Assessing Real Estate Characteristics on the Housing Market of Budapest: A Geographically Weighted Hedonic Pricing Approach

Lukács, Sándor (2019) Assessing Real Estate Characteristics on the Housing Market of Budapest: A Geographically Weighted Hedonic Pricing Approach. Outstanding Student Paper, BCE, Statisztika és ökonometriai szekció. Szabadon elérhető változat: http://publikaciok.lib.uni-corvinus.hu/publikus/tdk/lukacs_s_2019.pdf

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Free and unrestricted access: http://publikaciok.lib.uni-corvinus.hu/publikus/tdk/lukacs_s_2019.pdf

Abstract

Recently the real estate housing market in Budapest is in a boom, which is characterized by the ever-rising rents and prices on the market. In a scenario like this knowing the property characteristics that drive prices can be a valuable asset. A geospatial database of 11061 property listings in Budapest is used, including the properties’ price, certain internal and locational characteristics. The paper is using the methodology of the hedonic pricing approach and geographically weighted regression in order to build a database containing the estimated spatially varying coefficients of housing characteristics. The paper proved that residents valuation of the characteristics varies spatially

Item Type:Outstanding Student Paper
Notes:2. díj
Subjects:Regional economy
Economic development, sustainable development
ID Code:13339
Specialisation:Nemzetközi gazdálkodás
Deposited On:10 Dec 2020 13:55
Last Modified:10 Dec 2020 13:55

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