JM Collins, CM O'rourke - Journal of Consumer Affairs, 2010 - Wiley Online Library
This article reviews the evaluation literature on financial education and counseling for adults in order to synthesize implications for research and practice. Most evaluations report positive …
T Kaiser, L Menkhoff - The World Bank Economic Review, 2017 - academic.oup.com
In a meta-analysis of 126 impact evaluation studies, we find that financial education significantly impacts financial behavior and, to an even larger extent, financial literacy …
Policy makers have embraced financial education as a necessary antidote to the increasing complexity of consumers' financial decisions over the last generation. We conduct a meta …
S Meier, CD Sprenger - Journal of Economic Behavior & Organization, 2013 - Elsevier
Many policymakers and economists argue that financial literacy is key to financial well- being. But why do many individuals remain financially illiterate despite the benefits of being …
M Miller, J Reichelstein, C Salas… - A Meta-Analysis of the …, 2014 - papers.ssrn.com
This paper presents a systematic and comprehensive meta-analysis of the literature on financial education interventions. The analysis focuses on financial education studies …
This survey summarizes current research on financial literacy efforts. Because most financial literacy programs are relatively new, much of the literature reviewed here is also new and …
SEG Lea - Social Issues and Policy Review, 2021 - Wiley Online Library
This paper reviews psychological studies of real‐life use of credit, debt, and overindebtedness, with the aim of making policy recommendations that could reduce the …
AJ Mewse, SEG Lea, W Wrapson - Journal of economic psychology, 2010 - Elsevier
Questionnaire research was carried out to identify factors that may encourage problem debtors to take the first steps towards getting out of debt. Consumers with debt problems …
JR de Castro Vieira, F Barboza, VA Sobreiro… - Applied Soft …, 2019 - Elsevier
The main objective of this study is to investigate the behaviour of default prediction models based on credit scoring methods and computational techniques with machine learning …