This paper fills the gap in rich housing literature by testing the spatio-temporal stability of real estate submarkets. We start with standard Geographically Weighted Regression (GWR) estimation of the hedonic model on point data, and we cluster model coefficients to detect housing submarkets. We check spatio-temporal stability - we add novelty by comparing if clusters move over space or stay in the same place. We rasterise surface and apply the Rand Index and Jaccard Similarity to check if clusters assigned to raster cells yield stable spatial structure. This approach allows for quantitative assessments of how much determinants of price are stable over time and space. The same mechanism applied to standard errors of GWR coefficients is a good test of the spatio-temporal stability of local heteroscedasticity. A Case study of apartments' transactions in Warsaw-Poland for the 2006–2015 period, evidences relatively high spatio-temporal stability.

本文通过测试房地产子市场的时空稳定性，填补了丰富的住房文献中的空白。我们从点数据的享乐模型的标准地理加权回归（GWR）估计开始，然后对模型系数进行聚类以检测住房子市场。我们检查时空稳定性-通过比较星团是在空间上移动还是留在同一位置来增加新颖性。我们对表面进行栅格化，然后应用“兰德索引”和“杰卡德相似度”来检查分配给栅格像元的聚类是否产生稳定的空间结构。这种方法可以定量评估价格决定因素在时间和空间上是稳定的。应用于GWR系数标准误差的相同机制很好地检验了局部异方差的时空稳定性。公寓的个案研究