42 research outputs found
U.S. consumers and electronic banking, 1995-2003
The availability and variety of electronic banking technologies in the marketplace has greatly expanded in recent years. For financial institutions, e-banking technologies can speed processing, reduce costs, and help attract and retain customers. For consumers, they can save time and money and may be more convenient than more traditional ways of banking. This article draws on data from two nationwide surveys to look at consumer use of such products and services as debit cards, pre-authorized debits, and computer banking, particularly as use relates to consumer demographic characteristics and consumer perceptions. ; The data show a consistent increase in the proportion of consumers using a variety of e-banking technologies. Consumer attitudes toward e-banking generally have become more positive over time, with more consumers seeing e-banking as convenient, familiar, easy to use, and secure. The use of some technologies, particularly debit cards, has become more democratized over time, but it is still the case that most e-banking technologies tend to be used by higher income, higher asset, younger, and better educated households. ; E-banking technologies hold the promise of helping families manage their money, pay their bills on time, and avoid overextending themselves with credit. To take full advantage of them, however, consumers need to become aware of the evolving array of e-banking technologies available to them and understand how different technologies fit with their financial management needs. Financial planners and consumer educators, working with both families and financial institutions, can help the promise become a reality.Electronic funds transfers ; Internet banking
What's Behind the Inequality We Measure: An Investigation Using Latin American Data
The use of income distribution indicators in the economics literature has increased considerably in recent years. This work relies on household surveys from 18 LAC countries to take a step back from the use of these indicators, and explore what`s behind the numbers, and what information they convey. We find: a) that the way countries rank according to inequality measured in a conventional way is to a large extent an illusion created by differences in characteristics of the data and on the particular ways in which the data is treated; b) Our ideas about the effect of inequality on economic growth are also driven by quality and coverage differences in household surveys and by the way in which the data is treated; c) Standard household surveys in LAC are unable to capture the incomes of the richest sectors of society; so, the inequality we are able to measure is most likely a gross underestimation. Our main conclusion is that there is an important story behind each number. This story influences our judgement about how unequal countries are and about the relation between inequality and other development indicators, but it is seldom told or known. Perhaps other statistics commonly used in economics also have their own interesting story, and it might be worth trying to find out what it is
How Does Consumers’ Financial Vulnerability Relate to Positive and Negative Financial Outcomes? The Mediating Role of Individual Psychological Characteristics
Vulnerable consumers are at particular risk of financial detriment due to, for example, low financial literacy or numeracy, high debt, low income, or impactful changes in personal circumstances. We introduce a comprehensive and formative measure of financial vulnerability that integrates these risk factors and is grounded in definitions of vulnerability from financial regulation bodies and government agencies such as the Consumer Financial Protection Bureau. Across three studies of US individuals, we assess the nomological validity of this measure of financial vulnerability through its relationship with positive and negative financial outcomes (e.g., savings levels, paying credit card balances in full each month, being in arrears) as well as relevant psychological characteristics (e.g., personal savings orientation [PSO], money management skills, financial self‐efficacy). Moreover, we examine whether and how these psychological characteristics mediate the relationship between financial vulnerability and financial outcomes. We conclude with an overview of implications for policy makers and business practitioners