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Authors:Levi Pérez, Ana Rodríguez, Andrey Shmarev Abstract: Problem gambling treatment is a challenging present-day topic. This paper proposes an empirical model for evaluating the effectiveness of treatment for problem gambling using a sample of problem gamblers treated by a set of Spanish associations dedicated to gambling addiction issues. Data consists of multiple levels of nested groups (individuals and problem gambling recovery centres). A multi-level, mixed-effects logistic regression is used which permits controlling for unobserved heterogeneity across different problem gambling associations. The results seem to indicate that individual aspects such as age, family history, marital status or work situation, but also behavioural factors (previous dropouts, relapses during treatment, or consumption of other substances) are found to affect the effectiveness of treatment for gambling disorders. The analysis of the predictors for treatment efficacy may help treatment techniques to be adapted depending on the characteristics of individual patients and to evaluate programmes designed by treatment centres. PubDate: 2021-12-23 DOI: 10.5750/jgbe.v14i2.1943 Issue No:Vol. 14, No. 2 (2021)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Kazutaka Kurihara, Yohei Tutiya Abstract: In this paper, we propose a model which simulates odds distributions of pari-mutuel betting system under two hypotheses on the behavior of bettors: 1. The amount of bets increases very rapidly as the deadline for betting comes near. 2. Each bettor bets on a horse which gives the largest expectation value of the benefit. The results can be interpreted as such efficient behaviors do not serve to extinguish the FL bias but even produce stronger FL bias. PubDate: 2021-12-23 DOI: 10.5750/jgbe.v14i2.1946 Issue No:Vol. 14, No. 2 (2021)
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Authors:Jonathan Barsky, Anh Huynh, Jessica Tucker Abstract: COVID-19 has accelerated change in the casino sector, and it is likely to impact the performance of this industry for years. This study evaluates the potential for casinos to bounce back to pre-pandemic levels by addressing changing perceptions and priorities of their customers. A national survey of US casino customers was conducted to provide insight into what gamblers would like to see and, more importantly, what they expect from casinos when they return. The results offer implications for health and safety mitigation, vaccination protocols, and the preferences of loyal casino customers and “Big Spenders”. PubDate: 2021-12-23 DOI: 10.5750/jgbe.v14i2.1962 Issue No:Vol. 14, No. 2 (2021)
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Authors:Ashok K. Singh Abstract: The coronavirus epidemic or Covid-19 started in Wuhan, China in December 2019 and has severely impacted all aspects of life worldwide. It has resulted in 216 million infections and 4.5 million deaths so far globally, and In the present article, the impact of coronavirus on gaming revenue of the state of Nevada will be investigated. Gaming revenue time series data for the period January 1988 – November 2020 was obtained from the Gaming Control Board of Nevada. In addition to the trend and seasonality components, the terrorist attack of September 2011, the recession of 2008, and the coronavirus pandemic are also included in the Machine Learning (ML) prediction models for gaming revenues. The goals of this study are to estimate the effect of the coronavirus pandemic on gaming revenue of the Las Vegas Strip casinos, and to forecast gaming revenue and predict time to recovery. The results of this analysis show that the impact of coronavirus has been drastic, but the economic recovery has been rather fast. PubDate: 2021-12-23 DOI: 10.5750/jgbe.v14i2.1965 Issue No:Vol. 14, No. 2 (2021)
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