Earticle

초록

영어

This study tired to analyze regional factors such as transportation environments and individual factors that influence the price of houses comprehensively. As house price is affected by regional factors because of spatial autocorrelation, individual houses are structurally nested in corresponding region. Therefore, the multilevel structure analysis by separating individual factors from regional factors in the identification of factors influencing house price will allow us to understand the complicated phenomenon comprehensively. The method to analyze it effectively is Hierarchical Lineal Model (HLM). In this study, the effects of regional environments, intra‐class correlation coefficient (ICC) and individual factors on the change in house price are investigated through HLM. Additionally,the effects of regional factor (transportation environments) and individual factors in the nested structure on house price are identified comprehensively. The ultimate purpose of the study is to identify interaction effects influencing much on house price by combining regional and individual transportation environment factors.

목차

Abstract
 1. 서론
  1.1. 연구의 배경 및 목적
  1.2. 선행연구 고찰
 2. 연구설계
  2.1. 연구범위 및 자료구축
  2.2. 변수선정
  2.3. 분석모형
 3. 실증분석
  3.1. 기술통계 분석
  3.2. 무조건부 모형 (모형-1) 과 상수항확장모형(모형-2) 분석
  3.3. 부분계수확장모형 (모형-3)
 4. 결론
 주
 참고문헌

키워드

저자

• 윤효묵 [ Youn, Hoo-Mug | 국민대학교 법무대학원 부동산학 전공 외래교수 ] 공동저자
• 이성현 [ Lee, Sung-Hyun | 대구대학교 도시 · 지역계획학과 외래교수, 도시공간 · 입지 연구소 소장 ] 공동저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국지역개발학회지 [Journal of the Korean Regional Development Association]

• 간기

  연5회

• pISSN

  1225-9055

• 수록기간

  1989~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 322 DDC 330