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Exploring gambling patterns that may contribute to failure to pay back loans

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View Open Access Article View Snapshot Back to Search Results

snapshot summaries


Author(s): Håkansson, Anders

Journal: International Journal of Environmental Research and Public Health

Year Published: 2020

Date Added: July 31, 2020

People with problem gambling often experience negative financial consequences. They may get loans and not be able to pay them back. Thus, a failure to repay loans may provide a way to detect problem gambling. In this study, the researcher examined a large dataset involving 20,750 Swedish adults who had taken out at least one loan from a financial institution. The aim was to explore if specific gambling-related transactions and patterns would predict a failure to pay back loans. The results revealed that making deposits to a gambling account or having withdrawals made by a gambling operator did not predict failure to repay loans. A short-term but intense gambling pattern was a risk factor. Specifically, people who made repeated gambling deposits within a short period of time were more likely to default on their loans. Such a pattern might be a sign of loss of control over gambling and contribute to a failure to pay back loans.


Citation: Håkansson, A. (2020). Role of gambling in payback failure in consumer credit – Data from a large body of material regarding consumer loan recipients in Sweden. International Journal of Environmental Research and Public Health, 17(8), 2907. https://doi.org/10.3390/ijerph17082907

Article DOI: https://doi.org/10.3390/ijerph17082907

Keywords: behavioural addictions ; credit ; debt ; finances ; gambling disorder ; problem gambling

Conceptual Framework Factors:   Environment - Social and Economic Impacts ; Psychological Factors ; Gambling Environment

Study Design: Observational: Case Control

Geographic Coverage: Sweden

Study Population: Residents in Sweden who were over the age of 18 and had taken out loans from a financial institution (N = 20,750)

Sampling Procedure: The researcher obtained data from Instantor AB, a Sweden-based company offering models for risk management to banks and similar financial institutes. The dataset covered the years 2015–2018, involving 48,197 loans to 20,750 individuals.

Study Funding:

This research received no study-specific funding.

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