MyMoney Resources - Researcher

This study used the 1992–2006 waves of the Health and Retirement Study (HRS) to investigate changes in risk tolerance levels over time in response to stock market returns. Findings indicate that risk tolerance tends to increase when market returns increase and decrease when market returns decrease. Individuals who change their risk tolerance in this manner are likely to invest in stocks when prices are high and sell when prices are low. Researchers, employers, financial educators and practitioners should help investors overcome the bias of overweighting recent news of market performance.

This study examines the effect of credit-based insurance scores on the price and availability of automobile insurance and the impact of such scores on racial and ethnic minority groups and on low-income groups. Using a large database of insurance policies, the study shows that scores are effective predictors of risk under automobile policies. At the same time, scores are observed to be distributed differently among racial and ethnic groups, and this difference is likely to have an effect on the insurance premiums that these groups pay, on average. Nonetheless, scores appear to derive a relatively small amount of their predictive power from their correlation with race and ethnicity. Finally, the Commission could not develop an alternative scoring model that would continue to predict risk effectively, yet decrease the differences in scores among racial and ethnic groups.

This study presents the results of 36 in-depth interviews with recent mortgage customers, and quantitative consumer testing with over 800 mortgage customers, that examined how consumers search for mortgages, how well consumers understand current mortgage cost disclosures and the terms of their own recently obtained loans, and whether better disclosures could improve consumer understanding of mortgage costs, consumer shopping for mortgage loans, and consumers’ ability to avoid deceptive lending practices. The results of the study show that current mortgage cost disclosures fail to convey key mortgage costs to many consumers, and that prototype disclosures developed for the study significantly improved consumer recognition of mortgage costs, demonstrating that better disclosures are feasible.

This report presents the results of a nationwide survey of rent-to-own customers. The survey found that most rent-to-own merchandise is ultimately purchased by the customer, most customers are satisfied with their rent-to-own transactions, and most customers are treated well if they are late making a payment, although some customers are subject to possibly abusive collection practices. The report recommends that the total cost of purchasing merchandise through a rent-to-own transaction be disclosed on product labels that the consumer can see while shopping, in addition to disclosures in rental agreements and advertisements.

Research concerning the financial well-being of Chinese American households is extremely limited. This article examines factors that affect the probability that Chinese American households will hold debt. Analysis of data from a survey of Chinese Americans in five Midwestern states in the U.S. indicated that 80.5% of the sample households held some type of debt. Factors associated with the probability that a Chinese American household would be a debtor included age, presence of children under 18, health, annual income, and amount of financial and non-financial assets.

The importance of investment portfolio allocation has become more apparent since the onset of the late 2000s Great Recession. Individual willingness to take financial risks affects portfolio decisions and investment returns among other factors. Previous research found that people of different ages have dissimilar levels of risk tolerance but the effects of generation, period, and aging were confounded. Using the 1998–2007 Survey of Consumer Finances cross-sectional datasets, this study uses an analytical method to separate such effects on financial risk tolerance. Aging and period effects on financial risk tolerance were statistically significant. Implications for researchers and financial planning practitioners and educators are provided.

This study reports the results of the Federal Trade Commission’s second statistical survey of fraud in the United States.

This paper investigates the effects of credit scores on consumer payment behavior, especially on debit and credit card use. Anecdotally, a negative relationship between debit card use and credit score has been reported; however, it is not clear whether that relationship is related to other factors, such as education or income, or whether it is a mere correlation. We use a new consumer survey dataset to examine whether this negative relationship holds after controlling for various consumer characteristics, including demographic and financial characteristics, consumers' perceptions toward payment methods, and card reward status. The results based on a single-year survey as well as on panel data suggest that there is a significant negative relationship between debit card use and credit score even after controlling for various characteristics. We supplement the analysis with evidence from Equifax data. The results indicate that an increase in consumers' cost of debit cards—in response to regulatory changes, for example—would have an adverse effect on low-credit-score consumers (typically those with lower incomes and less education). We then investigate what credit score implies. If credit score significantly influences consumer access to credit cards, credit limits, or the cost of credit cards, then the negative relationship likely results from supply-side constraints. If a lower credit score is associated with differences in underlying preferences, then the negative relationship is likely due to demand-side effects. Preliminary evidence strongly suggests that supply-side factors play an important role in the cost of credit and in access to credit

Abstract: We use a new and large panel dataset of household income to shed light on the permanent versus transitory nature of rising inequality in individual male labor earnings and in total household income, both before and after taxes, in the United States over the period 1987-2006. Due to the quality and the significant size of our dataset, we are able to conduct our analysis using rich and precisely estimated error-components models of income dynamics. Our main specification finds evidence for a quadratic heterogeneous income profiles component and a random walk component in permanent earnings, and for a moving-average component in autoregressive transitory earnings. We find that the increase in inequality over our sample period was entirely permanent for male earnings, and predominantly permanent for household income. We also show that the tax system, though reducing inequality, nonetheless did not materially affect its increasing trend. Furthermore, we compare our model-based findings against those of simpler, non-model based inequality decomposition methods. We show that the results for the trends in the evolution of the permanent and transitory variances are remarkably similar across methods, whereas the results for the shares of those variances in cross-sectional inequality differ widely. Further investigation into the sources of these differences suggests that simpler methods produce erroneous decompositions because they cannot flexibly capture the relative degree of persistence of the transitory component of income.