- 영문명
- An Investigation of House Price Based on the Macroeconomic Variables
- 발행기관
- 한국부동산학회
- 저자명
- 심성훈(Sim Sung Hoon)
- 간행물 정보
- 『부동산학보』不動産學報 第32輯, 57~76쪽, 전체 20쪽
- 주제분류
- 경제경영 > 경제학
- 파일형태
- 발행일자
- 2008.02.28
국문 초록
영문 초록
1. CONTENTS
(1) RESEARCH OBJECTIVES
The purpose of this study is to examine the long-run and short-run relationships between house prices of four regions and economic variables such as GDP, income, interest rate, and CPI, etc. Furthermore, based on these results, the present study investigates the existence of short-run bubble in house price.
(2) RESEARCH METHOD
This study employes a bounds testing approach to coin testing. In addition, an ARDL (autoregressive distributed lag) - ECM (error correction model) is used to estimate the short-run relations between house prices and macroeconomic variables.
(3) RESEARCH RESULTS
The empirical results show that there exist long-run cointegration relationships between house prices and economic variables, based on bounds test as well as on Johansen method. In the short-run, however, the house prices of four regions are not influenced by the macroeconomic variables such as GDP and income, and the error correction terms are negative and statistically significant. This findings imply the possibility of bubble in short-run house prices.
2. RESULTS
Based on the results of both ARDL and ECM estimations, this study sets a long-run housing model and forecasts house prices. Using the difference between actual and fitted values of house prices, the bubble is estimated. The bubble term in Gangnam area is bigger than the other regional housing markets. The bubble appears to be over 30% in Gangnam and be less than 20 % in other regions.
(1) RESEARCH OBJECTIVES
The purpose of this study is to examine the long-run and short-run relationships between house prices of four regions and economic variables such as GDP, income, interest rate, and CPI, etc. Furthermore, based on these results, the present study investigates the existence of short-run bubble in house price.
(2) RESEARCH METHOD
This study employes a bounds testing approach to coin testing. In addition, an ARDL (autoregressive distributed lag) - ECM (error correction model) is used to estimate the short-run relations between house prices and macroeconomic variables.
(3) RESEARCH RESULTS
The empirical results show that there exist long-run cointegration relationships between house prices and economic variables, based on bounds test as well as on Johansen method. In the short-run, however, the house prices of four regions are not influenced by the macroeconomic variables such as GDP and income, and the error correction terms are negative and statistically significant. This findings imply the possibility of bubble in short-run house prices.
2. RESULTS
Based on the results of both ARDL and ECM estimations, this study sets a long-run housing model and forecasts house prices. Using the difference between actual and fitted values of house prices, the bubble is estimated. The bubble term in Gangnam area is bigger than the other regional housing markets. The bubble appears to be over 30% in Gangnam and be less than 20 % in other regions.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 선행연구 및 본 연구의 특징
Ⅲ. 자료 및 시계열의 선행 분석
Ⅳ. ARDL 모형분석
Ⅴ. 결론
參考文獻
Ⅰ. 서론
Ⅱ. 선행연구 및 본 연구의 특징
Ⅲ. 자료 및 시계열의 선행 분석
Ⅳ. ARDL 모형분석
Ⅴ. 결론
參考文獻
해당간행물 수록 논문
참고문헌
최근 이용한 논문
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!