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House Price depreciation Rates and Level of Maintenance

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  • Mats Wilhelmsson

Abstract

My objective in this paper is to estimate different depreciation rates of house prices depending on the level of maintenance of the property and the location of the property. I do this by supplementing transaction price data with owner information about level of maintenance. The result indicates that the level of maintenance has a substantial impact on the price level. Since maintenance offsets some of the physical deterioration of the property, the depreciation rate will be lowered by maintenance, ceteris paribus. To be able to estimate maintenance effects on depreciation rates, I isolated the interaction effect between the level of maintenance and the age of the property to allow for the fact that maintenance has an impact on the effective age of the property. In this study, I separate maintenance into indoor and outdoor maintenance levels (or absence of maintenance). My results show that the depreciation rates are significantly different for a maintained property and for a property that is not maintained. The price difference between a 40-year-old property (built in 1960) and maintained both indoors and outdoors and a property of the same age that is not maintained is about 13 percent (-10 percent compared to -23 percent in total age effect). The absence of outdoor maintenance has more impact on price depreciation rates.

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  • Mats Wilhelmsson, 2004. "House Price depreciation Rates and Level of Maintenance," ERES eres2004_232, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2004_232
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    9. Sören Gröbel, 2018. "Regional heterogeneity in age-related housing depreciation rates [Regionale Heterogenität altersbedingter Wertminderungen von Wohnimmobilien]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 219-254, October.
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    13. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    14. Suntum, Ulrich van, 2009. "Housing, taxation and retirement provision," Journal of Housing Economics, Elsevier, vol. 18(3), pages 249-255, September.
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    20. Lyndsey Rolheiser, 2021. "Old, small and unwanted: Post-war housing and neighbourhood socioeconomic status," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 2952-2970, November.
    21. Lopez, Luis A. & Yoshida, Jiro, 2022. "Estimating housing rent depreciation for inflation adjustments," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    22. Johannes Stroebel, 2016. "Asymmetric Information about Collateral Values," Journal of Finance, American Finance Association, vol. 71(3), pages 1071-1112, June.
    23. Viguié, Vincent & Hallegatte, Stéphane & Rozenberg, Julie, 2014. "Downscaling long term socio-economic scenarios at city scale: A case study on Paris," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 305-324.
    24. Kindström, Gabriella & Liang, Che-Yuan, 2024. "Does new housing for the rich benefit the poor? On trickle-down effects of new homes," SocArXiv u7hjv, Center for Open Science.
    25. Michael Funke & Petar Mihaylovski & Adrian Wende, 2018. "Out of Sync Subnational Housing Markets and Macroprudential Policies," CESifo Working Paper Series 6887, CESifo.

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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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