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The Impact of a Mass Rapid Transit System on Neighborhood Housing Prices: An Application of Difference-In-Difference and Spatial Econometrics

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  • Chun-Chang Lee

    (National Pingtung University, Taiwan)

  • Chi-Ming Liang

    (National Taipei University of Business, Taiwan)

  • Hui-Chuan Hong

    (National Pingtung University, Taiwan)

Abstract

This study discusses the impact of the mass rapid transit (MRT) system’s construction and operation on neighborhood housing prices. Estimations were conducted by considering the spatial dependence of housing prices and using a difference-in-difference (DD) method that incorporated the spatial lag model and spatial error model. The empirical results indicated that the coefficient of the interaction variable of the MRT’s range of influence and commencement time of construction was -0.079, reaching the 10% significance level. Hence, when MRT construction began, housing prices in the experimental group decreased by 7.9% as compared to the control group. A possible reason for these findings is that the “dark age” of urban traffic, air pollution, and noise brought about by MRT construction negatively affected housing prices. With regard to MRT operations, the coefficient of the interaction variable of the MRT’s influence range and service commencement time did not reach the level of significance, indicating that housing prices within the MRT’s influence range were not significantly affected when the MRT’s service began. This might be due to the fact that the psychological expectations of the increase in housing prices had already been realized during the planning, announcement, and construction phases.

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  • Chun-Chang Lee & Chi-Ming Liang & Hui-Chuan Hong, 2020. "The Impact of a Mass Rapid Transit System on Neighborhood Housing Prices: An Application of Difference-In-Difference and Spatial Econometrics," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 28-40, March.
  • Handle: RePEc:vrs:remava:v:28:y:2020:i:1:p:28-40:n:3
    DOI: 10.2478/remav-2020-0003
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    1. Bae, Chang-Hee Christine & Jun, Myung-Jin & Park, Hyeon, 2003. "The impact of Seoul's subway Line 5 on residential property values," Transport Policy, Elsevier, vol. 10(2), pages 85-94, April.
    2. Dubin, Robin A, 1998. "Predicting House Prices Using Multiple Listings Data," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 35-59, July.
    3. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    4. Gibbons, Stephen & Machin, Stephen, 2005. "Valuing rail access using transport innovations," Journal of Urban Economics, Elsevier, vol. 57(1), pages 148-169, January.
    5. Dubé, Jean & Thériault, Marius & Des Rosiers, François, 2013. "Commuter rail accessibility and house values: The case of the Montreal South Shore, Canada, 1992–2009," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 49-66.
    6. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    7. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    8. Claudio A. Agostini & Gastón A. Palmucci, 2008. "The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 233-256, June.
    9. McDonald, John F. & Osuji, Clifford I., 1995. "The effect of anticipated transportation improvement on residential land values," Regional Science and Urban Economics, Elsevier, vol. 25(3), pages 261-278, June.
    10. Robert Armstrong & Daniel Rodríguez, 2006. "An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions," Transportation, Springer, vol. 33(1), pages 21-43, January.
    11. Daniel P. McMillen & John McDonald, 2004. "Reaction of House Prices to a New Rapid Transit Line: Chicago's Midway Line, 1983–1999," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(3), pages 463-486, September.
    12. Dewees, D. N., 1976. "The effect of a subway on residential property values in Toronto," Journal of Urban Economics, Elsevier, vol. 3(4), pages 357-369, October.
    13. Billings, Stephen B., 2011. "Estimating the value of a new transit option," Regional Science and Urban Economics, Elsevier, vol. 41(6), pages 525-536.
    14. Haizhen Wen & Zaiyuan Gui & Chuanhao Tian & Yue Xiao & Li Fang, 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
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    More about this item

    Keywords

    housing prices; mass rapid transit; geographic information system; difference-in-difference; spatial error model; spatial lag model;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics

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