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F. REY CARMONA ; J. Ma. CARIDAD Y OCERIN ;Revista de la Construcción 2013, 12 (2)

Autor: J. NÚÑEZ TABALES

Fuente: http://www.redalyc.org/


Introducción



Revista de la Construcción ISSN: 0717-7925 revistadelaconstruccion@uc.cl Pontificia Universidad Católica de Chile Chile NÚÑEZ TABALES, J.; REY CARMONA, F.; CARIDAD Y OCERIN, J.
Ma. Implicit Prices in Urban Real Estate Valuation Revista de la Construcción, vol.
12, núm.
2, noviembre, 2013, pp.
116-126 Pontificia Universidad Católica de Chile Santiago, Chile Available in: http:--www.redalyc.org-articulo.oa?id=127629284009 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Precios implícitos en Implicit Prices in Urban valoración inmobiliaria urbana Autores NÚÑEZ TABALES, J. University of Córdoba, Faculty of Economics Puerta Nueva s-n, 14071, Córdoba, Spain CARIDAD Y OCERIN, J.
Mª. University of Córdoba, Faculty of Economics Puerta Nueva s-n, 14071, Córdoba, Spain Fecha de aceptación Código interno RDLC 9-NUNEZ TABALE RdlC n2.indd 116 University of Córdoba, Faculty of Economics Puerta Nueva s-n, 14071, Córdoba, Spain es2nutaj@uco.es REY CARMONA, F. Fecha de recepción 116 ] Real Estate Valuation 19-6-2013 1-8-2013 0146 Revista de la Construcción Volumen 12 No 2 - 2013 20-11-13 16:38 Abstract Econometric hedonic models encounter several theoretical and practical difficulties when applied to the real estate market, such as downward biases in the estimation of hedonic prices, subjective decisions in the measurement process of categorical attributes, frontier problems related to an imperfect information framework and uniequational specification.
Many of these are linked to the parametric approach. Artificial Neural Networks (ANN) provide an attractive alternative: better dwelling prices estimates, avoidance of bias at different market segments, direct use of categorical data and full use of the inf...





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