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http://dx.doi.org/10.7465/jkdi.2017.28.6.1471

Time series models on trading price index of apartment and some macroeconomic variables  

Lee, Hoonja (Department of Data Information, Pyeongtaek University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.6, 2017 , pp. 1471-1479 More about this Journal
Abstract
The variability of trade price index of apartment influences on the various aspect, especially economics, social phenomenon, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly trading price index of apartment data. About 16 years of the monthly data have been used from September 2001 to May 2017. In the ARE model, six macroeconomic variables are used as the explanatory variables for the rade price index of apartment. The six explanatory variables are mortgage rate, oil import price index, consumer price index, KOSPI stock index, GDP, and GNI. The result has shown that trading price index of apartment explained about 76% by the mortgage rate, and KOSPI stock index.
Keywords
ARE model; macroeconomic variable; time series data; trading price index of apartment;
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Times Cited By KSCI : 5  (Citation Analysis)
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