Correlation analysis of housing prices and economic indicators

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Date

2008.

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Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008.

Abstract

In this thesis, we analyzed the effects of economic indicators on house prices in eighteen countries. The economic indicators, which we used, are Gross Domestic Product (GDP), population, Consumer Price Index (CPI) and Retail Price Index (RPI). By using the statistical programme SVM (Support Vector Machine), we found clusters which show similar distributions of house prices under the effect of GDP and population. Furthermore, we found equations that relate house prices of countries to their CPI and RPI values and we tested these equations statistically using the software Eviews.

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