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Ranking multicriterio de viviendas: una adaptación del modelo de precio único/Housing Multicriteria Ranking: A Single Price Model Adaptation

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    (Departamento de Economía y Ciencias Sociales. UNIVERSIDAD POLITÉCNICA DE VALENCIA.)



    (Departamento de Economía y Ciencias Sociales. UNIVERSIDAD POLITÉCNICA DE VALENCIA.)



    (Departamento de Economía y Ciencias Sociales. UNIVERSIDAD POLITÉCNICA DE VALENCIA.)

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    Este trabajo presenta la aplicación del modelo multicriterio de precio único para elaborar un ranking total de viviendas. Realizando una adaptación de este modelo, se caracteriza el conjunto de viviendas en equilibrio desde la perspectiva del oferente y la perspectiva del demandante, y a partir del mismo se calcula un índice de eficiencia de las viviendas con el que construir el ranking. Se demuestra cómo, en una situación de equilibrio, ambas perspectivas conducen necesariamente a jerarquizaciones inversas. Frente a otras propuestas de ranking total, la utilizada en este trabajo (i) asume una actitud moderada por parte del decisor formulada mediante una base axiomática robusta, (ii) proporciona el peso de los criterios independientemente de la vivienda evaluada y de la actitud optimista o pesimista del decisor, y (iii) requiere un coste computacional mínimo. El modelo se ilustra sobre una muestra de viviendas situadas en la ciudad de Valencia. This paper presents the single price multicriteria model applied in order to develop a full ranking of housings. With the application of this model we characterize the set of flats in equilibrium from both the seller and buyer views. Thus we are able to calculate an efficiency index in order to fully rank the flats. It states how in an equilibrium situation both views lead necessarily to inverse rankings. Opposite to other full ranking proposals, our methodology (i) assumes a moderately attitude on behalf of the decision-maker, formulated by means of a strong axiomatic approach, (ii) provides a weight for the criteria regardless of the evaluated housing and the optimistic or pessimistic attitude of the decision-maker and (iii) requires a minimum computational cost. The model is illustrated by a housing sample located in Valencia (Spain).

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    Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

    Volume (Year): 28 (2010)
    Issue (Month): (Diciembre)
    Pages: 693(22á.)-693(22á.)

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    Handle: RePEc:lrk:eeaart:28_3_12
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    Beatriz Rodríguez Prado. Facultad de CC.EE. y EE. Avda. Valle del Esgueva. Valladolid 47011 SPAIN

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Ballestero, Enrique, 1999. "Measuring efficiency by a single price system," European Journal of Operational Research, Elsevier, vol. 115(3), pages 616-623, June.
    3. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Salá Rios, Mercè, 2004. "Análisis territorial de la accesibilidad a la vivienda en España," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-21, Diciembre.
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