Main determinants of house prices: Effects of construction cost and house sales to foreigners

U. Alkan
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引用次数: 1

Abstract

Housing prices have increased worldwide with the increase in commodity prices. They have become a primary investment tool most consumers prefer, especially to protect themselves from inflation. One of the main questions is which macroeconomic factors affect the housing price index, especially the increase in the number of houses sold to foreigners and the increase in construction costs. The study will answer whether the increase in housing costs or the increase in sales to foreigners causes an increase in housing prices. The variables in the study consist of macroeconomic variables that were mostly included in previous studies. Data from January 2015 to March 2022 consisted of 87-period data. Time series analysis has been tried to be explained with the help of the ARDL model by performing a boundary test. In the model, all variables were significant, but a long-term relationship was found, not a short-term one. Tests have demonstrated the model's accuracy for deviation from basic assumptions and structural break tests. Taking the logarithms of the variables in the model makes it possible to interpret them flexibly. In this context, contrary to expectations, it was determined that house sales to foreigners decreased the house price index, and the biggest reason for the increase in house prices was the cost increases that took place worldwide. Other variables that increase and decrease the housing price index are interpreted, and suggestions are made to solve the housing problem. It is considered that the model gives an idea to understand the increase in housing prices, but other social factors should also be considered for housing demand.
房价的主要决定因素:建筑成本和房屋销售对外国人的影响
随着商品价格的上涨,世界范围内的房价也在上涨。它们已成为大多数消费者青睐的主要投资工具,尤其是在保护自己免受通胀影响方面。其中一个主要问题是,哪些宏观经济因素会影响房价指数,特别是出售给外国人的房屋数量增加和建筑成本增加。该研究将回答是住房成本的增加还是对外国人销售的增加导致了房价的上涨。本研究的变量由宏观经济变量组成,这些变量在以往的研究中大多包含。2015年1月至2022年3月共87期数据。时间序列分析试图通过进行边界检验来解释ARDL模型。在模型中,所有变量都是显著的,但发现了长期的关系,而不是短期的关系。试验证明了该模型对基本假设偏差和结构断裂试验的准确性。对模型中的变量取对数,可以灵活地解释它们。在这种情况下,与预期相反的是,向外国人出售住宅降低了房价指数,而房价上涨的最大原因是全球范围内的成本上涨。对影响房价指数涨跌的其他变量进行了解释,并提出了解决住房问题的建议。人们认为,该模型为理解房价上涨提供了思路,但住房需求还应考虑其他社会因素。
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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