Predicting financial literacy in Australia
By Andrew C. Worthington. Financial Services Review, 2006
246 citations recorded by the source corpus.
Logit models are used to predict financial literacy using the 2003 ANZ Survey of Adult Financial Literacy in Australia. Financial literacy is defined in terms of mathematical ability and the under standing of financial terms. Factors examined include gender, age, ethnicity, occupation, education, income, savings, and debt. Financial literacy is found to be highest for persons aged between 50 and 60 years, professionals, business and farm owners, and university/college graduates. Literacy is lowest for the unemployed, females, and those from a non-English speaking background with a low level of education.
Subfields: Accounting, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b354f2df2e05d03f3b31737ec126d8dc8f6d4d71
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Citations in the corpus
- Impact of Financial Literacy and Behavioural Biases on Investment Decision-making (2021, background): “In a broad sense, it is designated, as understanding the economy and how economic situations and events influence decisions (Worthington, 2006).”
- The Effect of Personal Finance Education on The Financial Knowledge, Attitudes and Behaviour of University Students in Indonesia (2020, background): “Studies of financial capability have also noted that financial capability is linked to income and socioeconomic status (Worthington 2006; Mandell 2008; Loke 2017).”
- Purposive and Unintentional Family Financial Socialization, Subjective Financial Knowledge, and Financial Behavior of High School Students (2019, background): “It may also mean that exposure to the marketplace provides participants with opportunities that were not available before (Worthington, 2004).”