A Bayesian approach to hedonic price analysis

type="main" xml:lang="es"> Dos objetivos importantes en el analisis de precios hedonicos son la prediccion de los precios de venta y la delimitacion de submercados basada en consideraciones geograficas y funcionales. Para hacer frente a estos objetivos, en este articulo se han aplicado modelos bayesianos con coeficientes espacialmente variables para realizar un analisis de los precios de venta de la vivienda en la ciudad de Toronto (Ontario). Se evaluo el desempeno del modelo y se determinaron los patrones de los submercados indicados por los procesos de coeficiente espacial. Los resultados muestran que los modelos de proceso espacial bayesiano predicen bien los precios de venta de viviendas, proporcionan inferencias utiles con respecto a la heterogeneidad de precios dentro de un mercado, y pueden especificarse de modo que incluyan las opiniones de los expertos del mercado.

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