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Estimation of effects of transport accessibility on housing prices

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  • Sidorovykh, Aleksandra

    (Higher School of Economics (Perm), Russia)

Abstract

The paper analyzes the key determinants of real estate prices in Perm, with special attention to transport accessibility indicators. The issue of transport accessibility modeling is discussed. The valuation of price hedonic model revealed that housing prices in Perm are affected mostly by the area of the apartment, the fact of its location on the first floor, number of public transport routes in the district, and time to the city centre.

Suggested Citation

  • Sidorovykh, Aleksandra, 2015. "Estimation of effects of transport accessibility on housing prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 43-56.
    • Handle: RePEc:ris:apltrx:0256
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    References listed on IDEAS

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    1. Brian A. Mikelbank, 2004. "Spatial analysis of the relationship between housing values and investments in transportation infrastructure," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(4), pages 705-726, December.
    2. Scott Wentland & Bennie Waller & Raymond Brastow, 2014. "Estimating the Effect of Crime Risk on Property Values and Time on Market: Evidence from Megan's Law in Virginia," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(1), pages 223-251, March.
    3. Michael Duncan, 2011. "The Impact of Transit-oriented Development on Housing Prices in San Diego, CA," Urban Studies, Urban Studies Journal Limited, vol. 48(1), pages 101-127, January.
    4. Katyshev, Pavel & Khakimova, Yulia, 2012. "Ecological factors and the price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 113-123.
    5. Dean H. Gatzlaff & Marc T. Smith, 1993. "The Impact of the Miami Metrorail on the Value of Residences near Station Locations," Land Economics, University of Wisconsin Press, vol. 69(1), pages 54-66.
    6. Magnus, Jan & Peresetsky, Anatoly, 2010. "The price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 17(1), pages 89-105.
    7. Boris A. Portnov & Bella Genkin & Boaz Barzilay, 2009. "Investigating the Effect of Train Proximity on Apartment Prices: Haifa, Israel as a Case Study," Journal of Real Estate Research, American Real Estate Society, vol. 31(4), pages 371-396.
    8. 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.
    9. Stephen Gibbons & Stephen Machin, 2008. "Valuing school quality, better transport, and lower crime: evidence from house prices," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 99-119, spring.
    10. Balash, Olga & Balash, Vladimir & Harlamov, Alexander, 2011. "A spatial econometric analysis of the housing market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 22(2), pages 62-77.
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    Cited by:

    1. Bobrovskaya, EV. & Polbin, A., 2023. "Econometric modeling of the demand for short-term rental housing: The case of Airbnb in Moscow," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 64-84.
    2. Bobrovskaya, Ekaterina & Polbin, Andrey, 2022. "Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 5-28.
    3. Ekaterina Bobrovskaya & Andrey Polbin & Nikita Fokin, 2024. "Hedonic Price Indices for Moscow Short-Term Rental Housing," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 77-103, March.

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    More about this item

    Keywords

    real estate; transport accessibility; linear regression;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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