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Book
House Prices, Local Demand, and Retail Prices
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Year: 2014 Publisher: National Bureau of Economic Research

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Book
What Do You Think About Climate Finance?
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Year: 2021 Publisher: National Bureau of Economic Research

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Estimated Impact of the Fed's Mortgage-Backed Securities Purchase Program
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Year: 2009 Publisher: National Bureau of Economic Research

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Digital
Testing for Information Asymmetries in Real Estate Markets
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Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We study equilibrium outcomes in markets with asymmetric information about asset values among both buyers and sellers. In residential real estate markets hard-to-observe neighborhood characteristics are a key source of information heterogeneity: sellers are usually better informed about neighborhood values than buyers, but there are some sellers and some buyers that are better informed than their peers. We propose a new theoretical framework for analyzing such markets with many heterogeneous assets and differentially informed agents. Consistent with the predictions from this framework, we find that changes in the seller composition towards (i) more informed sellers and (ii) sellers with a larger supply elasticity predict subsequent house-price declines and demographic changes in that neighborhood. This effect is larger for houses whose value depends more on neighborhood characteristics, and smaller for houses bought by more informed buyers. Our findings suggest that home owners have superior information about important neighborhood characteristics, and exploit this information to time local market movements.


Digital
House Prices, Local Demand, and Retail Prices
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Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We use detailed micro data to document a causal response of local retail prices to changes in house prices, with elasticities of 15%-20% across housing booms and busts. We provide evidence that our results are driven by changes in markups rather than by changes in local costs. We argue that this markup variation arises when increases in housing wealth reduce households' demand elasticity, and firms raise markups in response. Consistent with this wealth channel, price effects are larger in zip codes with many homeowners, and non-existent in zip codes with mostly renters. In addition, shopping data confirms that house price changes have opposite effects on the price sensitivity of homeowners and renters. Our evidence has implications for monetary, labor and urban economics, and suggests a new source of markup variation in business cycle models.


Digital
Estimated Impact of the Fed’s Mortgage-Backed Securities Purchase Program
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Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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We examine the quantitative impact of the Federal Reserve's mortgage-backed securities (MBS) purchase program. We focus on how much of the recent decline in mortgage interest rate spreads can be attributed to these purchases. The question is more difficult than frequently perceived because of simultaneous changes in prepayment and default risks. When we control for these risks, we find evidence of statistically insignificant or small effects of the program. For specifications where the existence or announcement of the program appears to have lowered spreads, we find no separate effect of the size of the stock of MBS purchased by the Fed.


Digital
No-Bubble Condition : Model-free Tests in Housing Markets
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Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We test for the existence of infinitely-lived bubbles in housing markets by directly measuring failures of the pricing condition requiring the present value of infinite-maturity payments to be zero. This condition is central to workhorse models of bubbles. In the U.K. and Singapore, property ownership takes the form of either leaseholds or freeholds. Leaseholds are finite-maturity ownership contracts with maturities often exceeding 700 years; freeholds are perpetual contracts. The price difference between long-maturity leaseholds and freeholds reflects the present value of the freehold after leasehold expiry, thus directly measuring the no-bubble condition. We find no evidence of infinitely-lived bubbles.


Digital
Very Long-Run Discount Rates
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Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We provide direct estimates of how agents trade off immediate costs and uncertain future benefits that occur in the very long run, 100 or more years away. We exploit a unique feature of housing markets in the U.K. and Singapore, where residential property ownership takes the form of either leaseholds or freeholds. Leaseholds are temporary, pre-paid, and tradable ownership contracts with maturities between 99 and 999 years, while freeholds are perpetual ownership contracts. The difference between leasehold and freehold prices reflects the present value of perpetual rental income starting at leasehold expiry, and is thus informative about very long-run discount rates. We estimate the price discounts for varying leasehold maturities compared to freeholds and extremely long-run leaseholds via hedonic regressions using proprietary datasets of the universe of transactions in each country. Agents discount very long-run cash flows at low rates, assigning high present values to cash flows hundreds of years in the future. For example, 100-year leaseholds are valued at more than 10% less than otherwise identical freeholds, implying discount rates below 2.6% for 100-year claims. Given the riskiness of rents, this suggests that both long-run risk-free discount rates and long-run risk premia are low. We show how the estimated very long-run discount rates are informative for climate change policy.


Digital
Segmented Housing Search
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Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper studies housing markets with multiple segments searched by heterogeneous clienteles. We document market and search activity for the San Francisco Bay Area. Variation within narrow geographic areas is large and differs significantly from variation across those areas. In particular, search activity and inventory covary positively within cities and zip codes, but negatively across those units. A quantitative search model shows how the interaction of broad and narrow searchers drives housing market activity at different levels of aggregation and shapes the response to shocks as well as price discounts due to market frictions.


Book
Very long-run discount rates
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Year: 2014 Publisher: London Centre for economic policy research

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