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.
Average economic outcomes serve as important indicators of the overall state of the economy. However, they mask a lot of underlying variability in how people experience the economy across geography, or by race, income, age, or other attributes. Following our series on heterogeneity broadly in October 2019 and in labor market outcomes in March 2020, we now turn our focus to further documenting heterogeneity in the credit market. While we have written about credit market heterogeneity before, this series integrates insights on disparities in outcomes in various parts of the credit market. The analysis includes a look at differing homeownership rates across populations, varying exposure to foreclosures and evictions, and uneven student loan burdens and repayment behaviors. It also covers heterogeneous effects of policies by comparing financial health outcomes for those with access to public tuition subsidies and Medicare versus those not eligible. The findings underscore that a measure of the average, particularly relating to policy impact, is far from complete. Rather, a sharper picture of the diverse effects is essential to understanding the efficacy of policy.
In this post, we study whether (and how) the spread of COVID-19 across the United States has varied by geography, race, income, and population density. Have urban areas been more affected by COVID-19 than rural areas? Has population density mattered in the spread? Has the coronavirus's impact varied by race and income? Our analysis uncovers stark demographic and geographic differences in the effects of the pandemic thus far.
Olivier Armantier, Joelle Scally, Kyle Smith, and Wilbert van der Klaauw
The Federal Reserve Bank of New York released results today from its October 2018 SCE Credit Access Survey, which provides information on consumers' experiences with and expectations about credit demand and credit access. The survey is fielded every four months and was previously fielded in June.
China’s population is only growing at a 0.5 percent annual rate, its working-age cohort (ages 15 to 64) is shrinking, and the share of the population that is 65 and over is rising rapidly. Together, these trends will act as a significant restraint on the country’s economic growth. Nonetheless, there are reasons to conclude that growth will remain relatively strong going forward, most notably because the ongoing shift from rural to urban jobs will continue to boost labor productivity for some time to come.
The state of the New York City subway system has worsened considerably over the past few years. As a consequence of rising ridership and decaying infrastructure, the network is plagued by delays and frequently fails to deliver New Yorkers to their destinations on time. While these delays are a headache for anyone who depends on the subway to get around, they do not affect all riders in the same way. In this post, we explain why subway delays disproportionately affect low-income New Yorkers. We show that wealthier commuters who rely on the subway are less likely to experience extensive issues on their commutes.
Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
At a press briefing this morning, economists at the New York Fed focused on the evolution of housing wealth and its use as collateral. Their comments came in connection with the Center for Microeconomic Data’s release of its Quarterly Report on Household Debt and Credit for the first quarter of this year. The briefing opened with remarks from Director of Research Beverly Hirtle, who described the importance of housing wealth and how it has evolved since 2000. Bank economists then explored the data on housing wealth more deeply in this presentation, which includes three parts: (1) an overview of recent developments on household balance sheets, with a focus on housing values and mortgage debt; (2) a discussion of how housing wealth has changed over time and how it is distributed across households; and (3) facts on the changing nature of how households have used their home equity.
Andrew F. Haughwout, Richard Peach, and Joseph Tracy
The homeownership rate—the percentage of households that own rather than rent the homes that they live in—has fallen sharply since mid-2005. In fact, in the second quarter of 2016 the homeownership rate fell to 62.9 percent, its lowest level since 1965. In this blog post, we look at underlying demographic trends to gain a deeper understanding of the large increase in the homeownership rate from 1995 to 2005 and the subsequent large decline. Although there is reason to believe that the homeownership rate may begin to rise again in the not-too-distant future, it is unlikely to fully recover to its previous peak levels. This is a disconcerting finding for those who view homeownership as an integral part of the American Dream and a key component of income security during retirement.
In Monday’s post, we described the estimation of real wage growth rates for different cohorts of U.S. workers. We showed that the life-cycle pattern of real wage growth is characterized by high growth early in a worker’s career, little to no growth in mid-career, and negative growth as workers near retirement. We also documented that a growing fraction of the U.S. adult population is transitioning into the flat to negative real wage growth phases of their careers. Here, we turn our attention to estimating the effect of this demographic shift on the economy-wide average real wage growth rate. Our analysis shows that this economy-wide average real wage growth rate has declined by a third since the mid-1980s.
A key concern about Puerto Rico’s prospects is that its labor force participation rate, which is the percentage of the adult population either working or looking for work, has fallen sharply. Looking at the data shows that this decline cannot be attributed to any particular demographic segment. Instead, it is the consequence of an aging population, accelerated by a falling birth rate and outmigration of a relatively young cohort. Expected demographic trends will continue to put downward pressure on the participation rate over the medium term, creating a challenging headwind for the economy to overcome.
The contribution of labor input to the potential GDP growth rate for the United States has changed over time. We decompose this contribution into two components: the size of the adult population and the average demographically adjusted employment rate. We find that these two components in the late 1960s and early 1970s contributed at least 2.5 percentage points to potential growth. Since the mid-1990s, the aging of the population has reduced the contribution of labor to growth. We estimate that the current contribution to potential economic growth from labor input has declined to around 0.6 percentage points. One implication going forward is that more labor productivity growth will be required to sustain U.S. growth.
Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.
The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.
Liberty Street Economics does not publish new posts during the blackout periods surrounding Federal Open Market Committee meetings.
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.