search for


Time series models on trading price index of apartment and some macroeconomic variables
Journal of the Korean Data & Information Science Society 2017;28:1471-9
Published online November 30, 2017
© 2017 Korean Data & Information Science Society.

Hoonja Lee1

1Department of Data Information, Pyeongtaek University
Correspondence to: Hoonja Lee
Professor, Department of Data Information, Pyeongtaek University, Pyeongtaek 17869, Korea. E-mail:
Received October 11, 2017; Revised November 15, 2017; Accepted November 20, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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