Housing Renovations and the Quantile Repeat-Sales Price Index
AbstractA median-based quantile estimator suffers less bias from positive outliers, such as unobserved renovations, than a standard mean-based estimator. Quantile repeat-sales estimates for single-family homes in the city of Chicago show nominal price appreciation of 68.9% between 1993 and 2002, substantially smaller than the standard approach's estimate of 77.8%. Omitting observations with building permits reduces the mean and median-based estimates by 4.4 and 1.6 percentage points. The results imply that quality improvements account for much of the rapid rise in house prices, and that a median-based quantile estimator produces a more accurate view of the price performance of a typical house. Copyright 2006 American Real Estate and Urban Economics Association
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Bibliographic InfoArticle provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.
Volume (Year): 34 (2006)
Issue (Month): 4 (December)
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