2014•부동산학연구Requires access
서울시 오피스 매매가격 결정요인 분석 - 최소자승법과 분위 회귀모형을 이용하여-
양영준
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Abstract
The purpose of this study is to analyze the office price determinants by using Ordinary Least Square(OLS) based regression analysis and quantile regression analysis. According to the OLS regression analysis with the entire Seoul, there was no significant difference in office prices between CBD and KBD, whereas according to quantile regression analysis, the office prices of KBD were higher than CBD``s after 0.7 quantile. When it came to building age, OLS regression analysis revealed that it positively affected prices, and quantile regression analysis showed that it positively influenced prices after 0.4 quantile. This study has a meaning of analyzing the office price determinants through quantile regression, however leaves limitations on not considering ommitted variables problem and spatial autocorrection.