Recent changes to a measure of U.S. household debt service

Changes in levels of aggregate household debt in the United States may contain information about the current state of the nation's economy and may affect its future direction. A commonly used measure of household indebtedness is the household debt service ratio (formerly known as the household debt service burden), published since 1980 by the Board of Governors of the Federal Reserve System. Recent changes in financial markets have prompted a comprehensive revision of this statistic. This article describes the revision and introduces a new measure, the financial obligations ratio, which adds recurring obligations -- rent, auto leases, homeowners' insurance, and property taxes -- to the traditional calculation of the debt service ratio. In total, these revisions change the level of the debt service ratio but do not substantively alter its trajectory over time. The article also presents separate estimates of the financial obligations ratio for homeowners and renters. The ratio for homeowners, which may summarize the effects of the recent refinancing boom on the financial obligations of homeowners, has risen gradually over the past decade; the ratio for renters has risen more steeply. The flat contour of the homeowner ratio in recent quarters suggests that homeowners may have rebalanced their portfolios toward lower-cost mortgage debt during the recent period of economic weakness.Households ; Debt

The Underrepresentation of Women in Economics: A Study of Undergraduate Economics Students

Although women are underrepresented in the field of economics, many see little need for intervention, arguing that women are inherently less interested in economics, or are less willing or able to get the math skills skills needed to do well in the subject. At the same time, others support active efforts to increase the number of women in the field, citing other possible causes of their current underrepresentation. These people argue, for example, that women are deterred from entering the field because of a lack of female role models, or that women are discouraged by an unappealing classroom environment. This study assesses these hypotheses by examining factors that influence undergraduate students' decisions to become economics majors using a survey of students in the introductory economics course at Harvard University as well as data on an entire class of students from Harvard's registrar. We find that although women in the introductory economics course at Harvard tend to begin the course with a weaker math background than men, math background does not explain much of the gender difference in students' decisions about majoring in economics. The class environment and the presence or absence of role models also do not explain much of the gender gap. On the other hand, women do less well in economics relative to other courses than men do, and controlling for this difference in relative performance significantly diminishes the estimated gender gap. An economically large but statistically insignificant difference between sexes in the probability of majoring in economics remains, however, which may be due to differing tastes or information about the nature of economics.

Mortgage refinancing in 2001 and early 2002

Over the past ten years, millions of homeowners have taken advantage of lower mortgage interest rates and higher home values and have refinanced their mortgage loans. For many, the decision to refinance was motivated by a desire to reduce their monthly mortgage payments, either by obtaining a lower interest rate or by extending the maturity of their mortgage. When they have refinanced, many homeowners have liquefied some of the equity they accumulated in their homes by borrowing more than they needed to pay off their former mortgage and cover the transaction costs of the refinancing. They have used the funds raised in so-called cash-out refinancings to make home improvements, to repay other debts, or to purchase goods and services or other assets. This article presents estimates, based on recent survey findings, of the incidence of refinancing, the changes in terms and conditions of mortgages after refinancing, the amount of funds homeowners raised in the process, and the ways in which homeowners used the funds. It also provides comparisons with previous surveys of refinancing activity and a statistical analysis of the relative importance of different determinants of refinancing and the amount of home equity liquefied during refinancing. Finally, it gives rough estimates of the effects of recent refinancing on the U.S. economy, including the effects on aggregate consumption spending.Mortgages ; Housing - Finance

Changing Retirement Behavior in the Wake of the Financial Crisis

The financial crisis and ensuing Great Recession left huge scars on household balance sheets, with households approaching retirement seeing the largest decline in wealth. This chapter examines how these households have adjusted to these developments. To date, most evidence on this question has come from surveys of household intentions. Using data on actual household behavior, we find that households nearing retirement are making up for financial losses by increasing saving and deferring retirement. They also appear to have reduced financial risk exposure by taking on less leverage and moving their portfolios in a more conservative direction

Do the Rich Save More?

The issue of whether higher lifetime income households save a larger fraction of their income is an important factor in the evaluation of tax and macroeconomic policy. Despite an outpouring of research on this topic in the 1950s and 1960s, the question remains unresolved and has since received little attention. This paper revisits the issue, using new empirical methods and the Panel Study on Income Dynamics, the Survey of Consumer Finances, and the Consumer Expenditure Survey. We first consider the various ways in which life cycle models can be altered to generate differences in saving rates by income groups: differences in Social Security benefits, different time preference rates, non-homothetic preferences, bequest motives, uncertainty, and consumption floors. Using a variety of instruments for lifetime income, we find a strong positive relationship between personal saving rates and lifetime income. The data do not support theories relying on time preference rates, non-homothetic preferences, or variations in Social Security benefits. Instead, the evidence is consistent with models in which precautionary saving and bequest motives drive variations in saving rates across income groups. Finally, we illustrate how models that assume a constant rate of saving across income groups can yield erroneous predictions.

Financial innovation and the Great Moderation: what do household data say?

Aggressive deregulation of the household debt market in the early 1980s triggered innovations that greatly reduced the required home equity of U.S. households, allowing them to cash-out a large part of accumulated equity. In 1982, home equity equaled 71 percent of GDP; so this generated a borrowing shock of huge macroeconomic proportions. The combination of increasing household debt from 43 to 56 percent of GDP with high interest rates during the 1982-1990 period is consistent with such a shock to households’ demand for funds. This paper uses a quantitative general equilibrium model of lending from the wealthy to the middle class to evaluate the positive and normative aspects of the transition to a high debt economy. Using the model, we interpret evidence on the changing distribution of assets and debt as well as macro time series since 1982.Households - Economic aspects

Survey of finance companies, 2000

Against a backdrop of robust economic activity, the finance company sector expanded briskly over the second half of the 1990s. The value of receivables held by finance companies in the United States rose nearly 50 percent, or about 11 percent a year, between 1996 and 2000. Business lending remained finance companies' major line of activity; the importance to the sector of consumer lending and leasing declined slightly, and the importance of real estate lending rose a bit. These and other findings from the Federal Reserve's mid-2000 benchmark survey of finance companies, as well as developments in the sector since that time, are discussed in this article.Finance companies

The Risk of Financial Hardship in Retirement: A Cohort Analysis

This paper explores the likely prevalence of hardship in old age for individuals now nearing retirement. We use two decades of longitudinal data from the Health and Retirement Study to determine what observable demographic, socioeconomic, and financial factors in late middle age predicted economic hardship in old age for the cohort that was nearing retirement age in the mid-1990s. It then uses these findings to predict economic hardship in old age for the cohort nearing retirement age in the mid-2010s. Our analysis suggests that the more recent cohort is likely to realize higher economic insecurity, particularly among men

Do the Rich Save More?

The question of whether higher–lifetime income households save a larger fraction of their income was the subject of much debate in the 1950s and 1960s, and while not resolved, it remains central to the evaluation of tax and macroeconomic policies. We resolve this long‐standing question using new empirical methods applied to the Panel Study of Income Dynamics, the Survey of Consumer Finances, and the Consumer Expenditure Survey. We find a strong positive relationship between saving rates and lifetime income and a weaker but still positive relationship between the marginal propensity to save and lifetime income. There is little support for theories that seek to explain these positive correlations by relying solely on time preference rates, nonhomothetic preferences, or variations in Social Security benefits. There is more support for models emphasizing uncertainty with respect to income and health expenses, bequest motives, and asset‐based means testing or behavioral factors causing minimal saving rates among low‐income households