## Abstract Rosen's (1974) theory of hedonic prices is implemented econometrically using recently developed nonparametric techniques to examine the influence of qualitative factors on the price of a house. Our ability to smooth categorical variables leads to greater generalization in the valuation
On nonparametric estimation of a hedonic price function
β Scribed by Professor Harry Haupt; Joachim Schnurbus; Rolf Tschernig
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 194 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.1186
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Recently, using mixed data on Canadian housing, Parmeter, Henderson, and Kumbhakar (Journal of Applied Econometrics 2007; 22: 695β699) found that a nonparametric approach for estimating a hedonic house price function is superior to formerly suggested parametric and semiparametric specifications. We carefully reanalyze these specifications for this dataset by applying a recent nonparametric specification test and simulationβbased prediction comparisons. For the case at issue our results suggest that a previously proposed parametric specification does not have to be rejected and we illustrate how nonparametric methods provide valuable insights during all modeling steps. Copyright Β© 2010 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
Previous work on the preferred specification of hedonic price models usually recommended a Box-Cox model. In this paper we note that any parametric model involves implicit restrictions and they can be reduced by using a semiparametric model. We estimate a benchmark parametric model which passes seve
## Abstract In diseases caused by a deleterious gene mutation, knowledge of ageβspecific cumulative risks is necessary for medical management of mutation carriers. When pedigrees are ascertained through at least one affected individual, ascertainment bias can be corrected by using a parametric meth
The paper considers the problem of estimating the dependence function of a bivariate extreme survival function with standard exponential marginals. Nonparametric estimators for the dependence function are proposed and their strong uniform convergence under suitable conditions is demonstrated. Compar