. 18(4), pages 1-11, February.

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