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Prediction of apartment prices per unit in Daegu-Gyeongbuk areas by spatial regression models
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공간회귀모형을 이용한 대구경북 지역 단위면적당아파트 매매가격 예측

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Type
Academic journal
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Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.26 No.3 KCI Excellent Accredited Journal
Published
2015.6
Pages
561 - 568 (8page)

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Prediction of apartment prices per unit in Daegu-Gyeongbuk areas by spatial regression models
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Research history (2)

2015

Prediction of apartment prices per unit in Daegu-Gyeongbuk areas by spatial regression models
Woo Jung Lee ,  Cheo Lyong Pa ,  k Journal of the Korean Data And Information Science Society 2015.06 Academic journal
이우정 통계학과 2015.01 Thesis
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Abstract· Keywords

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In this study we predict apartment prices per unit in Daegu-Gyeongbuk areas by spatial lag and spatial error models, both of which belong to so-called spatial regression model. A spatial weight matrix is constructed by k-nearest neighbours method and then the models for the apartment prices in March, 2012 are fitted using the weight matrix. The apartment prices in March, 2013 are predicted by the fitted spatial regression models and then performances of two spatial regression models are compared by RMSE (root mean squared error), RRMSE (root relative mean squared error), MAE (mean absolute error).
#공간회귀모형 #spatial regression model #아파트 매매가격 #Apartment price #공간시차모형 #공간오차모형 #spatial lag model #spatial error model

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References (7)

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1. [단행본] - Anselin, L. / 1988 / Spatial econometrics: Method and models / Kluwer Academic Publishers google schola 2. [단행본] - Anselin, L. / 2001 / Spatial externalities, spatial multipliers and spatial econometrics / Regional Economics Applications Laboratory google schola 3. [학위논문] - Chun, H. / 2002 / A study on the living culture of apartment / Master / Yonsei University google schola 4. [학술지(정기간행물)] - 정건섭 / 2012 / 부산시 실거래 주택매매 가격을 이용한 공간계량모형의 적합도 비교연구 / 한국지리정보학회지 15 (1) : 43 ~ 51 dbpia 5. [학술지(정기간행물)] - 허윤경 / 2007 / 도시별 주택가격의 공간적 영향력 검증- 서울과 부산의 아파트가격을 중심으로 - / 주택연구 15 (4) : 5 ~ 23 dbpia

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