| dc.description.abstract | As Taiwan′s real estate has gone through many cycles of ups and downs for a long time, coupled with the narrow and densely populated environment, rapid social changes, and changes in demographic structure, national income has increased, and housing income has risen year by year, prompting the continuous rise in real estate, the purchase of houses by young people is heavier. Even if the central government continues to implement housing policy, the problem of high housing prices still exists. In order to understand the changes in long-term housing price trends, this study conducted a long-term housing price trend analysis of Taoyuan District and Zhongli District in Taoyuan City. In the discussion, the source of the collected information is the real estate transaction log-in inquiry service website of the Ministry of the Interior. During the period, the transaction cases from August 1, 101 to December 31, 110 were taken as the sample of this research.
This study first uses the hedonic price model to use semi-log as an analytical regression estimation model to explore the trend of long-term house prices. The growth rates of 19.04%, 26.29%, 32.26%, 28.92%, 31.74%, 30.72%, 35.48%, 42.35%, and 52.48% were in line with the expected results of this study; while the housing prices in Zhongli District increased in 2010 compared to 2010 Compared with Taoyuan District, about 29.17% increased by about 44.39% and 58.07% compared with 101, and the increase in Taoyuan District was larger in the same year, and the fluctuations were more severe in 109 and 110. Compared with 101, the proportion of Taoyuan District was 85.89 %, the matching degree of Zhongli District is 81.25%, which means that the hedonic price model can effectively explain the factors that affect the price of real estate. Secondly, the heterogeneity analysis was used to understand whether there was heterogeneity in the error term of the real estate hedonic price model in the Taoyuan metropolitan area. The results showed that there was a problem of heterogeneity. Therefore, the weighted regression (FGLS) was used to correct the heterogeneity test, and the revised empirical results Compared with the OLS estimation method, the estimated coefficient directions of the two independent variables are consistent, and the significance results are also the same. The empirical results of the hedonic price of housing attributes show that the estimated coefficients of total floors, building area, number of rooms, number of bathrooms, number of halls, and age of the house all have significant levels, which are in line with the expected direction of this research, and the expected results are consistency. It can be seen that in the long run, housing prices do show an upward trend. | en_US |