Predicting House Prices Using DMA Method: Evidence from Turkey

The aim of this study is to analyze the dynamics housing market in Turkey’s economy and examine impact variables related prices. Preferred by many international investors, Turkey hosts profitable real estate investments as one developing countries with a shining market. This applies dynamic model averaging (DMA) methodology predict monthly house price growth. With increasing use information technologies, Google online searches are incorporated into study. For purpose, twelve independent variables, Residential Property Price Index dependent variable, were used period January 2010–December 2019. According analysis results, it was observed that some such bond yields, level mortgages, foreign direct investments, unemployment, industrial production, exchange rates, Trends index, determinants Index.