Search Results
Working Paper
Signaling Status: The Impact of Relative Income on Household Consumption and Financial Decisions
This paper investigates the importance of status in household consumption and financial decisions using household data from the Survey of Consumer Finances (SCF) linked to neighborhood data in the American Community Survey (ACS). We find evidence that a household's income rank--its position in the income distribution relative to its close neighbors--is positively associated with its expenditures on high status cars, its level of indebtedness, as well as the riskiness of the household's portfolio. More aggregate county-level evidence based on a dataset of every new car sold in each county in ...
Working Paper
Measuring Income and Wealth at the Top Using Administrative and Survey Data
Administrative tax data indicate that U.S. top income and wealth shares are substantial and increasing rapidly (Piketty and Saez 2003, Saez and Zucman 2014). A key reason for using administrative data to measure top shares is to overcome the under-representation of families at the very top that plagues most household surveys. However, using tax records alone restricts the unit of analysis for measuring economic resources, limits the concepts of income and wealth being measured, and imposes a rigid correlation between income and wealth. The Survey of Consumer Finances (SCF) solves the ...
Working Paper
Does education loan debt influence household financial distress? An assessment using the 2007-09 SCF Panel
This paper uses the recent 2007-09 SCF panel to examine the influence of student loans on financial distress. Families with student loans in 2007 have higher levels of financial distress than families without such loans, and these families were more susceptible to transitions to financial distress during the early stages of the Great Recession. This correlation persists once we control for a host of other demographic, work-status, and household balance sheet measures. Families with an average level of student loans were 3.1 percentage points more likely to be 60 days late paying bills and 3 ...
Working Paper
How Much has Wealth Concentration Grown in the United States? A Re-Examination of Data from 2001-2013
Well known research based on capitalized income tax data shows robust growth in wealth concentration in the late 2000s. We show that these robust growth estimates rely on an assumption---homogeneous rates of return across the wealth distribution---that is not supported by data. When the capitalization model incorporates heterogeneous rates of return (on just interest-bearing assets), wealth concentration estimates in 2011 fall from 40.5% to 33.9%. These estimates are consistent in levels and trend with other micro wealth data and show that wealth concentration increases until the Great ...
Journal Article
Changes in U.S. family finances from 2007 to 2010: evidence from the Survey of Consumer Finances
The Federal Reserve Board's Survey of Consumer Finances for 2010 provides insights into changes in family income and net worth since the 2007 survey. The survey shows that, over the 2007?10 period, the median value of real (inflation-adjusted) family income before taxes fell 7.7 percent, while mean income fell more sharply, an 11.1 percent decline. Both median and mean net worth decreased even more dramatically than income over this period, though the relative movements in the median and the mean are reversed; the median fell 38.8 percent, and the mean fell 14.7 percent. This article reviews ...
Discussion Paper
How Much Student Debt is Out There?
As is widely known, student loan debt has expanded significantly over the past decade or so and stands at historically high levels. But how much in total do students owe?
Working Paper
Updates to the Sampling of Wealthy Families in the Survey of Consumer Finances
Participation in household surveys has fallen over time, making it harder to produce a household survey-like the Survey of Consumer Finances (SCF)-in a timely manner. To address these challenges, the reference year of the sampling frame data for the 2016 SCF wealthy oversample was shifted back one year, allowing the oversample to be selected earlier than the past. In implementing this change, though, we risk identifying an outdated set of families and introducing variability in the sampling process. However, we show that the set of families selected in the new frame are observationally ...