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Book
Housing Wealth Effects : The Long View
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Year: 2018 Publisher: National Bureau of Economic Research

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How Do Foreclosures Exacerbate Housing Downturns?
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Year: 2019 Publisher: National Bureau of Economic Research

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Mortgage Design in an Equilibrium Model of the Housing Market
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Year: 2018 Publisher: National Bureau of Economic Research

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Mortgage Design in an Equilibrium Model of the Housing Market
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Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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How can mortgages be redesigned to reduce housing market volatility, consumption volatility, and default? How does mortgage design interact with monetary policy? We answer these questions using a quantitative equilibrium life cycle model with aggregate shocks, long-term mortgages, and an equilibrium housing market, focusing on designs that index payments to monetary policy. Designs that raise mortgage payments in booms and lower them in recessions do better than designs with fixed mortgage payments. The welfare benefits are quantitatively substantial: ARMs improve household welfare relative to FRMs by the equivalent of 0.83 percent of annual consumption under a monetary regime in which the central bank lowers real interest rates in a bust. Among designs that reduce payments in a bust, we show that those that front-load the payment reductions and concentrate them in recessions outperform designs that spread payment reductions over the life of the mortgage. Front-loading alleviates household liquidity constraints in states where they are most binding, reducing default and stimulating housing demand by new homeowners. To isolate this channel, we compare an FRM with a built-in option to be converted to an ARM with an FRM with an option to be refinanced at the prevailing FRM rate. Under these two contracts, the present value of a lender's loan falls by roughly an equal amount, as these contracts primarily differ in the timing of expected repayments. The FRM that can be converted to an ARM, which front loads payment reductions, improves household welfare by four times as much.


Digital
Housing Wealth Effects : The Long View
Authors: --- --- ---
Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We provide new, time-varying estimates of the housing wealth effect back to the 1980s. We exploit systematic differences in city-level exposure to regional house price cycles to instrument for house prices. Our main findings are that: 1) Large housing wealth effects are not new: we estimate substantial effects back to the mid 1980s; 2) Housing wealth effects were not particularly large in the 2000s; if anything, they were larger prior to 2000; and 3) There is no evidence of a boom-bust asymmetry. We compare these findings to the implications of a standard life-cycle model with borrowing constraints, uninsurable income risk, illiquid housing, and long-term mortgages. The model explains our empirical findings about the insensitivity of the housing wealth effects to changes in the loan-to-value (LTV) distribution, including the dramatic rise in LTVs in the Great Recession. The insensitivity arises in the model for two reasons. First, impatient low-LTV agents have a high elasticity. Second, a rightward shift in the LTV distribution increases not only the number of highly sensitive constrained agents but also the number of underwater agents whose consumption is insensitive to house prices.


Book
The 2000s Housing Cycle With 2020 Hindsight : A Neo-Kindlebergerian View
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Year: 2021 Publisher: Cambridge, Mass. National Bureau of Economic Research

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With "2020 hindsight," the 2000s housing cycle is not a boom-bust but a boom-bust- rebound. Using a spatial equilibrium regression in which house prices are determined by income, amenities, urbanization, and supply, we show that long-run city-level fundamentals predict not only 1997-2019 price and rent growth but also the amplitude of the boom-bust-rebound. This evidence motivates our model of a cycle rooted in fundamentals. Households learn about fundamentals by observing "dividends" but become over-optimistic in the boom due to diagnostic expectations. A bust ensues when beliefs start to correct, exacerbated by a price-foreclosure spiral that drives prices below their long-run level. The rebound follows as prices converge to a path commensurate with higher fundamental growth. The estimated model explains the boom-bust-rebound with a single shock and accounts quantitatively for the dynamics of prices, rents, and foreclosures in cities with the largest cycles. We draw implications for asset cycles more generally.

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Book
Housing Wealth Effects : The Long View
Authors: --- --- --- ---
Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

We provide new time-varying estimates of the housing wealth effect back to the 1980s. These estimates are based on a new identification strategy that exploits systematic differences in city-level exposure to regional house price cycles as an instrument for house prices. Our estimates of housing wealth effects are substantially more precise and smaller than recent estimates, though they remain economically important. Our time-varying estimates indicate that housing wealth effects were not particularly large in the 2000s. This contradicts a popular narrative that lax lending standards in the boom and skyrocketing loan-to-value (LTV) ratios during the bust elevated the housing wealth effect in the 2000s. We show, furthermore, that this narrative is inconsistent with a standard life-cycle model with borrowing constraints, uninsurable income risk, illiquid housing, and long-term mortgages. The housing wealth effect in the model is relatively insensitive to changes in the distribution of LTV for two reasons: First, impatient low- LTV agents have a high elasticity; Second, a rightward shift in the LTV distribution increases not only the number of highly sensitive constrained agents but also the number of underwater agents whose consumption is insensitive to house prices.

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Book
Mortgage Design in an Equilibrium Model of the Housing Market
Authors: --- --- ---
Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

How can mortgages be redesigned to reduce housing market volatility, consumption volatility, and default? How does mortgage design interact with monetary policy? We answer these questions using a quantitative equilibrium life cycle model with aggregate shocks, long-term mortgages, and an equilibrium housing market, focusing on designs that index payments to monetary policy. Designs that raise mortgage payments in booms and lower them in recessions do better than designs with fixed mortgage payments. The benefits are quantitatively substantial: In a simulated crisis under a monetary regime in which the central bank lowers real interest rates in a bust, house prices fall 2.24 percentage points less, 23 percent fewer households default, and consumption falls by 0.79 percentage points less with ARMs relative to FRMs. Among designs that reduce payments in a bust, we show that those that front-load the payment reductions and concentrate them in recessions outperform designs that spread payment reductions over the life of the mortgage. Front-loading alleviates household liquidity constraints in states where they are most binding, reducing default and stimulating housing demand by new homeowners. To isolate this channel, we compare an FRM with a built-in option to be converted to an ARM with an FRM with an option to be refinanced at the prevailing FRM rate. Under these two contracts, the present value of a lender's loan falls by roughly an equal amount, but the FRM that can be converted to an ARM, which front loads payment reductions, reduces the declines in prices and consumption six times as much, and reduces default three times as much.

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Book
How Do Foreclosures Exacerbate Housing Downturns?
Authors: --- ---
Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper uses a structural model to show that foreclosures played a crucial role in exacerbating the recent housing bust and to analyze foreclosure mitigation policy. We consider a dynamic search model in which foreclosures freeze the market for non-foreclosures and reduce price and sales volume by eroding lender equity, destroying the credit of potential buyers, and making buyers more selective. These effects cause price-default spirals that amplify an initial shock and help the model fit both national and cross-sectional moments better than a model without foreclosure. When calibrated to the recent bust, the model reveals that the amplification generated by foreclosures is significant: Ruined credit and choosey buyers account for 25.4 percent of the total decline in non-distressed prices and lender losses account for an additional 22.6 percent. For policy, we find that principal reduction is less cost effective than lender equity injections or introducing a single seller that holds foreclosures off the market until demand rebounds. We also show that policies that slow down the pace of foreclosures can be counterproductive.

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