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Analysis of the filtering process and the ripple effect on the primary and secondary housing market in Warsaw, Poland

机译:波兰华沙中主要住房市场的过滤过程及涟漪效应分析

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The evolution of prices on the Warsaw (Poland) housing market was analyzed to identify the main drivers of market development. Newly developed housing and the existing housing stock were analyzed separatelywith a division into small, medium and large apartments (first stage of research). The macro-districts of the city of Warsaw were taken into account in the analysis (second stage of research). Complete data regarding individual transactions were not available; therefore, the analysis relied on changes in house prices in macro-districts between 2010Q1 and 2016Q4. In general, Poland still has a housing shortage, which is also visible in the capital city. Granger causality tests were performed to provide evidence for the filtering process and the ripple effect in selected market segment pairs. An increase in the prices of small apartments on the secondary market led to an increase in the prices of newly built medium-sized apartments. A similar correlation was noted between the prices of medium-sized apartments on the secondary market and the prices of newly built large apartments. The increase in housing prices in the city center tended to spill over to selected macro-districts. Our findings were confirmed by the vector autoregressive (VAR) model.
机译:分析了华沙(波兰)住房市场价格的演变,以确定市场发展的主要驱动因素。将新开发的住房和现有的住房股票分别分析为小型,中型和大型公寓(第一阶段的研究)。在分析(研究第二阶段)中考虑了华沙市的宏区。有关个性交易的完整数据不可用;因此,分析依赖于2010Q1和2016Q4之间的宏区的房价变化。一般来说,波兰仍然有一个住房短缺,在首都也是可见的。进行格兰杰因果关系测试,为选定的市场段对提供过滤过程的证据和纹波效果。增加了二级市场的小公寓价格导致新建中型公寓的价格增加。在二级市场上的中型公寓价格与新建大型公寓的价格之间的相似相关。市中心的房价的增加趋于溢出到选定的宏区。我们的调查结果由载体自回归(var)模型确认。

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