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Modeling the Trend of Apartment Market Price in Seoul
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 Title & Authors
Modeling the Trend of Apartment Market Price in Seoul
Hwang, Eun-Yeon; Kwon, Yong-Chan; Jang, Dong-Ik; Lee, Jae-Yong; Oh, Hee-Seok;
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 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 , 2003 to August , 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.
 Keywords
Apartment market price;DLM;MCMC;
 Language
Korean
 Cited by
 References
1.
국민은행 부동산 시세통계, KB 아파트 시세 DB". http://est.kbstar.com/quics?page=A005877&cc=a042731:a013811

2.
Congdon, P. (2006). Bayesian Statistical Modelling. John Wiley & Sons, New York

3.
Spiegelhalter, D. J., Best, N. G., Carlin, B. P. and Van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Ser. B, 64, 583-639 crossref(new window)

4.
West, M. and Harrison, J. (1997). Bayesian Forecasting and Dynamic Models. Springer- Verlag, New York