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주택특성을 감안한 주택가격모형의 비교분석 ( Comparison of Hedonic Price Model )
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Abstract
The purpose of this study is to compare the estimating power of
hedonic price function using simple linear regression equation
and log-linear regression equation. For analyzing the hedonic
price model, physical and environmental characteristics of single
family housing located in north-east of Seoul were used. The
correlation coefficient(R2) of simple linear regression equation
and log-linear regression equation was 0.856, 0.858 respectively.
As a result, log-linear regression analysis is superior to simple
linear regression analysis in estimating the hedonic price.