How Will the New Tax Law Affect Homeowners in High Tax States? It Depends
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The Tax Cuts and Jobs Act of 2017 (TCJA) introduces significant changes to the federal income tax code for individuals and businesses. Several provisions of the new tax law are particularly significant for the owner-occupied housing market. In this blog post, we compare the federal tax liability and the marginal after-tax cost of mortgage interest and property taxes under the old and new tax codes for a wide range of hypothetical recent home buyers in a high tax state. We find that impacts vary substantially along the income/home price distribution.
Landing a Jumbo Is Getting Easier
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Andreas Fuster, James Vickery, and Akhtar Shah The United States relies heavily on securitization for funding residential mortgages. But for institutional reasons, large mortgages, or “jumbos,” are more difficult to securitize, and are instead usually held as whole loans by banks. How does this structure affect the pricing and availability of jumbo mortgages? In this […]
Just Released: Great Recession’s Impact Lingers in Hardest‑Hit Regions
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The New York Fed’s Center for Microeconomic Data today released our Quarterly Report on Household Debt and Credit for the fourth quarter of 2017. Along with this report, we have posted an update of state-level data on balances and delinquencies for 2017. Overall aggregate debt balances increased again, with growth in all types of balances except for home equity lines of credit. In our post on the first quarter of 2017 we reported that overall balances had surpassed their peak set in the third quarter of 2008—the result of a slow but steady climb from several years of sharp deleveraging during the Great Recession.
The Fed’s Balance Sheet, Night Lights, and the Other Top LSE Posts of 2017
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In the spirit of this season of year-end lists of accomplishments, Liberty Street Economics offers a roundup of our most viewed posts. Our readers continued to gravitate toward timely, topical posts; our most popular explained how the Fed manages its enlarged balance sheet—a major focus of the FOMC, Congress, markets, and economists. Prompted by reader questions in response to their first post, the authors also penned a follow-up post. Another hit this year described an innovative indicator of economic growth—night light intensity measured via satellite—and used it to fact-check official Chinese growth estimates.
Are Student Loan Defaults Cyclical? It Depends
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This post is the second in a two-part series on student loan default behavior. In the first post , we studied how educational characteristics (school type and selectivity, graduation, and major) and family background relate to the incidence of student loan default. In this post, we investigate whether default behavior has varied across cohorts of borrowers as the labor market evolved over time. Specifically, does the ability of student loan holders to repay their loans vary with the state of the labor market? Does the type of education these students received make any difference to this relationship?
Who Is More Likely to Default on Student Loans?
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This post seeks to understand how educational characteristics (school type and selectivity, graduation status, major) and family background relate to the incidence of student loan default. Student indebtedness has grown substantially, increasing by 170 percent between 2006 and 2016. In addition, the fraction of students who default on those loans has grown considerably. Of students who left college in 2010 and 2011, 28 percent defaulted on their student loans within five years, compared with 19 percent of those who left school in 2005 and 2006. Since defaulting on student loans can have serious consequences for credit scores and, by extension, the ability to purchase a home and take out other loans, it’s critical to understand how college and family characteristics correspond to default rates.
Just Released: Auto Lending Keeps Pace as Delinquencies Mount in Auto Finance Sector
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Total household debt increased by $116 billion to reach $12.96 trillion in the third quarter of 2017, according to the latest Quarterly Report on Household Debt and Credit released today by the New York Fed’s Center for Microeconomic Data. Household debt has been growing since mid-2013, boosted in part by steady growth in auto loan balances, which have grown for twenty-six consecutive quarters thanks to record-high levels of newly originated loans. Although new vehicle sales had begun to slump over the summer after several strong years of growth, September and October saw a rebound in sales, ending with over 18 million vehicles sold (seasonally adjusted at an annualized rate), and auto loan originations in the third quarter were commensurate with these numbers. In this post, we revisit the state of auto lending and auto loan performance, using the New York Fed Consumer Credit Panel which is based on Equifax credit data.
Understanding Permanent and Temporary Income Shocks
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The earnings of 200 million U.S. workers change each year for various reasons. Some of these changes are anticipated while others are more unexpected. Although many of these changes may be due to pleasant surprises—such as receiving salary raises and promotions—others involve disappointments—such as falling into unemployment. Arguably, some of these factors have rather short-lived effects on an individual’s earnings, whereas others may have permanent effects. Many labor economists have been interested in these various shocks to earnings. How big are the more permanent shocks to earnings? How large are they relative to those that are temporary in nature? What are the sources of these shocks? In this blog post, we exploit a novel data set that enables us to explore the properties of earnings shocks: their magnitudes as well as their origins.