Impact of the Volume of Developer Housing Units on Real Estate Prices in Poland: Correlation and Coherence Analysis

This article conducts a comprehensive correlation analysis to explore the relationship between the development volume by developers and average market prices in Poland's housing sector from 2010 to 2023, utilizing quarterly data on the number of apartments released and their average prices. It employs both linear and nonlinear correlation analysis alongside wavelet coherence analysis. Preliminary correlational analysis offered insights into the basic interdependency patterns, highlighting how developer-supplied apartment numbers impact average prices. Wavelet coherence analysis, a more sophisticated approach, decomposed the data across various frequencies to uncover complex, nonlinear relationship patterns potentially missed by conventional correlation methods. The findings of the study highlight significant connections between the variables that vary over time and space, emphasizing the complexity of the housing market and underscoring the necessity for thorough analysis. These results carry important implications for developers, investors, and housing policy formulation, contributing significantly to understanding Poland's residential real estate market dynamics and supporting further research and strategic real estate industry planning.

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Publication Details

Journal
Anwendungen und Konzepte der Wirtschaftsinformatik
Published
2025-01-09
DOI
https://doi.org/10.26034/lu.akwi.2024.6234
Primary Topic
Housing Market and Economics
Type
article
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article

Impact of the Volume of Developer Housing Units on Real Estate Prices in Poland: Correlation and Coherence Analysis

Paweł Frącz, Łukasz Mach, Ireneusz Dąbrowski, Daria Wotzka et al.
Anwendungen und Konzepte der Wirtschaftsinformatik
Housing Market and Economics
article

Impact of the Volume of Developer Housing Units on Real Estate Prices in Poland: Correlation and Coherence Analysis

Paweł Frącz, Łukasz Mach, Ireneusz Dąbrowski, Daria Wotzka, Bartosz Chorkowy, Marzena Stec
article en

Abstract

This article conducts a comprehensive correlation analysis to explore the relationship between the development volume by developers and average market prices in Poland's housing sector from 2010 to 2023, utilizing quarterly data on the number of apartments released and their average prices. It employs both linear and nonlinear correlation analysis alongside wavelet coherence analysis. Preliminary correlational analysis offered insights into the basic interdependency patterns, highlighting how developer-supplied apartment numbers impact average prices. Wavelet coherence analysis, a more sophisticated approach, decomposed the data across various frequencies to uncover complex, nonlinear relationship patterns potentially missed by conventional correlation methods. The findings of the study highlight significant connections between the variables that vary over time and space, emphasizing the complexity of the housing market and underscoring the necessity for thorough analysis. These results carry important implications for developers, investors, and housing policy formulation, contributing significantly to understanding Poland's residential real estate market dynamics and supporting further research and strategic real estate industry planning.

Anwendungen und Konzepte der Wirtschaftsinformatik(20)
Opole University of Technology (PL), University of Opole (PL), SGH Warsaw School of Economics (PL), National Bank of Poland (PL)
Sustainable cities and communities
Openalex Percentile: Top 99%
Housing Market and Economics
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Impact of the Volume of Developer Housing Units on Real Estate Prices in Poland: Correlation and Coherence Analysis — Paweł Frącz, Łukasz Mach, et al. · Anwendungen und Konzepte der Wirtschaftsinformatik (2025) | TGRS Research Map | TGRS