Abstract
The aim of this study is to analyze the dynamics of the housing market in Turkey’s economy and to examine the impact of variables related to housing prices. Preferred by many international housing investors, Turkey hosts profitable real estate investments as one of the developing countries with a shining housing market. This study applies the dynamic model averaging (DMA) methodology to predict monthly house price growth. With the increasing use of information technologies, Google online searches are incorporated into the study. For this purpose, twelve independent variables, with the Residential Property Price Index as the dependent variable, were used in the period January 2010–December 2019. According to the analysis results, it was observed that some variables, such as bond yields, the level of mortgages, foreign direct investments, unemployment, industrial production, exchange rates, and Google Trends index, are determinants of the Residential Property Price Index.
Subject
Economics, Econometrics and Finance (miscellaneous),Development
Reference107 articles.
1. Macroeconomic determinants of international housing markets
2. Konut fiyatlarini etkileyen faktörlerin hedonik model ile belirlenmesi: Eskişehir Örneği;Afşar;Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi,2017
3. Real estate returns predictability revisited: novel evidence from the US REITs market
4. Real estate valuation, current account and credit growth patterns, before and after the 2008–9 crisis
5. Fiyatlari ve konut kredisi faizi: Toda-Yamamoto nedensellik testi;Akkaş;Journal of Economics, Finance and Accounting,2015
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