This work stems from the widely accepted hypothesis that housing price is determined by two types of characteristic: structural and locational. Under this hypothesis, a methodology is presented for the spatial estimation of housing prices and locational rents: the Iterative Residual Kriging (IRK) method. The methodological aspects are complemented by the presentation of an application of this methodology to the case of housing in Granada, Spain.
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References
1.
Anselin L. (1988) Spatial Econometrics: Methods and Models. Kluwer Academic Publishers.
2.
Can, A. ( 1990) The measurement of neighborhood dynamics in urban house prices, Economic Geography, 66, pp. 254-272.
3.
Can, A. ( 1992) Specification and estimation of hedonic housing price models, Regional Science and Urban Economics, 22, pp. 453-474.
4.
Chica Olmo, J. (1992) Adecuación de la TVR al análisis de variables ecónomicas espaciales. Aplicación al precio de la vivienda en la ciudad de Granada. Doctoral thesis.
5.
Christensen, R. (1987) Plane Answers to Complex Questions: The Theory of Linear Models. New York: Springer- Verlag.
6.
Cressie, N. (1991) Statistics for Spatial Data. John Wiley & Sons.
7.
Dubin, R.A. and Sung, C.-H. (1987) Spatial variation in the price of housing: rent gradients in non-monocentric cities, Urban Studies, 24, pp. 193-204.
8.
Dubin, R.A. (1992) Spatial autocorrelation and neighborhood quality , Regional Science and Urban Economics, 22, pp. 433-452.
9.
Jackson, J.R. (1979) Intra-urban variation in the price of housing, Journal of Urban Economics, 6, pp. 464-479.
10.
Journel, A. and Huijbregts, C.H. (1991) Mining Geoestatistics. London: Academic Press.
11.
Matheron, G. (1965) Les variables regionalis'ees et leur estimation . Paris: Masson y Cie.
12.
Matheron, G. (1970) La Théorie des variables regiona lisées et ses applications. Centre de Geostatisti que et de Morphologie Mathematique. Fas. 1, Ecole Nationale Superieure de Mines de Paris.
13.
Neuman, S.P. and Jacobson, E.A. (1984) Analysis of non-intrinsic spatial variability by residual Kriging with application to regional groundwater levels, MathematicalGeology, 16, pp. 499-521.
14.
Ripley, B.D. (1981) Spatial Statistics. John Wiley & Sons.
15.
Upton, G. and Fingleton, B. (1990) Spatial Data Analysis By Example. John Wiley & Sons.
