Literature DB >> 27328818

Predictability in Pathological Gambling? Applying the Duplication of Purchase Law to the Understanding of Cross-Purchases Between Regular and Pathological Gamblers.

Desmond Lam1, Richard Mizerski2.   

Abstract

The objective of this study is to explore the gambling participations and game purchase duplication of light regular, heavy regular and pathological gamblers by applying the Duplication of Purchase Law. Current study uses data collected by the Australian Productivity Commission for eight different types of games. Key behavioral statistics on light regular, heavy regular, and pathological gamblers were computed and compared. The key finding is that pathological gambling, just like regular gambling, follows the Duplication of Purchase Law, which states that the dominant factor of purchase duplication between two brands is their market shares. This means that gambling between any two games at pathological level, like any regular consumer purchases, exhibits "law-like" regularity based on the pathological gamblers' participation rate of each game. Additionally, pathological gamblers tend to gamble more frequently across all games except lotteries and instant as well as make greater cross-purchases compared to heavy regular gamblers. A better understanding of the behavioral traits between regular (particularly heavy regular) and pathological gamblers can be useful to public policy makers and social marketers in order to more accurately identify such gamblers and better manage the negative impacts of gambling.

Keywords:  Duplication of purchase law; Gambling; Pathological gambling

Mesh:

Year:  2017        PMID: 27328818     DOI: 10.1007/s10899-016-9629-3

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


  9 in total

Review 1.  A pathways model of problem and pathological gambling.

Authors:  Alex Blaszczynski; Lia Nower
Journal:  Addiction       Date:  2002-05       Impact factor: 6.526

2.  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

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Authors:  R Ladouceur
Journal:  J Gambl Stud       Date:  1996-06

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Authors:  R A Volberg
Journal:  J Gambl Stud       Date:  1996-06

Review 5.  Parameters for safer gambling behavior: examining the empirical research.

Authors:  Allyson J Peller; Debi A LaPlante; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2008-05-28

6.  A taxometric analysis of actual Internet sports gambling behavior.

Authors:  Julia Braverman; Richard A LaBrie; Howard J Shaffer
Journal:  Psychol Assess       Date:  2011-03

7.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

8.  Estimating the prevalence of disordered gambling behavior in the United States and Canada: a research synthesis.

Authors:  H J Shaffer; M N Hall; J Vander Bilt
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

9.  The experience of pervasive loss: children and young people living in a family where parental gambling is a problem.

Authors:  P Darbyshire; C Oster; H Carrig
Journal:  J Gambl Stud       Date:  2001
  9 in total

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