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How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece

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  • Efthymiou, D.
  • Antoniou, C.

Abstract

The interaction between land use and transportation infrastructure is a topic that has been extensively researched and continues to be of interest as new underlying economic, infrastructure and environmental conditions emerge. In this research, the direct and indirect effects of transportation infrastructure and policies on house prices and rents are studied. Since real estate transaction data are not available, a web-scraping tool was developed to parse house prices and attributes from publicly available resources. Econometric models of two categories were then estimated: (1) hedonic price models, based on Ordinary Least Squares (OLS) and (2) spatial econometric models, such as the spatial regression model (SAR), spatial error (SEM), Durbin (SDM) and autocorrelation (SAC) model and Geographically Weighted Regression (GWR), which are increasingly used by econometricians in order to capture the effect of the – usually unobserved – spatial factors on house valuation.

Suggested Citation

  • Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
  • Handle: RePEc:eee:transa:v:52:y:2013:i:c:p:1-22 DOI: 10.1016/j.tra.2013.04.002
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    Cited by:

    1. Jingfeng Yuan & Xiaodan Zheng & Jia You & Mirosław J. Skibniewski, 2017. "Identifying Critical Factors Influencing the Rents of Public Rental Housing Delivery by PPPs: The Case of Nanjing," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-22, February.
    2. Marcin Torzewski, 2016. "The analysis of the impact of the Warsaw metro stations location on residential property prices in Ursynów district in Warsaw (Analiza wplywu lokalizacji stacji metra warszawskiego na ceny mieszkan na," Research Reports, University of Warsaw, Faculty of Management, vol. 1(20), pages 145-155.
    3. Mitra, Suman K. & Saphores, Jean-Daniel M., 2016. "The value of transportation accessibility in a least developed country city – The case of Rajshahi City, Bangladesh," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 184-200.
    4. 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.
    5. Andersson, Matts & Dehlin, Fredrik & Jörgensen, Peter & Pädam, Sirje, 2015. "Wider economic impacts of accessibility: a literature survey," Working papers in Transport Economics 2015:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

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