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Estimation of implicit prices in hedonic price models: Flexible parametric versus additive nonparametric approach.

机译:享乐价格模型中的隐式价格估计:灵活的参数与加法非参数方法。

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摘要

This thesis contains two essays that use state-of-the-art econometric methods to estimate the implicit prices of various housing and vehicle attributes in hedonic price analysis. The additive nonparametric regression proposed by Hastie and Tibshirani (1990) is applied to capture a series of nonlinearities relating prices to their attributes that cannot be captured by conventional parametric approach. Due to its additive structure, the additive nonparametric regression retains an important interpretative feature of the linear model and avoids the drawbacks of a fully nonparametric design such as slow rates of convergence and the "curse of dimensionality." The "benchmark" parametric specification for the hedonic price function is carefully chosen via the estimation of the Box and Cox (1964) and Wooldridge (1992) transformations. The additive nonparametric model provides smaller price prediction errors than the benchmark parametric specification in standard goodness of fit measures.;The first study examines the effects on housing prices of the structural and environmental attributes using residential sales data from Portland, Oregon. The overall estimation results verify that most housing attributes that are generally linked to the perception of quality, such as larger total structure square footage and higher elevation, have significant positive implicit prices. Attributes that reduce house quality, such as age of house and distance to environmental amenities, discount the value of a house. Complex price effects of various housing attributes are revealed by the additive nonparametric regression.;The second study uses a hedonic price approach to estimate the effects on used car prices of vehicle emission attributes, such as hydrocarbon and carbon monoxide emissions, using data from the Vehicle Inspection Program in Portland, Oregon. The estimation results show that used car value is on average higher for vehicles with lower hydrocarbon and carbon monoxide emissions, ceteris paribus. This empirical finding is consistent with recent reports from the U.S. Environmental Protection Agency, which indicate that used vehicles failing to pass required emission tests face potentially high repair costs and frequent smog-check requirements. More cylinder and larger engine size are highly valued. Higher mileage receives relatively little discount compared to age of vehicle.
机译:本文包含两篇文章,它们使用最新的计量经济学方法来估计享乐价格分析中各种住房和车辆属性的隐性价格。 Hastie和Tibshirani(1990)提出的加性非参数回归被用于捕获一系列非线性,这些非线性将价格与它们的属性相关联,这是常规参数方法无法捕获的。由于其加法结构,加法非参数回归保留了线性模型的重要解释功能,并且避免了完全非参数设计的缺点,例如收敛速度慢和“维数诅咒”。通过对Box和Cox(1964)和Wooldridge(1992)转换的估计,可以谨慎地选择享乐价格函数的“基准”参数规范。在标准拟合优度方面,加性非参数模型提供的价格预测误差比基准参数规范小。;第一项研究使用俄勒冈州波特兰市的住宅销售数据检验了结构和环境属性对房价的影响。总体估算结果证实,通常与质量感知相关的大多数房屋属性(例如,较大的总建筑面积和较高的标高)具有显着的正隐性价格。降低房屋质量的属性(例如房屋的年龄和与环境便利设施的距离)降低了房屋的价值。可加性非参数回归揭示了各种住房属性的复杂价格效应。;第二项研究使用享乐主义价格方法,使用来自汽车的数据,估算了诸如碳氢化合物和一氧化碳排放等汽车排放属性对二手车价格的影响。俄勒冈州波特兰市的检查计划。估算结果表明,对于碳氢化合物和一氧化碳排放较低的车辆,二手车的平均价值较高。这一经验发现与美国环境保护署的最新报告一致,该报告表明,未通过所需排放测试的二手车面临着潜在的高昂维修成本和频繁的烟雾检查要求。更多的气缸和更大的发动机尺寸受到高度重视。与车辆使用年限相比,较高的行驶里程获得的折扣相对较少。

著录项

  • 作者

    Bin, Okmyung.;

  • 作者单位

    Oregon State University.;

  • 授予单位 Oregon State University.;
  • 学科 Economics General.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;
  • 关键词

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