Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Modeling the Trend of Apartment Market Price in Seoul

서울시 아파트 가격 추세의 모형화

  • Hwang, Eun-Yeon (Department of Statistics, Seoul National University) ;
  • Kwon, Yong-Chan (Department of Statistics, Seoul National University) ;
  • Jang, Dong-Ik (Department of Statistics, Seoul National University) ;
  • Lee, Jae-Yong (Department of Statistics, Seoul National University) ;
  • Oh, Hee-Seok (Department of Statistics, Seoul National University)
  • Published : 2008.03.30

Abstract

The goal of this paper is analyzing and modeling the trend of apartment market price in Seoul using the dynamic linear model(DLM). We use the market price per pyeong of 30-pyeong-apartment provided by "KB apartment market price database" of Kookmin bank. The data is collected from June $24^{th}$, 2003 to August $28^{th}$, 2006. The inspection of the data reveals that the trend of apartment market price in Seoul can be divided into two groups and we assume that the price is expressed by the common trend of divided groups. We try to estimate the price of apartment by DLM using the Bayesian method.

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References

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