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The homeownership rate peaked at 69 percent in late 2004. By the summer of 2016, it had dropped below 63 percent—exactly where it was when the government started reporting these data back in 1965. The housing bust played a central role in this decline. We capture this effect through what we call the homeownership gap—the difference between the official homeownership rate and the “effective” rate where only homeowners with positive equity in their house are counted. The effective rate takes into account that a borrower does not in an economic sense own the house if the mortgage debt is greater than the house’s value. In this post, we show that between 2005 and 2012, the effective rate fell well below, and put downward pressure on, the official rate. We also demonstrate that the increase in house prices and the exit of millions of homeowners through foreclosure has largely eliminated the gap between the official and effective homeownership rates.
Stefania Albanesi, Jaromir Nosal, Zachary Bleemer, and Matthew Ploenzke
Correction: The source notes for the charts in this post were incomplete and have been corrected. We regret the error.
First in a two-part series
Personal bankruptcy was introduced in the United States through the Bankruptcy Act of 1978. After passage of the act, bankruptcy rates rose steadily until 2005, when Congress passed the Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA). BAPCPA was signed by President George W. Bush on April 20, 2005, and applied to bankruptcy cases filed on or after October 17, 2005. The reform caused a large and permanent reduction in bankruptcy filings. In this post, we study the mechanism behind this drop and the consequences for households.
On October 5, 2012, the Federal Reserve Bank of New York and the Rockefeller Institute of Government co-hosted the conference “Distressed Residential Real Estate: Dimensions, Impacts, and Remedies.” This post not only makes available a compendium of the findings of the conference, but also updates and extends some of the analysis presented. In particular, we look across states to assess the differential impacts of judicial and non-judicial processes to resolve the foreclosure crisis. Controlling for the peak percentage of loans that were seriously delinquent, we find that non-judicial states are much further along in reducing the backlog of loans in foreclosure. In addition, controlling for the magnitude of the decline in home prices from peak to trough, we observe that home prices have recovered considerably more in the non-judicial states.
Households in the New York-northern New Jersey region were spared the worst of the housing bust and have generally experienced less financial stress than average over the past several years. However, as the housing market has begun to recover both regionally and nationally, the region is faring far worse than the nation in one important respect—a growing backlog of foreclosures is resulting in a foreclosure rate that is now well above the national average. In this blog post, we describe this outsized increase in the region’s foreclosure rate and explain why it has occurred. We then discuss why the large build-up in foreclosures could cause a headwind for home-price gains in the region.
The foreclosure crisis in America continues to grow, with more than 3 million homes foreclosed since 2008 and another 2 million in the process of foreclosure. President Obama, in his speech of February 2, 2012, argued for expanded refinancing opportunities for homeowners and programs to expedite the transition of foreclosed homes into rental housing. In this post, we document the changing face of foreclosures since 2006 and the transformation of the crisis from a subprime mortgage problem to a prime mortgage problem owing to the housing bust and persistent high unemployment. Recognizing this change is critical because the design of housing policies should reflect the types of homeowners who are at risk of foreclosure today rather than those who were at risk at the onset of the financial crisis.
With unemployment very high, income loss is now the primary reason for mortgage default. Unemployed homeowners face tough choices. Those with equity in their house may attempt to sell it quickly. Alternatively, to keep their house while seeking a new job, they might deplete their savings, apply for a loan modification, or use other credit. Those with negative equity—who owe more on the mortgage than the property’s current value—have fewer choices, because selling the house won’t pay off the mortgage. All too often the home enters foreclosure and becomes costly for the family and the community. In this post, we examine how states may be able to offer special bridge loans to help jobless homeowners pay their mortgages and help protect neighborhoods and housing markets. Such initiatives could complement existing programs by helping many distressed homeowners before they miss any payments.
Since its peak in summer 2008, U.S. consumers’ indebtedness has fallen by more than a trillion dollars. Over roughly the same period, charge-offs—the removal of obligations from consumers’ credit reports because of defaults—have risen sharply, especially on loans secured by houses, which make up about 80 percent of consumer liabilities. An important question for gauging the behavior of U.S. consumers is how to interpret these two trends. Is the reduction in debts entirely attributable to defaults, or are consumers actively reducing their debts? In this post, we demonstrate that a significant part of the debt reduction was produced by consumers borrowing less and paying off debt more quickly—a process often called deleveraging.
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, Donald Morgan, and Asani Sarkar, all economists in the Bank’s Research Group.
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.
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