Literature DB >> 22562549

Gamblers' habits: empirical evidence on the behavior of regulars, newcomers and dropouts.

Ingo Fiedler1.   

Abstract

Electronic gambling offers the opportunity to analyze huge and unbiased data sets of automatically recorded actual gambling behavior. This study refers to data on 2,127,887 poker playing identities from the Online Poker Database of the University of Hamburg (OPD-UHH) to analyze three subgroups of gamblers: regulars, newcomers, and dropouts. Their gambling habits over 6 months are analyzed in total, as well as over time. Regulars show a much higher involvement than non-regulars and increase their playing volume slightly over the observation period. Newcomers have a lower involvement than non-newcomers and most of them decrease their playing volume over time. Still, there is a small group of newcomers which increases their playing volume sharply and is, hence, very interesting for the industry as well as for the early prevention of pathological gambling. Dropouts have a higher gambling involvement than newcomers but play less than players who have not stopped stop gambling. Most dropouts also show a decreasing playing volume before dropping out. An analysis of the correlations between different variables of gambling habits shows that most of them reinforce each other, for example: gamblers with a higher total playing time tend to play at more tables simultaneously. Only playing frequency is a moderating variable of gambling involvement.

Entities:  

Mesh:

Year:  2013        PMID: 22562549     DOI: 10.1007/s10899-012-9306-0

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  7 in total

1.  How do gamblers start gambling: identifying behavioural markers for high-risk internet gambling.

Authors:  Julia Braverman; Howard J Shaffer
Journal:  Eur J Public Health       Date:  2010-01-27       Impact factor: 3.367

2.  Prevalence and predictors of pathological gambling: results from the St. Louis personality, health and lifestyle (SLPHL) study.

Authors:  Renee M Cunningham-Williams; Richard A Grucza; Linda B Cottler; Sharon B Womack; Samantha J Books; Thomas R Przybeck; Edward L Spitznagel; C Robert Cloninger
Journal:  J Psychiatr Res       Date:  2005-07       Impact factor: 4.791

3.  How do gamblers end gambling: longitudinal analysis of Internet gambling behaviors prior to account closure due to gambling related problems.

Authors:  Ziming Xuan; Howard Shaffer
Journal:  J Gambl Stud       Date:  2009-02-27

4.  Real limits in the virtual world: self-limiting behavior of Internet gamblers.

Authors:  Sarah E Nelson; Debi A LaPlante; Allyson J Peller; Anja Schumann; Richard A LaBrie; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2008-08-12

5.  Inside the virtual casino: a prospective longitudinal study of actual Internet casino gambling.

Authors:  Richard A Labrie; Sara A Kaplan; Debi A Laplante; Sarah E Nelson; Howard J Shaffer
Journal:  Eur J Public Health       Date:  2008-04-23       Impact factor: 3.367

6.  Assessing the playing field: a prospective longitudinal study of internet sports gambling behavior.

Authors:  Richard A LaBrie; Debi A LaPlante; Sarah E Nelson; Anja Schumann; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2007-06-17

7.  Virtual harm reduction efforts for Internet gambling: effects of deposit limits on actual Internet sports gambling behavior.

Authors:  Anja Broda; Debi A LaPlante; Sarah E Nelson; Richard A LaBrie; Leslie B Bosworth; Howard J Shaffer
Journal:  Harm Reduct J       Date:  2008-08-06
  7 in total
  2 in total

1.  Consumer Profile Segmentation in Online Lottery Gambling Utilizing Behavioral Tracking Data from the Portuguese National Lottery.

Authors:  Bernardo T Chagas; J F S Gomes; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2021-09-13

2.  Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions.

Authors:  Oliver J Scholten; David Zendle; James A Walker
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

  2 in total

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