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Erschienen in: The Journal of Real Estate Finance and Economics 1/2010

01.01.2010

Ownership Duration in the Residential Housing Market: The Influence of Structure, Tenure, Household and Neighborhood Factors

verfasst von: Wayne R. Archer, David C. Ling, Brent C Smith

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 1/2010

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Abstract

Turnover rates are important as determinants of the level of activity in housing related industries, in effecting housing market adjustments, and in revealing prices in illiquid, highly segmented, informationally inefficient housing markets. This study examines the relative influence of structure features, tenure, household characteristics and neighborhood factors on ownership turnover rates. The study exploits a Chicago database of just under 50,000 paired sales of attached housing units, with at least one of the sales occurring between 1992 and June of 2002. Within the framework of a Cox proportional hazard model, we focus on a number of factors affecting turnover rates, including whether the housing unit is owner-occupied or rented at the time of sale, price at the time of sale, unit size, age, location in a tax increment financing district, housing density, structure size, year of sale, and neighborhood within Chicago (by Community Area). Finding strong spatial segmentation in turnover (hazard) rates, we further examine the capacity of four sets of Census-derived variables to explain the spatial variation. The household characteristics offer decidedly the strongest power in explaining the segmentation. Results from the hazard model, combined with results from the analysis of spatial variation suggest a household life cycle model of variation in turnover rates.

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Fußnoten
1
In the 2000 Census, median year built was 1948 (SPA3, Table H33).
 
2
The choice to use the Cox proportional hazard model as the econometric framework of this study is a matter of intuition and convenience. In fact, the study could be formulated as a logistic regression. However, we find no less ability to derive conclusions through use of the hazard model, and the question at hand fits quite naturally into the hazard formulation. It is generally recognized that estimation of duration (hazard rates) is vulnerable to a heterogeneity bias in that a subpopulation with higher hazard rates will disappear more quickly, leaving only the “slower” hazard population in the sample. Resulting estimates of hazard rates thus tend to decline through time inappropriately. See, for example, Kiefer (1988), pp. 673–676. Our sample enables examination of several sub-population characteristics that could contribute to such bias, including rental vs. owner-occupied and variation by intra-metropolitan location.
 
3
For additional studies of factors influencing housing time on the market, with extensive bibliographical references, see Knight (2002).
 
4
The Kaplan-Meier method is discussed further below. Also, see, for example, Kiefer (1988, pp. 657–661).
 
5
Note that left-censoring may exist if properties in the sample have purchase dates earlier than the time that sale dates begin to be observed. In this case, it is possible for some shorter duration properties to be purchased after the earliest recorded purchase and resold before the earliest observed sale. These shorter ownership episodes will be under observed. This issue is discussed below for our sample.
 
6
There were 2,872 observations deleted for missing square footage, 9 observations did not have the lot size, and 21 observations were missing the number of units in the structure. The property tax assessor’s records provide a single dollar value for all properties included in the sale making it impossible to accurately allocate the total price paid when multiple properties are involved.
 
7
1975 was selected solely on the basis of the distribution of the observations. Very few prior sales were present in the data that were dated before 1975 (28 or 0.06%) so that the “left censoring” problem is minimized.
 
8
Units are classified as renter-occupied if the owner’s mailing address differs from the property address. This may incorrectly classify some second homes as renter occupied. However, 2000 Census data indicate that most second homes are classified as vacant units described as “For seasonal recreational or occasional use.” This group constitutes 0.54 percent of the total occupied stock in the City of Chicago (Tables H7 and H8, SF 3).
 
9
The TIF location variable is included because TIFs represent the principle tool used by local government to spur economic development in Chicago’s many blighted neighborhoods, and TIFs have been identified as influencing the appreciation rates for residential properties (Smith 2006).
 
10
The hedonic house price estimation results provided in the appendix are broadly consistent with numerous prior hedonic model estimations (see, for example, Thibodeau 1995). In particular, the regression model explains 63 percent of the variation in logged house prices. Moreover, the estimated coefficients on the square footage of the lot and living area are positive and highly significant. Unit age is negative and significant, as expected. However, contrary to most prior research, the square of unit age is also positive and statistically significant. This result likely reflects the unusual age (mean equal to 84 years) of the units in our Chicago sample.
 
11
For estimation of PREDPRICE, see Appendix.
 
12
The hazard ratio (j) is given by exp(xjbj) where bj is the coefficient of the Cox regression.
 
13
We thank a reviewer for focusing our attention on multiple interpretations of the relationship between residence value and owner longevity.
 
14
Casual evidence suggests that housing transactions have tended to increase over the sample period, reflecting the combined effects of appreciation and low cost financing. Our results are strongly consistent with this impression.
 
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Metadaten
Titel
Ownership Duration in the Residential Housing Market: The Influence of Structure, Tenure, Household and Neighborhood Factors
verfasst von
Wayne R. Archer
David C. Ling
Brent C Smith
Publikationsdatum
01.01.2010
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 1/2010
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-008-9126-2

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