ON NONPARAMETRIC ESTIMATION OF A HEDONIC PRICE FUNCTION
ON NONPARAMETRIC ESTIMATION OF A HEDONIC PRICE FUNCTION
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DOI：
10.1002/jae.1186
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发表时间：
2010-08-01
影响因子：
2.1
通讯作者：
Tschernig, Rolf
中科院分区：
文献类型：
--
作者：
Haupt, Harry;Schnurbus, Joachim;Tschernig, Rolf
最近，使用加拿大住房的混合数据，Parmeter，亨德森和Kumbhakar（Journal of Applied Econometrics 2007; 22：695-699）发现，估计享乐房价函数的非参数方法上级以前建议的参数和半参数规格。我们仔细地重新分析这些规格为这个数据集，通过应用最近的非参数规格测试和基于模拟的预测比较。对于有争议的情况下，我们的研究结果表明，以前提出的参数规格不被拒绝，我们说明了非参数方法如何在所有建模步骤提供有价值的见解。版权所有（C）2010约翰威利父子有限公司
Recently, using mixed data on Canadian housing, Parmeter, Henderson, and Kumbhakar (Journal of Applied Econometrics 2007; 22: 695-699) found that a nonparametric approach for estimating a hedonic house price function is superior to formerly suggested parametric and semipararnetric specifications. We carefully reanalyze these specifications for this dataset by applying a recent nonparametric specification test and simulation-based 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 (C) 2010 John Wiley & Sons, Ltd.