DEA-AR 기반의 부동산 가격 평가모형
A Real Estate Price Appraisal Model based onthe Data Envelopment Analysis-Assurance Region(DEA-AR)
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초록
본 논문에서는 부동산의 가격에 영향을 미치는 다양한 투입요소들과 그로부터 산출되어 실재하는 일반거래가격간의 효율성을 평가하여 가격을 정할 수 있는 새로운 부동산 가격 평가 모형을 제안한다. 제안하는 부동산 가격 평가 모형은 DEA-BCC 모형 기반의 DEA-AR 모형으로 구성되었으며, DEA-AR모형의 가중치의 범위(Assurance Region) 설정에는 요소별 단위비용(Unit-Cost) 사용법을 이용한다. 가중치의 범위 설정에 사용된 부동산 가격 형성 요소별 단위비용은 목표계획법(Goal Programming) 기반의 단위비용 산출 모형을 통해 산출한다. 제안한 부동산 가격 평가 모형은 부동산 가치평가를 보다 객관적으로 하는데 도움을 줄 것으로 기대된다.
Abstract
>We propose a new real estate price appraisal model that can appreciate various factors effecting the price. The proposed Real Estate Price Appraisal Model is developed by applying DEA-AR model to obtain more reasonable measures of efficiency. We used the unit-cost per criteria method to set the assurance region of each weights for the DEA-AR model. In order to estimate the unit cost of the criteria effecting the price of real estate, we used the Goal Programming to reduce the gap between the estimated and the actual price being traded in. We hope that this approach would be helpful to make an objective real estate price appraisal.
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