Modeling Consumers' Participation in Gambling Markets and Frequency of Gambling

Humphreys, Brad R.; Lee, Yang Seung; Soebbing, Brian P.

doi:10.5750/jgbe.v5i1.562

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…This is not unexpected at all, but actually consistent with existing research. 13,15 When addressing interdependencies and time preferences for smoking, drinking, and gambling, research founds that the more education, the less time preference for gambling and therefore likelihood of addiction. 8 In fact, it is concluded that “governments might consider education as an effective countermeasure for stopping addictions.” 8…”

Section: Resultsmentioning

confidence: 99%

“…These are common covariates in gambling research, as gambling patterns and behavior are strongly determined by socio-demographic and health conditions. 9,13,16,17,18 Individuals who failed to respond to our key variables were removed from the sample, as were observations with encoding errors. All in all, 199 individuals were dismissed (2.92% of the sample), so 6617 remained.…”

Section: Data and Variablesmentioning

confidence: 99%

“…These are common covariates in gambling research, as gambling patterns and behavior are strongly determined by socio-demographic and health conditions. 9,13,16,17,18…”

Section: Data and Variablesmentioning

confidence: 99%

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Gambling and Substance Use: A Cross-Consumption Analysis of Tobacco Smoking, Alcohol Drinking and Gambling

Díaz

Pérez

2021

Substance Abuse

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Background Gambling has never been as popular and widely available as it is today. Despite the widespread normalization of gambling as just another form of leisure consumption, its potential interaction with substance use (e.g. smoking and drinking) is nowadays an issue of social concern. In fact, empirical research has found both substances to have strong interdependencies with gambling through multiple factors. Methods Gambling is a two-step decision: potential gamblers first decide whether to participate, then their expenditure. Using data from the Spanish gambling prevalence survey, a double-hurdle model is proposed to estimate the effect of tobacco smoking and alcohol drinking on gambling participation and expenditure decisions utilizing binary consumption and frequency of consumption approaches. Results In line with previous research, results showed that people who smoked tobacco and/or drank alcohol were more likely to gamble and to have a greater expenditure. Each additional level of frequency of consumption of both products was found to likely increase the prevalence of gambling. Conclusions The frequency of consumption of tobacco and/or alcohol was positively associated with the likelihood of gambling and spending more on gambling products. Findings may assist gambling stakeholders to prevent potential gambling-related harm.

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Section: Resultsmentioning

confidence: 99%

Section: Data and Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Gambling and Substance Use: A Cross-Consumption Analysis of Tobacco Smoking, Alcohol Drinking and Gambling

Díaz

Pérez

2021

Substance Abuse

View full text Add to dashboard Cite

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“…In contrast to Wicker and Soebbing (2012), this study found an inverted u-shaped link between age and the probability that a respondent had already participated in sports betting. Because some earlier researchers (Humphreys et al, 2011) report evidence of a nonlinear age effect this study analysed the age effect with splines in more detail and could confirm the presence of a nonlinear effect.…”

Section: Summary and Concluding Remarksmentioning

confidence: 99%

Who bets on sports? Some further empirical evidence using German data

Gassmann

Emrich

Pierdzioch

2015

International Review for the Sociology of Sport

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Given the rapid expansion of the German sports-betting market and recent changes in market regulations, it is interesting to reexamine the socioeconomic profile of German sports bettors: Who bets on sports? In order to analyse this question, this study used an online survey to collect data on sports-betting behaviour ( N=634). It modelled participation in sports betting by means of a logit model that recovers determinants of a person’s propensity to participate in sports betting. Results show that the typical sports-bettor is 32 years old and male, has a low household income, is highly interested in sports, and is willing to take risks.

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“…These runners, albeit treated as non-spenders on TOUR, had "a potential level of consumption" (Eakins, 2018, p.165). Given the way non-spenders on TOUR were defined, the Heckman model was considered appropriate (Humphreys, Lee, & Soebbing, 2011;Jones, 2000).…”

Section: Discussionmentioning

confidence: 99%

The effects of health, social, and consumption capital on running-related expenditures in China

Xing¹,

Ruo

Taks

2020

European Sport Management Quarterly

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Research question: This study investigates the effects of health, social, and consumption capital on running-related expenditures. It adds to previous research by empirically testing investment in the stock of health on participation-related expenditures.Research methods: Chinese amateur runners (n=6693) were surveyed on health capital (i.e. health change since taking up running), social capital (i.e. running group participation), consumption capital (i.e. sport profiles), demographics, and running-related expenditures over a one-year period. Two instrumental variables reflecting life domain satisfaction were included to address the endogeneity of health change. Results and findings:Results show that variables capturing health, social, and consumption capital significantly affect total running-related expenditures, whereas the effects on expenditure categories vary. After taking endogeneity into account, the results showed that health change since taking up running positively affects total running-related expenditures and sport apparel expenses. Implications:The findings provide empirical support for Downward, Dawson, and Dejonghe's (2009) general economic model of sports consumption by revealing that health, social, and consumption capital are significant drivers of participation-related expenditures. While mass participation, health, and economic objectives may be achieved concurrently, policy makers should carefully balance these objectives. Sport managers and marketers can use mass participant sport events to stimulate continued participation, and this in turn generates health, social, and consumption capital that drives expenditures. Fostering running group participation increases expenditures. Early career runners should be targeted for sport apparel. Crosspromotion among related sports may increase overall sport consumption.

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Modeling Consumers' Participation in Gambling Markets and Frequency of Gambling

Cited by 10 publications

References 19 publications

Gambling and Substance Use: A Cross-Consumption Analysis of Tobacco Smoking, Alcohol Drinking and Gambling

Gambling and Substance Use: A Cross-Consumption Analysis of Tobacco Smoking, Alcohol Drinking and Gambling

Who bets on sports? Some further empirical evidence using German data

The effects of health, social, and consumption capital on running-related expenditures in China

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