Liberty Street Economics

« | Main | »

November 5, 2015

How Did Quantitative Easing Interact with Regional Inequality?

Income, or wealth, inequality is not something that central bankers generally worry about when setting monetary policy, the goals of which are to maintain price stability and promote full employment. Nevertheless, it is important to understand whether and how monetary policy affects inequality, and this topic has recently generated quite a bit of discussion and academic research, with some arguing that the Federal Reserve’s expansionary policy of recent years has exacerbated inequality (see, for instance, here or here), while others reach the opposite conclusion (see here or here). This disagreement can be attributed in part to the different channels through which expansionary monetary policy can affect inequality: its effect on asset prices would tend to increase inequality, while its effect on labor incomes and employment would likely decrease inequality. In this post, I study one particular channel through which Fed policies may have disparate effects—namely, mortgage refinancing—and I focus on dispersion across locations in the United States.

In a recent Staff Report with Martin Beraja, Erik Hurst, and Joseph Vavra (prepared for a symposium on monetary policy and inequality at the Brookings Institution’s Hutchins Center on Fiscal and Monetary Policy), my coauthors and I study dispersion in economic conditions across metropolitan statistical areas (MSAs) in the United States and how this dispersion interacted with unconventional monetary policy—especially the way monetary policy was transmitted through the mortgage market. We focus on the first round of “large-scale asset purchases” (colloquially known as “QE1”) that was announced in late November 2008 with the goal of supporting the housing market and financial markets more generally. The announcement of the program had a substantial effect on mortgage rates, which fell by almost one percentage point within a month of the announcement. Aggregate mortgage-origination activity—primarily refinancings—also reacted strongly, with applications leading to originations increasing by almost $100 billion in December 2008, or almost threefold relative to the months before the announcement.

Since refinancing into a lower-rate mortgage increases the borrower’s disposable income, and since refinancing also frequently involves some “cash out” of home equity, it is plausible that the refinancing wave in 2009 had a stimulative effect on the overall economy. (When mortgages are refinanced, the holders of the previous mortgage lose, but there are reasons why this would likely not offset the effect on borrowers, as discussed in this 2012 blog post).

We show in the paper, however, that the increase in refinancing activity was much stronger in some areas of the country than in others. Specifically, since it is more difficult or expensive for borrowers with little home equity to refinance, areas where home prices declined the most had relatively fewer homeowners who were able to refinance and benefit from the lower rates. Furthermore, as shown in the chart below, the locations where, in late 2008, many borrowers had combined loan-to-value ratios (CLTVs) above 80 percent—a threshold above which it becomes more difficult to refinance—were the same locations that had suffered large increases in unemployment over the previous two years. The upper-right area of the chart includes many MSAs from the “sand states”—Arizona, California, Florida, and Nevada—which were hit hardest by the housing bust.

MSAs with More Low-Equity Borrowers in Late 2008 Had Seen Larger Increases in Unemployment since 2007

In the chart below, we plot the amount of refinancing originations (by month in which the loan application was filed) for the 25 percent of MSAs with the lowest fraction of borrowers with CLTV ratios above 80 percent, and the 25 percent of MSAs with the highest fraction of high-CLTV borrowers. What the chart shows is that refinancing volumes increased in both groups but the increase was much greater in the MSAs where borrowers had more equity.

Refi Amounts for High-Equity MSAs Far Higher Than for Low-Equity Areas after QE1

In our staff report, we show that this is not just true for refinancing overall but also when looking at “cash-out” refinances, where borrowers extract equity from their homes when refinancing their mortgages. We estimate that over the first half of 2009, borrowers in the quartile of low-CLTV MSAs extracted $16 billion of equity, compared with just $6 billion in the quartile with high-CLTV borrowers. (This may have added to the broader trend of stronger debt growth in relatively higher-income areas, as discussed in an earlier post in this series.)

We also present evidence that this differential reaction to monetary policy was reflected in consumer spending. In particular, we look at a measure of new car sales and find that those sales increased differentially more in the low-CLTV MSAs relative to the high-CLTV MSAs following the announcement of QE1, as the following chart illustrates.

New Car Sales Rose More in High-Equity MSAs Than in Low-Equity Areas after QE1

These findings suggest that, at least in terms of how it was transmitted through the mortgage market, recent unconventional monetary policy had less of a beneficial effect for the areas of the country that were doing relatively poorly at the time the policy was announced.

However, is this outcome an argument against using such policies? Not necessarily. In fact, to hit its aggregate objectives, the central bank may need to use more aggressive expansionary policy when many borrowers are unable to take advantage of the low rates and when those who can take advantage have a lower propensity to consume if their debt burden decreases—the point being that the dispersion in characteristics (such as CLTV and unemployment, in our example) affects the transmission of monetary policy.

What this episode also highlights is the importance of frictions in the transmission of monetary policy through the mortgage market (a topic that was discussed during a recent conference held at the Federal Reserve Bank of New York). In the United States, where most mortgages have fixed rates, a borrower needs to qualify for a new loan in order to benefit from lower rates. If, instead, more borrowers had adjustable-rate loans, as in most other countries, they would have automatically benefited from a decrease in rates, and the increase in dispersion might not have occurred to the extent described above. (In fact, as we explain in the paper, the higher prevalence of adjustable-rate loans in the sand states did to some extent counteract the effects shown above, though only incompletely so.)

Another lesson is that fiscal policy measures can counteract a tendency for monetary policy to have more beneficial effects on areas or households that are in a better position to begin with, and can improve the overall efficacy of monetary policy. In the case of mortgage refinancing, the government introduced the Home Affordable Refinance Program in 2009 (and then enhanced it in 2012) in order to allow more borrowers to benefit from low rates, even if the borrowers were underwater on their mortgages. To date, more than three million people have taken advantage of the program, which likely reduced their default risk and also had some stimulative effect on the economy.

The views expressed in
this post are those of the author and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the author.

Andreas Fuster is a senior economist in the Federal Reserve Bank of New York’s Research and Statistics Group.

About the Blog

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

Image of NYFED Economic Research Tracker Icon Liberty Street Economics is available on the iPhone® and iPad® and can be customized by economic research topic or economist.

Economic Inequality

image of inequality icons for the Economic Inequality: A Research Series

This ongoing Liberty Street Economics series analyzes disparities in economic and policy outcomes by race, gender, age, region, income, and other factors.

Most Read this Year

Comment Guidelines


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 1,500 characters.

Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.

Please be relevant: 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.

Please be respectful: 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.‎

Comments with links: Please do not include any links in your comment, even if you feel the links will contribute to the discussion. Comments with links will not be posted.

Send Us Feedback

Disclosure Policy

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.