주택 유형별 거래량의 동태적 상관관계 분석

다국어 초록 (Multilingual Abstract)

The purpose of this study is to analyze the correlation between the market by housing type through the dynamic data.
This study is based on monthly trading volume of time-series data for 10 years until recently, from January 2006 for the three housing types. Housing market trading volume variable that is recognized independently of each other, or linked, through a time-series analysis to determine whether a certain degree of influence in some type of linkage if. In addition, the housing market has regional characteristics. So each analysis divided into four areas. This allows arrest also see whether regional differences.
Main results are as follows. There is a correlation between the volume. by housing type. However, depending on whether the correlation degree and the relationship between areas that are separated into sub-markets showed a difference.
For an apartment, it was found to affect the type, all four sub-markets, especially in Seoul was a two-way effect relationship. The degree of influence the metropolitan apartments appeared to be sustained long-term effects of 10 months, while non-metropolitan areas were in the short term. Therefore, the type of apartments can be described as the housing market led to think it is because the preference for apartments as investment products is relatively high. In non-metropolitan areas it does not affect other types of row houses - detached houses that can act independently of each other.