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유동성과 주택가격의 기대심리가 실질 주택가격에 미치는 영향에 관한 연구

Analysis of the Effect of Expected Housing Prices and Liquidity on the Housing Market

  • 전현진 (경남대학교 경제금융학과) ;
  • 권선희 (대진대학교 글로벌경제학과)
  • Jeon, Hyeonjin (Department of Economics, Kyungnam University) ;
  • Kwon, Sunhee (Department of Global Economics, Daejin University)
  • 투고 : 2020.08.27
  • 심사 : 2020.11.20
  • 발행 : 2020.11.28

초록

본 연구는 유동성 지표인 가계대출과 M2, 경기변동을 반영하는 산업생산지수를 변수로 설정하여 주택시장에 영향을 미치는 요인을 분석하고 기대 주택가격의 영향을 파악하고자 하였다. 이를 위하여 2005년 1월부터 2020년 5월까지의 자료를 바탕으로 실증분석을 실시하였으며, 주택가격변수는 실질 매매가격지수를 사용하였다. 모형을 3개로 구분하여 각 변수들의 계수 값을 비교한 결과, 실질 가계대출, 실질 M2 순서로 주택가격에 영향을 미치는 것으로 나타났는데 이는 저금리 기조에 따른 레버리지 효과로 인한 결과로 해석할 수 있다. 그리고 과거의 주택가격과 주택가격에 대한 기대는 현재기의 주택가격을 상승시키는 것으로 나타났다. 주택자산에 대한 기대 가격상승률이 높아지면 주택가격이 높아지는데, 이는 시장을 형성하는 중심가치가 투자가치로 변하게 되어 가격상승으로 이어질 수 있다는 점을 시사한다. 이러한 결과는 유동성의 확대가 경기 활성화에 목적을 두고 있음에도 불구하고 주택가격에도 영향을 미칠 수 있다는 결과를 보여주고 있다.

The purpose of this study was to analyze factors affecting the housing market by setting household loans and M2, which are liquidity indicators, and the industrial production index reflecting economic fluctuations, as variables, and to determine the effect of expected housing prices. An empirical analysis was conducted based on the data from January 2005 to May 2020, and the HP filter was applied to the real house price as the expected house price variable. As a result of the analysis, it was found that real household loans, real M2, and so on, had an effect on house prices, and expectations for past house prices and house prices increased the house prices in the present period. These results show that even though the liquidity expansion is aimed at revitalizing the economy, it can affect housing prices as well.

키워드

참고문헌

  1. Y. Y. Choi. and I. G. Baek(2018). Determinants of the Expected Housing Price and Analysis of Household Characteristics. Housing Finance Research. 3. 14-31.
  2. H. J. Chun and H. S. Park(2012). An Analysis on the Dynamic Correlation between Liquidity and Housing Price -Focused on Pre and Post Global Financial Crisis-. Korea real estate review. 22(2). 103-121.
  3. K. I. Chung(2006). Analysis of the relationship between asset price and liquidity. BOK Working Paper. 225
  4. S. W Kim and E. M. Kim(2009). Credit to Households' Effect on Housing Market: Comparison before and after Financial Crisis. Journal of Korea Regional Science Association. 25(4). 123-147
  5. J. H. Han(2010). A Study of Liquidity as the Determinant of Housing Price in course of the Financial Crisis. Journal of the Korean regional economics. 15. 105-127. DOI : 10.5762/KAIS.2016.17.5.116
  6. J. G. Kim and D. J. Jeong(2011). A Analysis of the Effect of the Change in Real Estate Prices on the Influence of Liquidity and Interest Rates. Housing Studies Review. 201(1). 105-125.
  7. K. Y. Eom and C. H. Jin(2016). The Study of Monetary Liquidity Effect on Residential Real Estate Market. Housing Studies Review. 24(4). 5-27.
  8. A. M. Meltzer(1995). Monetary, Credit and (Other) Transmission Processes: A Monetarist Perspective. The Journal of Economic Perspectives. 9(4). 49-72. https://doi.org/10.1257/jep.9.4.49
  9. I. C. Tsai(2015). Monetary policy and bubbles in the national and regional UK housing markets. Urban Stuies. 52(8). 1471-1488. DOI : 10.1177/0042098014534904
  10. C. S. Choi(2018). Relationship Between Housing Prices and Expected Housing Prices in the Real Estate Industry. Journal of Distribution Science. 13(11). 39-46. DOI : 10.21742/AJMAHS.2018.09.19
  11. KBLiveOn(2019. 8. 16). https://m.post.naver.com/ my.nhn?member No=45336244
  12. C. Goodhart & B Hofmann.(2008). House prices, money, credit, and the macroeconomy, Oxford Review of Economic Policy. 24(1). 180-205 https://doi.org/10.1093/oxrep/grn009
  13. H. W. Ryu & S. S. Koh. (2013). A Study on Liquidity Effect in the Housing Market. Housing Studies Review,21(3). 101-121
  14. H. J. Ji. (1999). Relationship between house price and economic fluctuation. Housing & people, 109. 213-239.
  15. H. J. Chun. (2019). Effects of Macroeconomic Variables on Regional Housing Prices Using Bayesian Panel VAR Model. The Journal of Humanities and Social science. 10(6). 1349-1362. my.nhn?memberNo=45336244
  16. Y. D Kim, R.S Park, S.T Kim(2015). On the Relationship among the Housing Mortgage Loan, House Price and Real Economy in Chungbuk Provincy, Journal of Industrial Economics and Business. 28(4). 1515-1540