The Regional Spatial Diversity of Housing Prices and Market Activity – Evidence from Poland

Q3 Social Sciences
R. Cellmer, Aneta Cichulska, M. Bełej
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引用次数: 5

Abstract

The aim of this study is to identify the factors that significantly determine the regional spatial differentiation of housing prices as well as housing market activity in Poland. The present research makes the assumption that average housing prices and market activity (number of transactions) are regionally shaped by economic, social, infrastructural and environmental conditions which can be described as a set of diagnostic features ascribed to a given area, constituting a statistical unit. Furthermore, it is assumed that individual effects may appear, being tied to the idiosyncrasies and significance of the given area. The time horizon of the research is 2008-2018. Based on data sourced from the Central Statistical Office a panel data was prepared for each of 380 Polish districts (poviats). Next, parameters were estimated for a single-factor panel model, as well as a two-factor model in which the constant term is different for different time periods and different units. This resulted in a model encompassing both average price determinants, and individual effects which reflect certain regularities of their spatial distribution. Moreover, the research will result in a set of cartograms made with Geographic Information System tools, depicting the random effects resulting from estimates of panel models using the Nerlove and Swamy-Arora transformations.
房价与市场活动的区域空间多样性——来自波兰的证据
本研究的目的是确定显著决定波兰房价和住房市场活动的区域空间差异的因素。本研究假设,平均房价和市场活动(交易数量)受经济、社会、基础设施和环境条件的区域影响,这些条件可以被描述为特定地区的一组诊断特征,构成一个统计单位。此外,假设个体效应可能会出现,与特定领域的特质和重要性有关。这项研究的时间范围是2008-2018年。根据中央统计局的数据,为380个波兰地区(poviats)编制了一份小组数据。接下来,对单因素面板模型和双因素模型的参数进行了估计,其中常数项对于不同的时间段和不同的单位是不同的。这产生了一个既包含平均价格决定因素,又反映其空间分布某些规律的个体效应的模型。此外,这项研究将产生一组使用地理信息系统工具制作的卡通图,描绘使用Nerlove和Swamy Arora变换对面板模型进行估计所产生的随机效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
29
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