The Impact of Macro Factors on Apartment Prices in Polish Counties : a Two-Stage Quantile Spatial Regression Approach

• Autorzy: Mateusz Tomal
• Języki publikacji: EN

Abstrakty

EN

The aim of this study is to identify the economic, demographic, environmental and spatial determinants of residential property prices in Polish counties. Two-stage quantile spatial regression (2SQSR) is the main method of analysis. Additionally, two-stage least squares regression (2SLS) is used. The estimation results indicate that there are several significant determinants of residential property prices with observable quantile effects. In particular, the findings reveal a very interesting U-shaped pattern among quantile regression coefficients for variables describing unemployment rate, the standard of properties and county area. For the spatially lagged dependent variable, a linear pattern is observable. Generally, the findings of this study have notable implications for developing housing policies, both at the national and local levels. (original abstract)

Słowa kluczowe

EN

Dwellings; Real estate prices; Quantile regression

PL

Mieszkania; Ceny nieruchomości; Regresja kwantylowa

• Czasopismo: Real Estate Management and Valuation
• Rocznik: 2019
• Numer: vol. 27, iss. 4
• Strony: 1--14

Twórcy

autor

Mateusz Tomal

• Uniwersytet Ekonomiczny w Krakowie

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Identyfikatory

DOI

10.2478/remav-2019-0031