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.

Highlights

  • While individual-level gambling account data is a fairly recent phenomenon in gambling research, studies employing such data have contributed to a better understanding of gambling behaviour in various contexts

  • We found that the average bettor was a 51 year-old male who resides in an urban area, who participated in betting about once in every four days and ended up losing on 70% of his betting days

  • This section examined the association between the time to the betting activity and independent variables using survival regression

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Summary

Introduction

While individual-level gambling account data is a fairly recent phenomenon in gambling research, studies employing such data have contributed to a better understanding of gambling behaviour in various contexts. Work provided overviews of online players’ behaviour over time in gambling forms such as sports betting, casino and poker (e.g., LaBrie et al 2007, 2008; LaPlante et al 2009). These contributions used cross-sectional gambling data and behavioural metrics, which allowed comparisons between, for instance, the representative bettor’s daily betting volume or betting frequency in diverse gambling activities. This lead to a better understanding of behavioural differences between the forms of online gambling.

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