D. Harrison and D. Rubinfield, "Hedonic housing prices and the demand for clean air," Journal of Enviromental Economics and Management, vol. 5, pp. 81--102, 1978.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....and Linear Regression but not as well as K . Error Comparisons for Auto MPG 0 2 4 6 8 R R O R Error 6.57 1.89 2.57 2.65 2.93487 ZeroR K Neural Linear FURL Figure 5 Error Comparison for Auto mpg Dataset B. Boston Housing Dataset We also tested FURL on the Boston house price data [13, 14] and obtained results similar to those reported for the autompg dataset. FURL performed as well as K and had slightly higher error than both the Neural Network and Linear Regression. C. Mackey Glass Time series The Mackey Glass time series has 1500 data points; it is a chaotic time series based ....

D. Harrison and D. L. Rubinfeld, "Hedonic Housing Prices and the Demand for Clean Air," Journal of Environmental Economics and Management, vol. 5, pp. 81-102, 1978.

....similar results (Table 2) This demonstrates how the ecacy of the methods are dependent on product of the square rooted eigenvalues and the least squares estimates, not just on the absolute values of the eigenvalues, as is sometimes assumed. 4. 2 Boston Housing Data The Boston Housing Data of Harrison and Rubin eld (1978) is a well known benchmark test dataset. We use it to demonstrate that generalized ridge methods can again prove quick alternatives to BMA with good predictive power. We tested the predictive accuracy of the methods with ten fold cross validation, using the splits of Quinlan (1993) In each case ....

Harrison, D. and Rubineld, D.L. (1978) Hedonic housing prices and the demand for clean air. J. Environ. Econ. Manag., 5, 81-102.

....,# 3 ) with lighter shaded regions closer to 1. The # k estimates for the lower left, upper middle, and lower right basis function are 8.85, 9.80, and 10.92. 6 2. 5 Boston housing Following Li (1997) I examined a low crime rate subset of 374 census tracts from the Boston housing data [source: Harrison Rubinfeld (1978), Breiman Friedman (1985) Here y is the log median housing price per census tract and x consists of the remaining 13 variables. Ten fold cross validation indicates that the ALB L 2 estimator accounts for 89 of the variance of y; i.e. the predictive squared error risk estimate divided by the ....

D. Harrison & D. L. Rubinfeld (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management, 5, 81--102.

....housing, and property value modules will create a richer and more realistic microsimulation model. Endnotes 1 Studies included Bender and Hwang (1985) Berger, et al. 1988) Benson, et al. 1998) Cobb (1984) Cheshire and Sheppard (1995) Gamble and Downing (1982) Geoghegan, et al. 1997) Harrison and Rubinfeld (1978), Izraeli (1987) Nelson (1981) Palmquist (1984) Palmquist et al. (1995) Tiwari and Turner (1998) and Wigren (1984) 2 See Oskamp (1997) for an example of a housing microsimulation model. 3 The property value hedonic equations could make an indirect contribution to the microsimulation model ....

Harrison, D. Jr., and D. L. Rubinfeld. 1978. Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management 5: 81-102.

....an extreme outlier which turned out to be the right decision for that particular case. should become zero since the outlier does not contribute at all to improving the estimate of the hyperparameter in this situation. Experiment 2: Boston Housing Data The Boston housing data originates with Harrison and Rubinfeld (1978) who were interested in the effect of air pollution on housing prices. Although Harrison Rubinfeld s original focus was to obtain insight into factors affecting price, rather than to make predictions, the goal here is to derive accurate predictions on the housing prices based on certain ....

Harrison, D. and L. Rubinfeld (1978). Hedonic housing prices and the demand for clean air.

....model. There are many other one dimensional smoothing models specifically designed for the purpose which are adequate. We believe that the BPM is much more suited to problems where there are many more predictors. 3.2. 2 Regression of Boston house prices The Boston housing data was introduced by Harrison and Rubinfeld (1978) in their paper on hedonic house price indices. It has come to serve as a benchmark regression problem that has been used in a number of studies on nonlinear models (Quinlan, 1993; Holmes and Mallick, 1998b) and is available from Statlib at http: lib.stat.cmu.edu. The regression problem is to ....

J., 21, 168-173. Harrison, D. and Rubinfeld, D. L. (1978) Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. vol 5, pp. 81-102.

....function are likely to be real or spurious. The full dataset consists of the median value of homes in 506 census tracts in the Boston Standard Metropolitan Statistical Area in 1970 and 13 accompanying socio demographic and related variables. It was originally studied in Harrison and Rubinfeld [15], who estimated a marginal willingness to pay model for 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 0 10 20 30 40 density n=200 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 0 10 20 30 40 ASE density n=500 Figure 3: Densities of the Average Squared Error at five correlation levels. ....

.... value of owner occupied homes (in 000) RM: average number of rooms in owner unit, TAX: full property tax rate ( 10,000) PTRATIO: pupil teacher ratio by town school district, LSTAT: proportion of population that is of lower status ( which are further defined in Harrison and Rubinfeld [15]. 2 4 6 8 10 20 10 0 10 20 30 RM MV (centered) 2.2 2.4 2.6 2.8 3 20 10 0 10 20 30 log(TAX) 10 15 20 25 20 10 0 10 20 30 PTRATIO MV (centered) 0 0.5 1 1.5 2 20 10 0 10 20 30 log(LSTAT) Figure 5: Scatterplots of the Boston Housing data In an original application of the algorithm to ....

D. Harrison and D. L. Rubinfeld. Hedonic housing prices and the demand for clean air. Journal of Economics and Management, 5:81--102, 1978.

....model. There are many other one dimensional smoothing models specifically designed for the purpose which are adequate. We believe that the BPM is much more suited to problems where there are many more predictors. 3.1. 2 Regression of Boston house prices The Boston housing data was introduced by Harrison and Rubinfeld (1978) in their paper on hedonic house price indices. It has come to serve as a benchmark regression problem that has been used in a number of studies on nonlinear models (Quinlan, 1993; Holmes and Mallick, 1998b) and is available from Statlib at http: lib.stat.cmu.edu. The regression problem is to ....

J., 21, 168-173. Harrison, D. and Rubinfeld, D. L. (1978) Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management. vol 5, pp. 81-102.

....The linear least squares regression of Omega Gamma1=2 y on Omega Gamma1=2 X fl , with (fl; fl M ; M ) produced well behaved residuals with an R 2 = 0:94, compared with an R 2 = 0:895 for the non robust Bayesian fit. A least squares fit using the linear regression model in Harrison and Rubinfeld (1978) gave an R 2 = 0:73, while the robust linear estimate of Harrison and Rubinfeld (1978) has a (weighted) R 2 = 0:80. The ACE analysis given by Breiman and Friedman (1985) produced an R 2 = 0:89. This comparison of R 2 values for the various methods is only a rough measure of their relative ....

....fl , with (fl; fl M ; M ) produced well behaved residuals with an R 2 = 0:94, compared with an R 2 = 0:895 for the non robust Bayesian fit. A least squares fit using the linear regression model in Harrison and Rubinfeld (1978) gave an R 2 = 0:73, while the robust linear estimate of Harrison and Rubinfeld (1978) has a (weighted) R 2 = 0:80. The ACE analysis given by Breiman and Friedman (1985) produced an R 2 = 0:89. This comparison of R 2 values for the various methods is only a rough measure of their relative performance; it does not take into account that the Bayesian estimates condition on fl ....

Harrison, D. and D.L. Rubinfeld , 1978, Hedonic housing prices and demand for clean air.

....R. Kelley Pace, On the Harrison and Rubinfeld Data, Journal of Environmental Economics and Management, 31 (1996) 403 405. Academic Press holds the copyright and has granted us permission to distribute this copy. 2 P##ur#Ch. v# v# H H H H H H v# 6H I. Introduction In a well known paper, Harrison and Rubinfeld (1978) investigated various methodological issues related to the use of housing data to estimate the demand for clean air. They illustrated their procedures using data from the Boston SMSA with 506 observations (one observation per census tract) on 14 non constant independent variables. These variables ....

Harrison, David, and Daniel L. Rubinfeld, "Hedonic Housing Prices and the Demand for Clean Air," Journal of Environmental Economics and Management, Volume 5, p. 81-102, 1978.

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D. Harrison and D. Rubinfield, "Hedonic housing prices and the demand for clean air," Journal of Enviromental Economics and Management, vol. 5, pp. 81--102, 1978.

No context found.

Harrison, D. and Rubinfeld, D.L. (1978), "Hedonic Housing Prices and the Demand for Clean Air," Journal of Environmental Economics and Management, 5, 81-102.

No context found.

Harrison, D. and Rubinfeld, D.L. (1978), "Hedonic Housing Prices and the Demand for Clean Air," Journal of Environmental Economics and Management, 5, 81-102.

No context found.

D. Harrison and D. L. Rubinfeld. Hedonic housing prices and the demand for clean air. Journal of Economics and Management, 5:81--102, 1978.

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