Luc Anselin and Nancy Lozano-Gracia 1247Case, B., J. Clapp, R. Dubin and M. Rodriguez (2004) Modeling spatial and temporal house
price patterns: a comparison of four models.Journal of Real Estate Finance and Economics
29 (2), 167–91.
Casetti, E. (1972) Generating models by the expansion method: applications to geographical
research.Geographical Analysis 4 , 81–91.
Casetti, E. (1997) The expansion method, mathematical modeling, and spatial econometrics.
International Regional Science Review 20 , 9–33.
Chay, K.Y. and M. Greenstone (2005) Does air quality matter? Evidence from the housing
market.Journal of Political Economy 113 (2), 376–424.
Cho, S., J. Bowker and W. Park (2006) Measuring the contribution of water and green space
amenities to housing values: an application and comparison of spatially weighted hedonic
models.Journal of Agricultural and Resource Economics 31 (3), 485–507.
Clapp, J., H.-J. Kim and A. Gelfand (2002) Predicting spatial patterns of house prices using
LPR and Bayesian smoothing.Real Estate Economics 30 , 79–105.
Cleveland, W.S. and S.J. Devlin (1988) Locally weighted regression: an approach to regression
analysis by local fitting.Journal of the American Statistical Association 83 , 596–610.
Conley, T.G. (1999) GMM estimation with cross-sectional dependence.Journal of Econometrics
92 , 1–45.
Cressie, N. (1993)Statistics for Spatial Data. Wiley InterScience.
Cropper, M.L., L.B. Decl and K.E. McConnell (1988) On the choice of functional form for
hedonic price functions.Review of Economic and Statistics 70 , 668–75.
Das, D., H.H. Kelejian and I.R. Prucha (2003) Finite sample properties of estimators of
spatial autoregressive models with autoregressive disturbances.Papers in Regional Science
82 , 1–27.
Day, B., I. Bateman and I. Lake (2004) Nonlinearity in hedonic price equations: an estimation
strategy using model-based clustering. Working Paper, Centre for Social and Economic
Research of the Global Environment, University of East Anglia.
Day, B., I. Bateman and I. Lake (2007) Beyond implicit prices: recovering theoretically con-
sistent and transferable values for noise avoidance from a hedonic property price model.
Environmental and Resource Economics 37 , 211–32.
Deaton, A. and J. Muellbauer (1980)Economics and Consumer Behavior. Cambridge: Cambridge
University Press.
Donovan, G.H., P.A. Champ and D.T. Butry (2007) Wildfire risk and housing prices: a case
study from Colorado Springs.Land Economics 83 (3), 217–33.
Dubin, R.A. (1988) Estimation of regression coefficients in the presence of spatially autocor-
related errors.Review of Economics and Statistics 70 , 466–74.
Dubin, R.A. (1992) Spatial autocorrelation and neighborhood quality.Regional Science and
Urban Economics 22 , 433–52.
Dubin, R.A. (1998) Predicting house prices using multiple listings data.Journal of Real Estate
Finance and Economics 17 (1), 35–59.
Dubin, R., R. Kelley Pace and T.G. Thibodeau (1999) Spatial autoregression techniques for
real estate data.Journal of Real Estate Literature 7 , 79–95.
Ekeland, I., J.J. Heckman and L. Nesheim (2004) Identification and estimation of hedonic
models.Journal of Political Economy 112 (1), S60–109.
Farber, S. and M. Yeates (2006) A comparison of localized regression models in a hedonic
house price context.Canadian Journal of Regional Science 29 (3), 405–19.
Fik, T., D. Ling and G. Mulligan (2003) Modeling spatial variation in housing prices: a variable
interaction approach.RealEstate Economics 31 (4),623–46.
Florax,R.J., H. Folmer and S.J. Rey (2003) Specification searches in spatial econometrics: the
relevance of Hendry’s methodology.Regional Science and Urban Economics 33 (5), 557–79.
Fotheringham, A., C. Brunsdon and M. Charlton (1998) Geographically weighted regression:
a natural evolution of the expansion method for spatial data analysis.Environment and
Planning A 30 , 1905–27.