Risk aversion, path dependency and financial economic decision-making in low-income communities: Experimental evidence from South Africa

• Main Authors: Syden Mishi, Robert Mwanyapedza, Florence Katsande, Zintle Sikhunyana
• Format: Article
• Language: English
• Published: AOSIS 2020-12-01
• Series: Journal of Economic and Financial Sciences
• Subjects: decision-making; experimental economics; inequality of opportunities; livelihoods; poverty; uncertainty
• Online Access: https://jefjournal.org.za/index.php/jef/article/view/562
• ISSN: 1995-7076; 2312-2803

Orientation: Poverty is deeply entrenched in South Africa, and various initiatives to reduce it have not been successful. Behavioural economics may help explain this by testing whether individuals exhibit path dependence when making decisions under uncertainty. Research purpose: The aim of this article was to test the presence of path dependence and the determinants of risk aversion. Motivation for the study: This study was conducted in Eastern Cape province of South Africa, which is largely rural, with a high level of poverty, where 36% of households depend on social security grants, and unemployment is higher than the national average. Research approach/design and method: An experimental design approach was applied, eliciting risk under different prospects. Descriptive statistics was used to determine path dependency, with random effects regression used to investigate the determinants of risk aversion. Main findings: The results show the existence of path dependence, with individuals who are more risk averse unwilling to change their choices even if they stand to win or lose more than in the previous period. Practical/managerial implications: Policymakers need to consider these behavioural characteristics in formulating policies to reduce poverty. Information and how that information is presented (framing) are central for impactful policy formulation. Contribution/value-add: The results here have policy implications on addressing triple challenges bedeviling South Africa and many developing countries.