Submission Title

Playing it safe with the house money – evaluating the break even and house money effects using horse race betting data

Session Title

Session 1-3-E: Gambling and Risk Taking

Presentation Type

Paper Presentation

Location

Park MGM, Las Vegas, NV

Start Date

23-5-2023 1:45 PM

End Date

23-5-2023 3:15 PM

Disciplines

Behavioral Economics | Cognitive Science | Social Psychology

Abstract

In financial risk-taking, decisions are heavily influenced by past outcomes. The house money effect and breaking even effect (also known as chasing losses) are well-known phenomena in behavioral economics, and they suggest that an individual’s risk-taking increases following a win or a loss, respectively. Previous research has found support for both effects, but the boundary conditions for which effect takes precedence and when are unclear. We combined data from a large online horse betting panel dataset, comprehensive administrative population registry, and intelligence tests, and found support for the house money effect: Controlling for demographics and IQ, horse betting losses on the previous day increased betting amounts on the following betting day. We did not observe the breaking even effect, or any clear moderating effects for IQ, but instead found a playing safe effect: losing on a previous day decreased bet sizes on the following betting day and increased the time-period between two consequent betting sessions. We also observed a cooling off effect whereby the breaking even- and playing safe effects attenuated with increasing time-period between consecutive betting days. Our findings are novel, as they involve authentic financial risk-taking in a natural setting, with demographics and IQ as control variables, using large datasets. I will discuss these findings in relation to theories in behavioral economics and suggest explanations for when and why real-life losses lead to changes in risk-taking.

Keywords

Risk-taking, Decision-making, Horse betting, House money -effect, Breaking even -effect, Chasing losses

Author Bios

Jussi Palomäki is a cognitive scientist and senior researcher at the Finnish Institute for Health and Welfare. His current work is mainly focused on gambling harm prevention, but he maintains a keen multidisciplinary interest in cognitive phenomena such as decision-making, emotions, and risk-taking.

Funding Sources

Academy of Finland (grant #331102 to Niko Suhonen)

Competing Interests

None

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May 23rd, 1:45 PM May 23rd, 3:15 PM

Playing it safe with the house money – evaluating the break even and house money effects using horse race betting data

Park MGM, Las Vegas, NV

In financial risk-taking, decisions are heavily influenced by past outcomes. The house money effect and breaking even effect (also known as chasing losses) are well-known phenomena in behavioral economics, and they suggest that an individual’s risk-taking increases following a win or a loss, respectively. Previous research has found support for both effects, but the boundary conditions for which effect takes precedence and when are unclear. We combined data from a large online horse betting panel dataset, comprehensive administrative population registry, and intelligence tests, and found support for the house money effect: Controlling for demographics and IQ, horse betting losses on the previous day increased betting amounts on the following betting day. We did not observe the breaking even effect, or any clear moderating effects for IQ, but instead found a playing safe effect: losing on a previous day decreased bet sizes on the following betting day and increased the time-period between two consequent betting sessions. We also observed a cooling off effect whereby the breaking even- and playing safe effects attenuated with increasing time-period between consecutive betting days. Our findings are novel, as they involve authentic financial risk-taking in a natural setting, with demographics and IQ as control variables, using large datasets. I will discuss these findings in relation to theories in behavioral economics and suggest explanations for when and why real-life losses lead to changes in risk-taking.