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A cross‐sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions

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  • Bernard Fingleton

Abstract

. This article examines the distribution of residential property prices in 2001 across local areas in England using spatial econometric methods, showing that spatial variations in local income, income within commuting distance, the stock of residential properties and the quality of local schooling have significant effects. The residual spatial variation due to unknown factors is modelled by a proxy variable, but this does not rule out a significant spatial lag. The article argues that this represents endogenous interaction of property price levels between neighbouring areas, which is interpreted as the outcome of local market knowledge and preference, which produces greater price similarity between an area and its neighbours than one would anticipate from the levels of the exogenous price determinants.

Suggested Citation

  • Bernard Fingleton, 2006. "A cross‐sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions," Papers in Regional Science, Wiley Blackwell, vol. 85(3), pages 339-361, August.
  • Handle: RePEc:bla:presci:v:85:y:2006:i:3:p:339-361
    DOI: 10.1111/j.1435-5957.2006.00089.x
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    Cited by:

    1. David Butler & Robert Butler & Justin Doran & Sean O’Connor, 2018. "Explaining international footballer selection through Poisson modelling," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(2), pages 296-306, May.
    2. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    3. Thomas Vanoutrive, 2011. "Making maps in word and powerpoint Why do regional scientists not draw conclusions?," ERSA conference papers ersa10p882, European Regional Science Association.
    4. Gordon L. Clark & Stephen Almond & Kendra Strauss, 2012. "The Home, Pension Savings and Risk Aversion: Intentions of the Defined Contribution Pension Plan Participants of a London-based Investment Bank at the Peak of the Bubble," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1251-1273, May.
    5. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    6. Nguyen-Hoang, Phuong & Yinger, John, 2011. "The capitalization of school quality into house values: A review," Journal of Housing Economics, Elsevier, vol. 20(1), pages 30-48, March.
    7. Alexander W. Marré & Anil Rupasingha, 2020. "School quality and rural in‐migration: Can better rural schools attract new residents?," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 156-173, January.
    8. Yang, Ziqi & Li, Xinghua & Guo, Yuntao & Qian, Xinwu, 2023. "Understanding active transportation accessibility's impacts on polycentric and monocentric cities' housing price," Research in Transportation Economics, Elsevier, vol. 98(C).
    9. Bruce Morley & Dennis Thomas, 2011. "Risk-return relationships and asymmetric adjustment in the UK housing market," Applied Financial Economics, Taylor & Francis Journals, vol. 21(10), pages 735-742.
    10. Chau‐Sa Ho & Diane Hite, 2008. "The benefit of environmental improvement in the southeastern United States: Evidence from a simultaneous model of cancer mortality, toxic chemical releases and house values," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 589-604, November.
    11. Andrea De Montis & Simone Caschili & Daniele Trogu, 2014. "Spatial organization and accessibility: a study of US counties," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 6, pages 113-132, Edward Elgar Publishing.
    12. Liv Osland & Kenneth Gibb & Gwilym Pryce, 2011. "Inequalities in Access to Employment and the Impact on Wellbeing: A Criterion for Spatial Planning?," ERSA conference papers ersa10p717, European Regional Science Association.
    13. Chao Zhang & Mimi Xiong & Xuehui Wei & Zongmin Lan, 2023. "Spatial heterogeneity of marginal willingness to pay for air quality in PM2.5: analysis of buyers’ housing price in Beijing through hedonic price, spatial regression, and quantile regression models," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 697-720, September.
    14. Sylvia Y He, 2017. "A hierarchical estimation of school quality capitalisation in house prices in Orange County, California," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3337-3359, November.

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