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전문가의 부동산시장 예측에 영향을 미치는 요인 분석

Determinant Factors of Experts' Real Estate Market Forecasting

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주제분류경제학

초록

In Korea, the real estate experts’ prediction of real estate price change has been used as an important tool in forecasting real estate market change. Though some econometric models such as Vector Autoregressive Model are used basically, experts' interview played a significant role in prospecting the near future real estate market change. It is due to the fact that Korea has experienced frequent change of real estate policy and the econometric models have become useless sometimes. This paper explores the determinant factors affecting experts’ forecasting of future real estate market in order to improve the accuracy. The main results are as follows: First, the main factors affecting prediction are their view of regional housing market and their occupation. In other words, the experts who predict pessimistically on regional housing market tend to expect price decrease of national housing market. Second, the demographic characteristics including age and sex do not have significant effect on their prediction. The results imply that we have to consider regional market condition when we interpret the experts’ market forecasting.

Abstract

In Korea, the real estate experts’ prediction of real estate price change has been used as an important tool in forecasting real estate market change. Though some econometric models such as Vector Autoregressive Model are used basically, experts' interview played a significant role in prospecting the near future real estate market change. It is due to the fact that Korea has experienced frequent change of real estate policy and the econometric models have become useless sometimes. This paper explores the determinant factors affecting experts’ forecasting of future real estate market in order to improve the accuracy. The main results are as follows: First, the main factors affecting prediction are their view of regional housing market and their occupation. In other words, the experts who predict pessimistically on regional housing market tend to expect price decrease of national housing market. Second, the demographic characteristics including age and sex do not have significant effect on their prediction. The results imply that we have to consider regional market condition when we interpret the experts’ market forecasting.

참고문헌 (13)

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  2. 김용순, "부동산시장 조기경보시스템 개선연구" (2006), 건설교통부
  3. 김양우, "한국의 단기경제예측 시스템", 경제분석, 3(3), pp.1~61 (1997)
  4. 김진유, "부동산시장전망 실사지수(RESI)운영현황 및 개선방향", HURI FOCUS, (20) (2006), 주택도시연구원
  5. 서승환, "부동산 가격 행태변화의 실증분석", 주택연구, 8(1), pp.5~25 (2000)
  6. 서승환, "외환위기와 부동산 가격의 행태변화", 주택연구, 7(2), pp.5~24 (1999)
  7. 윤주현, "VAR 모형 구축을 통한 토지 및 주택시장 전망연구" (2001), 국토연구원
  8. 윤주현, "주택시장 경기동향 및 단기전망 연구" (2000), 국토연구원
  9. 이주용, "주택가격변동에 관한 실증분석", 주택금융, 142, pp.33~52 (1999)
  10. 조주현, "부동산 경기변동과 요인변수 분석" (1999), KDI
  11. 최수, , 국토정책 Brief, 44 (2004), 국토연구원
  12. 주택산업연구원, "2007년 주택시장 전망", ~ (2006)
  13. KIM, Jin-Yoo, "Determinants of Experts' Prospect in Korea Real Estate Market", presented at the 12th Asian Real Estate Society and American Real Estate and Urban Economics Association Joint Conference (2007), Macau, China

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