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A Bayesian approach to hedonic price analysis

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Listed:
  • David C. Wheeler
  • Antonio Páez
  • Jamie Spinney
  • Lance A. Waller

Abstract

type="main" xml:lang="es"> Dos objetivos importantes en el análisis de precios hedónicos son la predicción de los precios de venta y la delimitación de submercados basada en consideraciones geográficas y funcionales. Para hacer frente a estos objetivos, en este artículo se han aplicado modelos bayesianos con coeficientes espacialmente variables para realizar un análisis de los precios de venta de la vivienda en la ciudad de Toronto (Ontario). Se evaluó el desempeño 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 útiles 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.

Suggested Citation

  • David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
  • Handle: RePEc:bla:presci:v:93:y:2014:i:3:p:663-683
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