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An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling

Author

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  • Liv Osland

    () (Stord/Haugesund University College)

Abstract

This paper applies spatial econometrics in relation to hedonic house price modelling. We present and use some basic acknowledged spatial model alternatives and a battery of relevant tests. Geographically weighted regression, semiparametric analysis, and the mixed spatial Durbin model are also applied. The purpose is to detect missing spatial variables, misspecified functional form and spatial heterogeneity in estimated parameters. Such misspecifications have been shown to give spurious results in relation to some frequently used directional based tests. We achieve significant model improvement, so the paper should be of general interest as an example of practical econometric modelling within the field.

Suggested Citation

  • Liv Osland, 2010. "An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling," Journal of Real Estate Research, American Real Estate Society, vol. 32(3), pages 289-320.
  • Handle: RePEc:jre:issued:v:32:n:3:2010:p:289-320
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    Cited by:

    1. repec:eee:jaitra:v:67:y:2018:i:c:p:103-114 is not listed on IDEAS
    2. Qin Fan & J. Andrew Hansz & Xiaoming Yang, 2016. "The Pricing Effects of Open Space Amenities," The Journal of Real Estate Finance and Economics, Springer, vol. 52(3), pages 244-271, April.
    3. Sander Hoogendoorn & Joost van Gemeren & Paul Verstraten & Kees Folmer, 2016. "House prices and accessibility: Evidence from a natural experiment in transport infrastructure," CPB Discussion Paper 322, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Dennis Sánchez-Navarro, 2012. "Una propuesta metodológica para la definición de mercados geográficos relevantes," ESTUDIOS ECONÓMICOS SIC 010492, SUPERINTENDENCIA DE INDUSTRIA Y COMERCIO.
    5. Yue Zhang & Robert G. Cromley & Dean M. Hanink, 2016. "A spatial hedonic model application of variance function regression to residential property prices in Beijing," Letters in Spatial and Resource Sciences, Springer, vol. 9(1), pages 93-101, March.
    6. Masha Maslianskaia-Pautrel & Catherine Baumont pba148, 2016. "The nature and impacts of environmental spillovers on housing prices: A spatial hedonic analysis," Working Papers 2016.04, FAERE - French Association of Environmental and Resource Economists.
    7. Hansen, Winslow D. & Naughton, Helen T., 2013. "The effects of a spruce bark beetle outbreak and wildfires on property values in the wildland–urban interface of south-central Alaska, USA," Ecological Economics, Elsevier, vol. 96(C), pages 141-154.
    8. ., 2012. "A bridge over troubled waters: valuing accessibility effects of a new bridge," Chapters,in: Accessibility Analysis and Transport Planning, chapter 10, pages 173-192 Edward Elgar Publishing.
    9. Gjestland, Arnstein & McArthur, David Philip & Osland, Liv & Thorsen, Inge, 2014. "The suitability of hedonic models for cost-benefit analysis: Evidence from commuting flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 136-151.
    10. Yunlong Gong & Peter Boelhouwer & Jan de Haan, 2014. "Spatial Dependence in House Prices: Evidence from China's Interurban Housing Market," ERSA conference papers ersa14p448, European Regional Science Association.
    11. repec:kap:jgeosy:v:20:y:2018:i:1:d:10.1007_s10109-017-0257-y is not listed on IDEAS
    12. repec:eee:jhouse:v:37:y:2017:i:c:p:67-83 is not listed on IDEAS
    13. Macfarlane, Gregory S. & Garrow, Laurie A. & Moreno-Cruz, Juan, 2015. "Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 214-230.
    14. repec:spr:anresc:v:60:y:2018:i:1:d:10.1007_s00168-017-0846-1 is not listed on IDEAS
    15. Román Mínguez & José-María Montero & Gema Fernández-Avilés, 2013. "Measuring the impact of pollution on property prices in Madrid: objective versus subjective pollution indicators in spatial models," Journal of Geographical Systems, Springer, vol. 15(2), pages 169-191, April.
    16. Ignacio Lozano-Espitia & Diana Ricciulli-Marin, 2017. "¿Está Afectando el Impuesto Predial el Precio de la Vivienda en Bogotá? Un Análisis Basado en la Econometría Espacial," Borradores de Economia 1016, Banco de la Republica de Colombia.
    17. Özyurt, Selin, 2014. "Spatial dependence in commercial property prices: micro evidence from the Netherlands," Working Paper Series 1627, European Central Bank.
    18. repec:eee:regeco:v:68:y:2018:i:c:p:36-45 is not listed on IDEAS
    19. Yunlong Gong & Peter Boelhouwer & Jan de Haan, 2016. "Interurban house price gradient: Effect of urban hierarchy distance on house prices," Urban Studies, Urban Studies Journal Limited, vol. 53(15), pages 3317-3335, November.
    20. Arnstein Gjestland & David McArthur & Liv Osland & Inge Thorsen, 2011. "Relationships between housing prices and commuting flows," ERSA conference papers ersa10p906, European Regional Science Association.
    21. repec:eee:jotrge:v:68:y:2018:i:c:p:215-223 is not listed on IDEAS
    22. López-Hernández , Fernando A. & Artal-Tur, Andrés & Maté-Sánchez-Val, M. Luz, 2011. "Identifying nonlinear spatial dependence patterns by using non-parametric tests: Evidence for the European Union," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 19-36.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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