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前一天下注输钱是否会影响到下一次在线赌马的时间?

Does Losing on a Previous Betting Day Predict How Long it Takes to Return to the Next Session of Online Horse Race Betting?

机构信息

Department of Business, University of Eastern Finland, Joensuu Campus, P.O. Box 111, 80101, Joensuu, Finland.

出版信息

J Gambl Stud. 2021 Jun;37(2):609-622. doi: 10.1007/s10899-020-09974-x. Epub 2020 Sep 18.

DOI:10.1007/s10899-020-09974-x
PMID:32948929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8144140/
Abstract

This study examined how recent losses predict the frequency of play in online betting. Previous studies have suggested that players tend to decrease betting volume and consequently take on less risk after a losing session. We used a daily panel of actual gambling data and survival regression to investigate how incurring losses predicts the duration to the next betting day. Our main findings were that, after a losing betting day, a bettor typically abstained from betting for a 27% longer time than after a day he or she broke even. Further, we found that either untypically high wins or loses significantly predicted the amount of time to the next gambling event. This study adds to the gambling literature by presenting evidence on a reduction in betting activity following a losing session.

摘要

本研究考察了近期亏损如何预测在线博彩的频率。先前的研究表明,玩家在输钱后往往会减少投注量,从而承担的风险也相应降低。我们使用实际博彩数据的每日面板和生存回归来研究亏损如何预测下一个博彩日的持续时间。我们的主要发现是,在输掉博彩日之后,赌徒通常会比在收支平衡日之后更长时间地避免下注,通常要多 27%。此外,我们发现,要么是非典型的高赢要么是输会显著预测下一次赌博活动的时间。本研究通过提供关于在输钱后减少投注活动的证据,为赌博文献做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/af8126160e9c/10899_2020_9974_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/05d0b4320ed7/10899_2020_9974_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/5ac0c7d6b4ac/10899_2020_9974_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/af8126160e9c/10899_2020_9974_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/05d0b4320ed7/10899_2020_9974_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/5ac0c7d6b4ac/10899_2020_9974_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04f/8144140/af8126160e9c/10899_2020_9974_Fig3_HTML.jpg

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引用本文的文献

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J Behav Addict. 2024 Apr 23;13(2):665-675. doi: 10.1556/2006.2024.00022. Print 2024 Jun 26.
2
Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence.涉及从在线运营商获取的客观数据的行为跟踪和分析研究:证据综述。
J Gambl Stud. 2024 Jun;40(2):639-671. doi: 10.1007/s10899-023-10247-6. Epub 2023 Aug 27.
3
Gender Differences in the Propensity to Start Gambling.性别差异与赌博倾向。
J Gambl Stud. 2023 Dec;39(4):1799-1814. doi: 10.1007/s10899-023-10232-z. Epub 2023 Jul 4.
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Development and validation of a prediction model for online gambling problems based on players' account data.基于玩家账户数据的在线赌博问题预测模型的开发和验证。
J Behav Addict. 2022 Sep 20;11(3):874-889. doi: 10.1556/2006.2022.00063. Print 2022 Sep 26.