Search Results
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 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 Paper
House Price Growth Interdependencies and Comovement
This paper examines house price comovement across U.S. metropolitan areas (MSAs). We develop a Markov-switching framework that includes a spatial similarity element based on distances between MSAs. Our approach allows for house price comovements that occur due to similar timing of downturns across groups or clusters of MSAs. The inclusion of the spatial element improves the model fit compared to a standard endogenous clustering model. We find seven clusters of MSAs, where each cluster experiences idiosyncratic house price downturns, plus one distinct national house price cycle. Notably, only ...
Working Paper
Traffic Noise in Georgia: Sound Levels and Inequality
Using Lorenz-type curves, means tests, ordinary least squares, and locally weighted regressions (LWR), we examine the relative burdens of whites, blacks, and Hispanics in Georgia from road and air traffic noise. We find that whites bear less noise than either blacks or Hispanics and that blacks tend to experience more traffic noise than Hispanics. While every Metropolitan Statistical Area (MSA) showed that blacks experienced relatively more noise than average, such a result did not hold for Hispanics in roughly half of the MSAs. We find much heterogeneity across Census tracts using LWR. For ...
Working Paper
Interregional Migration and Housing Vacancy: Theory and Empirics
We examine homeowner vacancy rate interdependencies over time and space through the channel of migration. Our theoretical analysis extends the Wheaton (1990) search and matching model for housing by incorporating interregional spillovers due to some households’ desires to migrate between regions and by allowing for regime-switching behavior. Our empirical analysis of vacancy rates for the entire U.S. and for Census regions provides visual evidence for the possibility of regime-switching behavior. We explicitly test our model by estimating basic Vector Autoregression (VAR) and ...
Journal Article
The boom and bust of U.S. housing prices from various geographic perspectives
This paper summarizes changes in housing prices during the recent U.S. boom and bust from various geographic perspectives. Nationally, the Standard & Poor?s/Case-Shiller house price index more than doubled in nominal terms during the boom and has fallen by roughly a third subsequently. During the boom, housing prices tended to rise much faster in metropolitan areas in the East and West Coast regions than in the country?s interior. After adjusting for inflation, 7 of 19 metropolitan areas have experienced real declines in housing prices from the start of the boom to the present. Although ...
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 ...
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 ...
Journal Article
Congestion at airports: the economics of airport expansions
Congestion and subsequent delays have been prevalent in many U.S. airports in recent years. A common response to congestion, championed by many community leaders, is to expand capacity by constructing new runways and terminals. Airport expansions are costly, complex, and controversial. We begin by using basic economic theory to analyze congestion at those airports that are part of an air transportation system. Next, we describe how benefit-cost analysis is used to assess the desirability of airport expansions. Many of the key points are illustrated in the context of Lambert?St. Louis ...
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 ...