Correlation analysis of housing prices and economic indicators

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dc.contributorGraduate Program in Physics.
dc.contributor.advisorKurnaz, M. Levent.
dc.contributor.authorAltınsoy, Hamza.
dc.date.accessioned2023-03-16T10:37:59Z
dc.date.available2023-03-16T10:37:59Z
dc.date.issued2008.
dc.description.abstractIn 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.
dc.format.extent30cm.
dc.format.pagesx, 72 leaves;
dc.identifier.otherPHYS 2008 A48
dc.identifier.urihttps://digitalarchive.library.bogazici.edu.tr/handle/123456789/13687
dc.publisherThesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008.
dc.relationIncludes appendices.
dc.relationIncludes appendices.
dc.subject.lcshCorrelation (Statistics)
dc.titleCorrelation analysis of housing prices and economic indicators

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