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Record W3000463336 · doi:10.4309/jgi.2019.43.5

Does Sports Betting Affect Investment Behaviour? Evidence from Ghanaian Sports Betting Participants

2019· article· en· W3000463336 on OpenAlexvenueno aff
Albert Ofosu, Richard Kotey

Bibliographic record

VenueJournal of Gambling Issues · 2019
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLotteryInvestment (military)Affect (linguistics)Stochastic gameInvestment decisionsActuarial sciencePsychologyEconomicsMarketingAdvertisingBusinessFinanceBehavioral economicsMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

The study sought to assess the impact of sports betting on the investment behaviour of Ghanaians, focusing on sports betting centers within the Accra Metropolis, Ghana. The objectives of this observational study were to determine how individuals perceive the risk of sports lotteries as opposed to investment, to determine if sports lottery was viewed as an alternative to investments and savings, and to understand how participation in sports lotteries affects individuals’ ability to save and invest. In adopting a survey approach, 99 sports betting participants across selected betting centers were examined using questionnaires and the data subsequently analyzed through cross-tabulations. The study found that sports betting behaviour had a complementary rather than a substitutionary effect on investment behaviour. The participants were both risk-aware and risk-averse, but engaged nevertheless in betting for a chance of winning a high payoff. Thus, the findings demonstrated that sports betting participants viewed betting as a means to an end, a chance to improve their financial circumstances, rather than as a substitute for investing, and exhibited understanding of a clear distinction, with regards to behaviour, towards investing and sports betting. In return for a substantive payoff, the respondents were willing to stop sports betting, thereby indicating that the financial payoffs were the main motivation for sports betting. The findings also provided evidence that individual sports betting behaviour can be moderated by influencing one’s financial circumstances.RésuméL’étude cherche à évaluer l’incidence des paris sportifs sur le comportement d’investissement des Ghanéens, en mettant l’accent sur les centres de paris sportifs au sein de la métropole d’Accra, au Ghana. Cette étude observationnelle vise à déterminer comment les personnes perçoivent le risque lié à la loterie sportive par rapport à l’investissement, à déterminer si la loterie sportive est considérée comme une solution de rechange aux investissements et à l’épargne et à comprendre comment la participation à la loterie sportive affecte la capacité des personnes à épargner et à investir. En adoptant une approche d’enquête et à l’aide de questionnaires et de données analysées dans des tableaux croisés, on a analysé 99 participants aux paris sportifs dans les centres de paris sélectionnés. L’étude a révélé que les paris sportifs avaient un effet complémentaire plutôt qu’un effet de substitution en matière de comportement d’investissement. Les participants étaient conscients du risque et démontraient une aversion au risque, mais pariaient pour avoir la chance de remporter un gain élevé. Ainsi, les résultats ont montré que les participants aux paris sportifs considéraient ces paris comme un moyen d’atteindre une fin, une chance d’améliorer leur situation financière plutôt que comme un substitut à l’investissement. Et en ce qui concerne le comportement, ils savaient clairement faire la différence entre l’investissement et les paris sportifs. Les données ont montré qu’en échange d’un gain substantiel, les répondants étaient disposés à cesser de participer à ces paris, ce qui a permis de démontrer que les gains financiers étaient la principale motivation de ces jeux. Les résultats fournissent également des preuves étayant l’idée selon laquelle le comportement individuel lié aux paris sportifs peut être modéré en influençant la situation financière de chacun.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.224
GPT teacher head0.446
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2019
Admission routes1
Has abstractyes

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