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논문 기본 정보

자료유형
학술저널
저자정보
전해정 (성결대학교)
저널정보
한국주거환경학회 주거환경 住居環境 통권 제14권 제1호 (통권 제31호)
발행연도
2016.3
수록면
1 - 11 (11page)

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초록· 키워드

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In this study, housing price was estimated based on apartment area, number of apartment floor, population density, straight line distance to city hall, subway, 2-lanes, 4lanes and park as explanatory variable by setting actual transaction value of Seoul city apartments as dependent variable using OLS, SAR, SEM (spatial econometrics model) and GWR model (geographically weighted regression model) that is a non-parametric estimation method.
As a result of analysis, considering that in case of R<SUP>2</SUP> value and log likelihood, GWR model was higher than OLS but in terms of reference value of both AIC and SC value, GWR model was represented to be lower than OLS, housing price predictability of GWR was proved to be the more reliable than that of OLS model. In addition, as a result of comparing residual distribution, it could be confirmed that while in OLS model, regional spatial correlation was prominent, spatial dependence was considerably moderated in GWR model.
As a result of this study, as influence of housing by each features was confirmed to be differently represented spatially, at the time of establishing housing policy, authorities concerned of the government is required to establish and execute regionally differentiated customized housing policy rather than a uniformed policy based on sufficient understanding for the housing sub-market.

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Abstract
Ⅰ. 서론
Ⅱ. 선행연구 고찰
Ⅲ. 분석모형
Ⅳ. 실증분석
Ⅴ. 결론
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UCI(KEPA) : I410-ECN-0101-2016-595-002736651