The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
Andreas Fuster, Eilidh Geddes, and Andrew Haughwout
In yesterday’s post, we discussed the extreme swings that household leverage has taken since 2005, using combined loan-to-value (CLTV) ratios for housing as our metric. We also explored the risks that current household leverage presents in the event of a significant downturn in prices. Today we reverse the perspective, and consider housing equity—the value of housing net of all debt for which it serves as collateral. For the majority of households, housing equity is the principal form of wealth, other than human capital, and it thus represents an important form of potential collateral for borrowing. In that sense, housing equity is an opportunity in the same way that housing leverage is a risk. It turns out that aggregate housing equity at the end of 2015 was very close, in nominal terms, to its pre-crisis (2005) level. But housing wealth has moved to a different group of people—made up of people who are older and have higher credit scores than a decade ago. In today’s post, we look at the evolution of housing equity and its owners.
Andreas Fuster, Eilidh Geddes, Benedict Guttman-Kenney, and Andrew Haughwout
Housing is by far the most important asset for most households, and, not coincidentally, housing debt dwarfs other household liabilities. The relationship between housing debt and housing values figures significantly in financial and macroeconomic stability, as events during the housing bust of 2006-12 clearly demonstrated. This week, Liberty Street Economics presents five posts touching on various aspects of housing, from the changing relationship between mortgage debt and housing equity to the future of homeownership. In today’s post, we provide estimates of housing equity and explore how vulnerable households are to declines in house prices, using methods introduced in our paper “Tracking and Stress Testing U.S. Household Leverage.”
While consumer confidence as measured by various surveys has increased sharply since the national election, the New York Fed's Survey of Consumer Expectations (SCE) has shown little notable change in expectations. In this post, we show that the difference may partly reflect systematic compositional changes whereby respondents who answer a survey after the election differ in important ways from those answering the survey before the election—something which the SCE largely avoids. We also show that the flat average aggregate outlook in the SCE masks substantial regional/partisan heterogeneity in shifts in expectations.
By Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
Editor’s note: When this post was first published, the chart on loan originations contained an incorrect label; the chart and linked data file have been corrected. (December 1, 12:32 p.m.)
The latest Quarterly Report on Household Debt and Credit from the New York Fed’s Center for Microeconomic Data showed a small increase in overall debt in the third quarter of 2016, bolstered by gains in non-housing debt. Mortgage balances continue to grow at a sluggish pace since the recession while auto loan balances are growing steadily. The rise in auto loans has been fueled by high levels of originations across the spectrum of creditworthiness, including subprime loans, which are disproportionately originated by auto finance companies. Disaggregating delinquency rates by credit score reveals signs of distress for loans issued to subprime borrowers—those with a credit score under 620. In this post we take a deeper dive into the observed growth in auto loan originations and delinquencies. This analysis and our Quarterly Report are based on the New York Fed’s Consumer Credit Panel, a data set drawn from Equifax credit reports.
Olivier Armantier, Giorgio Topa, Wilbert van der Klaauw, and Basit Zafar
The New York Fed’s Survey of Consumer Expectations (SCE) collects information on household heads’ economic expectations and behavior. In particular, the survey covers respondents’ views on how inflation, spending, credit access, and the housing and labor markets will evolve over time. The SCE yields important insights that inform our monetary policy decisions. This morning, President Dudley joined New York Fed economists to brief the press on the design of the SCE and the latest releases of survey results. President Dudley introduced the briefing by speaking about the benefits of measuring consumers’ expectations.
Olivier Armantier, Giorgio Topa, Wilbert van der Klaauw, and Basit Zafar
The New York Fed started releasing results from its Survey of Consumer Expectations (SCE) three years ago, in June 2013. The SCE is a monthly, nationally representative, internet-based survey of a rotating panel of about 1,300 household heads. Its goal, as described in a series of Liberty Street Economics posts, is to collect timely and high-quality information on consumer expectations about a broad range of topics, covering both macroeconomic variables and the households' own situation. In this post, we look at what drives changes in consumer inflation expectations. Do people respond to changes in recent realized inflation, and to expected and realized changes in prices of salient individual commodities—like gasoline? Understanding what drives inflation expectations is important for the conduct of monetary policy, since it improves a central bank’s ability to assess its own credibility and to evaluate the impact of its policy decisions and communication strategy.
Meta Brown, Andrew Haughwout, Donghoon Lee, Joelle Scally, Magali Solimano, and Wilbert van der Klaauw
Debt and its performance play a critical role in economic development. The enormous increase in mortgage debt that took place during the run-up to the 2007 financial crisis and the contribution of that debt to the crisis underscore the importance of household debt to financial stability and economic growth. While we regularly report on household debt at the national level and for selected states in our Quarterly Report on Household Debt and Credit, we have not reported separately on Puerto Rico. This post introduces metrics on household debt in Puerto Rico, which we plan to update regularly. Like our other reports on household debt, this analysis uses our FRBNY Consumer Credit Panel, which is based on anonymized credit data from Equifax. We also take a look at some data for Puerto Rico’s banking sector to complete the picture of household debt for the Commonwealth.
Graham Campbell, Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
The Federal Reserve Bank of New York’s Center for Microeconomic Data today released its Quarterly Report on Household Debt and Credit for the second quarter of 2016. It showed that overall household debt increased modestly over the period, with subdued mortgage originations and moderate but continued increases in non-housing related credit—particularly auto loans and credit cards. The total outstanding credit card balance now stands at $729 billion, up $17 billion from the first quarter, but still well below the peak of $866 billion reached in the fourth quarter of 2008. Credit card delinquency rates have continued to improve since peaking in 2008. We have previously “looked under the hood” of auto loans, and in this post, we present analysis that provides new insight into credit card debt by examining trends in credit card issuance and usage. The Quarterly Report and the following analyses are based on data from the New York Fed’s Consumer Credit Panel, which is a nationally representative sample drawn from Equifax credit reports.
Olivier Armantier, Luis Armona, Giacomo De Giorgi, and Wilbert van der Klaauw
Editors’ note: Some numbers related to the relative exposure of households to credit card debt and housing assets have been corrected. (August 2)
At some point in its life a household’s total debt may exceed its total assets, in which case it has “negative wealth.” Even if this status is temporary, it may affect the household’s ability to save for durable goods, restrict access to further credit, and may require living in a state of limited consumption. Detailed analysis of the holdings of negative-wealth households, however, is a topic that has received little attention. In particular, relatively little is known about the characteristics of such households or about what drives negative wealth. A better understanding of these factors could also prove valuable in explaining and forecasting the persistence of wealth inequality. In this post, we take advantage of a special module of the Survey of Consumer Expectations to shed light on this issue.
Tobias Adrian, Richard Crump, Peter Diamond, and Rui Yu
In a previous post, we showed how market rates on U.S. Treasuries violate the expectations hypothesis because of time-varying risk premia. In this post, we provide evidence that term structure models have outperformed direct market-based measures in forecasting interest rates. This suggests that term structure models can play a role in long-run planning for public policy objectives such as assessing the viability of Social Security.
Liberty Street Economics features insight and analysis from economists working at the intersection of research and policy. The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Donald Morgan.
The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.
Economic Research Tracker
Liberty Street Economics is now available on the iPhone® and iPad® and can be customized by economic research topic or economist.
We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:
Please be brief: Comments are limited to 1500 characters.
Please be quick: Comments submitted after COB on Friday will not be published until Monday morning.
Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.
Please be on-topic and patient: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post. We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will not be posted.
The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.