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Christine Eckert
Researcher at University of Technology, Sydney
Publications - 49
Citations - 759
Christine Eckert is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Financial literacy & Reputation. The author has an hindex of 16, co-authored 43 publications receiving 645 citations.
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Segmenting consumers’ reasons for and against ethical consumption
TL;DR: In this paper, a taxonomy of reasons for and against ethical purchasing is developed, and an online survey incorporating best-worst scaling (BWS) determines which reasons feature more in shaping ethical consumerism.
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Financial Competence and Expectations Formation: Evidence from Australia*
Abstract: We study the financial competence of Australian retirement savers using self-assessed and quantified measures. Responses to financial literacy questions show large variation and compare poorly with some international surveys. Basic and sophisticated financial literacy vary significantly with most demographics, self-assessed financial competence, income, superannuation accumulation and net worth. General numeracy scores are largely constant across gender, age, higher education and income. Financial competence also significantly affects expectations of stock market performance. Using a discrete choice model, we show that individuals with a higher understanding of risk, diversification and financial assets are more likely to assign a probability to future financial crises rather than expressing uncertainty.
Journal Article
How much does a company's reputation matter in recruiting?
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Dissuasive cigarette sticks: the next step in standardised (‘plain’) packaging?
TL;DR: In this article, the authors examined whether changing the appearance of cigarette sticks could further denormalise smoking and enhance the negative impact of standardised packaging, and found that dissuasive sticks were less preferred and rated as less appealing than the most common stick in use.
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Using discrete choice experiments to estimate willingness-to-pay intervals
TL;DR: In this article, the authors propose a new measure, the attractiveness index, which serves to identify attractive consumers by combining knowledge about their price sensitivities and error variances, and demonstrate that consumers with comparable preferences can differ in their purchase probability by an average of 16% as reflected in differences in their WTP intervals.