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Author:Cohen, Jeffrey P. 

Working Paper
National and Regional Housing Vacancy: Insights Using Markov-switching Models

We examine homeowner vacancy rates over time and space using Markov-switching models. Our theoretical analysis extends the Wheaton (1990) search and matching model for housing by incorporating regime-switching behavior and interregional spillovers. Our approach is strongly supported by our empirical results. Estimations, using constant-only as well as Vector Autoregressions, allow us to examine differences in vacancy rates as well as explore the possibility of asymmetries within and across housing markets, depending on the state/regime (e.g., low or high vacancy) of a given housing market. ...
Working Papers , Paper 2018-7

Working Paper
House Price Growth Interdependencies and Comovement

This paper examines house price diffusion across metropolitan areas in the United States. We develop a generalization of the Hamilton and Owyang (2012) Markov-switching model, where we incorporate direct regional spillovers using a spatial weighting matrix. The Markov-switching framework allows consideration for house price movements that occur due to similar timing of downturns across MSAs. The inclusion of the spatial weighting matrix improves fit compared to a standard endogenous clustering model. We find seven clusters of MSAs that experience idiosyncratic recessions plus one distinct ...
Working Papers , Paper 2019-28

Working Paper
Semi-Parametric Interpolations of Residential Location Values: Using Housing Price Data to Generate Balanced Panels

We estimate location values for single family houses by local polynomial regressions (LPR), a semi-parametric procedure, using a standard housing price and characteristics dataset. As a logical extension of the LPR method, we interpolate land values for every property in every year and validate the accuracy of the interpolated estimates with an out-of-sample forecasting approach using Denver sales during 2003 through 2010. We also compare the LPR and OLS models out-of-sample and determine that the LPR model is more efficient at predicting location values. In a balanced panel application, we ...
Working Papers , Paper 2014-50

Working Paper
Local Polynomial Regressions versus OLS for Generating Location Value Estimates: Which is More Efficient in Out-of-Sample Forecasts?

As an alternative to ordinary least squares (OLS), we estimate location values for single family houses using a standard housing price and characteristics dataset by local polynomial regressions (LPR), a semi-parametric procedure. We also compare the LPR and OLS models in the Denver metropolitan area in the years 2003, 2006 and 2010 with out-of-sample forecasting. We determine that the LPR model is more efficient than OLS at predicting location values in counties with greater densities of sales. Also, LPR outperforms OLS in 2010 for all 5 counties in our dataset. Our findings suggest that LPR ...
Working Papers , Paper 2015-14

Working Paper
The Closing of a Major Airport: Immediate and Longer-Term Housing Market Effects

The closing of a busy airport has large effects on noise and economic activity. Using a unique dataset, we examine the effects of closing Denver’s Stapleton Airport on nearby housing markets. We find evidence of immediate anticipatory price effects upon announcement, but no price changes at closing and little evidence of upward trending prices between announcement and closing. However, after airport closure, more higher income and fewer black households moved into these locations, and developers built higher quality houses. Finally, post-closing, these demographic and housing stock changes ...
Working Papers , Paper 2020-001

Journal Article
1960s Interstate Highways and Homeowner Wealth Distribution

This article studies house-level real estate wealth distribution changes nearby a major interstate highway, comparing values before the announcement of the highway's construction (1940) with those during and shortly after the construction period (1961-74). We also develop Lorenz curves to examine the distribution of housing wealth among various demographic groups of homeowners. First, we find that properties at least a half-mile away from I-84 experienced statistically significant appreciation (on average). Houses further away, in 0.25 mile increments up to 1.25 miles, appreciated less. Our ...
Review , Volume 104 , Issue 4 , Pages 317-336

Working Paper
Negative Externalities and Real Asset Prices: Closing of Stapleton Airport and Effect on Nearby Housing Markets

The closing of a busy airport has large effects on noise and economic activity. We examine the effects of Stapleton airport?s closing on nearby, Denver housing markets. We find evidence of immediate anticipatory effects on prices upon announcement of the closing, but no price changes at closing likely because it was widely anticipated. However, we find that high income and white households delayed moving into these locations until after the airport?s closing. Also, developers upgraded the quality of houses being built after closing. Further, post-closing, these demographic and housing stock ...
Working Papers , Paper 2019-27

Journal Article
Sales of Distressed Residential Property: What Have We Learned from Recent Research?

During the housing bust many homeowners found themselves ?underwater??the amount they owed on their mortgages exceeded the value of the associated property?and they either could not or possibly chose not to stay current on their mortgage payments. As a consequence, sales of so-called distressed properties, often after a foreclosure, became commonplace. This spurred numerous research papers on various related issues. The authors? review summarizes the research findings on three topics: the impact of changes in housing prices on foreclosures; the impact of foreclosure on the sales price of the ...
Review , Volume 98 , Issue 3 , Pages 159-88

Working Paper
Spatial heterogeneity and the geographic distribution of airport noise

One might expect that houses closer to an airport and those in higher minority population neighborhoods experience more airport noise. We find evidence supporting these conjectures when estimating a standard ordered probit model for houses sold near the Atlanta airport. However, because the various neighborhood demographics surrounding the airport can be heterogeneous, and the noise contours are not necessarily correlated with distance in certain neighborhoods, we hypothesize that the impacts of explanatory variables on the probability of greater noise vary across space. We explore spatial ...
Working Papers , Paper 2009-058

Journal Article
How Might Transforming Highways Impact Community Wealth?

Cities are rethinking what the highway system might look like. How might changes impact wealth, and how might a history of racial inequities be addressed?
Bridges , Volume 2022 (4)

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