## 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 semiparametri
Nonparametric estimation of a hedonic price function
β Scribed by Christopher F. Parmeter; Daniel J. Henderson; Subal C. Kumbhakar
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 73 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.929
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β¦ Synopsis
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 process and provides a canvas for interactions between categorical and continuous variables that is difficult to exploit in parametric and semiparametric models. This is illustrated with a replication of a previously used partially linear model specification. Copyright Β© 2007 John Wiley & Sons, Ltd.
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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
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