Analysis of the Heterogeneity of Apartments and Its Impact on Rental Prices in Prague Using Web Scraping and Hedonic Regression Model
Year: 2025
Type: article
Abstract: The study analyzes the heterogeneity of the housing stock and its impact on rent levels in Prague. Using web scraping and hedonic log-log regression on data from the SReality portal (20 184 apartments offered), it quantifies the impact of layout, size, and amenities (elevator, terrace, garage, facilities, new construction) on the price per square meter and examines the spatial and temporal variability of these factors. It compares classic indices (Laspeyres, Paasche, Fisher) with their hedonic variants to assess whether changes in the structure of supply distort aggregate statistics. The results show significant spatial heterogeneity of parameters, but only slight differences between traditional and hedonic indices in short-term monitoring.
Authors: Adam Slavíček, Stanislava Hronová, Richard Hindls
Language: English
Topic: Housing Market and Economics
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7110835720
FWCI:
Cites:
Cited by:
Related to: