Hedonic housing prices and the demand for clean air

By D. Harrison, D. Rubinfeld. 1978

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Citations in the corpus

Supervised Dimensionality Reduction via Distance Correlation Maximization (2016, background): “(a) Boston Housing (Harrison and Rubinfeld, 1978): This dataset contains information collected by the U.”
Visualizable and interpretable regression models with good prediction power (2007, methodology): “After transforming some variables to satisfy normal-theory assumptions, Harrison and Rubinfeld (1978) obtained the fitted model shown in Table 2.”
Efficient Empirical Bayes Variable Selection and Estimation in Linear Models (2005, methodology): “The Boston housing dataset concerns housing values in the suburbs of Boston (Harrison and Rubinfeld 1978), with 13 predictors collected to predict the median value of owner-occupied homes.”
Migration and Hedonic Valuation: The Case of Air Quality (2006, background): “3 air quality.2 Fourth, a long literature, dating back to Ridker and Henning (1967) and Harrison and Rubinfeld (1978), has used hedonic methods to value air quality (see Smith and Huang (1995) for a metaanalysis).”
Optimizing Millions of Hyperparameters by Implicit Differentiation (2019, methodology): “Thus, we use a linear network on the Boston housing dataset [49], which makes finding the best-response w∗ and inverse training Hessian feasible.”
VARIABLE SELECTION IN QUANTILE REGRESSION (2009, background): “The proof follows directly using the results of Knight (1999). Further details of all proofs are provided in the on-line supplement materials at http://www.”
A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020, unknown): “…or municipal services (Clauretie & Neill, 2000; Hayes & Taylor, 1996; Jud & Watts, 1981; Downes & Zabel, 2002; Huh & Kwak, 1997), and externalities such as crime rates (Thaler, 1978), noise (Wilhelmsson, 2000; Williams, 1991; Espey & Lopez, 2000), and air pollution (Harrison & Rubinfeld, 1978).”
Intangible resources, Tobin's q, and sustainability of performance differences (2004, background): “The approach, then, is a corporate version of thehedonic price regressions used in other contexts to value intangible goods such as car quality (Court, 1939; Griliches, 1961), clean air (Harrison and Rubinfeld, 1978), or other product differentiation attributes (Rosen, 1974; Epple, 1987).”
The Eﬀects of Data Quality on Machine Learning Performance (2022, methodology): “The Houses dataset was created as a modern replacement of the widely used but outdated Boston Housing dataset [31].”
Errors in variables and spatial effects in hedonic house price models of ambient air quality (2008, background): “Originating with the classic studies of Ridker and Henning (1967) and Harrison and Rubinfeld (1978), it has generated a voluminous literature dealing with theoretical, methodological and empirical aspects.”
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (2004, methodology): “We apply this kernel-based method of variable selection to the Boston Housing data (Harrison and Rubinfeld, 1978) and the Ozone data (Breiman and Friedman, 1985), which have been often used as testbed examples for variable selection.”
pdp: An R Package for Constructing Partial Dependence Plots (2017, unknown): “One of their goals was to ﬁnd a housing value equation using data on median home values from n = 506 census tracts in the suburbs of Boston from the 1970 census; see Harrison and Rubinfeld (1978, Table IV) for a description of each variable.”