The Application of Quantile Regression Model on the Factor Analysis of Taiwan Real Estate Price

• Main Authors: Ying-Chih Fu, 傅盈智
• Other Authors: 作者未提供
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/54954156025633865750

碩士 === 銘傳大學 === 經濟學系碩士在職專班 === 103 === Abstract: This paper discusses the various types of factors that affect on the price of real estate in Taiwan. The dependent variable include Sin-Yi real estate index, Sin-Yi Taipei real estate index, Sin-Yi new Taipei real estate index, Sin-Yi Taichung and Kaohsiung real estate index. The explanatory variables have interest rates, CPI , M1B, stock prices, leading indicator, the difference of GDP and dummy variable before and after the subprime mortgage crisis. The empirical results found: 1.In the different areas, the use of quantile regression models to explore GDP, lending rates, consumer price index, the Taiwan weighted stock index, the money supply has a significant difference in variety of real estate price index quantile level. Second, comparison of quantile and simple regression model estimation results also showed a significant difference.Yet, the former can explain the difference of different areas and prices.