Research on Factors Affecting Housing Prices-Viewpoint on the Regulations on Real Estate Appraisal

• Main Authors: YEH,TZU-KUANG, 葉紫光
• Other Authors: Chen,Juei-Chao
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/bh8823

碩士 === 輔仁大學 === 統計資訊學系應用統計碩士在職專班 === 106 === The purpose of this study is to research the factors affecting housing prices from the viewpoint of the Regulations on Real Estate Appraisal. The data source of this study are from Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.the Department of Land Administration, the “Real Estate Price Database” , and the Statistics Department of the Ministry of the Interior. The New Taipei City Government Police Department, the main information is the unemployment rate in Taiwan, the average disposable income of the family, the number of criminal cases in New Taipei City, the transaction data of the medieval housing in Xinzhuang District, New Taipei City, and the Google Map. This study collected 1,511 real estate transactions from the 2006 first season to the third season of 2012of the Xinzhuang area in New Taipei City, and selected the pre-owned Congregate housing in the residential area through the data screening purpose category. The remaining data totaled 571 real estate data.The regression model is used as the benchmark model, and the Classification and Regression Tree (CART) in the decision tree is used as the real estate apprising model of the Hedonic Price Method. as the Classification and Regression Tree is expected to be more efficient than other regression methods. In addition, the architecture of the Classification and Regression Tree is intuitive when applied to the housing price model. Moreover, it is found that there are nonlinear relationships between the house prices and the characteristic variables. Finally, the micro characteristics exhibit higher explanatory power than the macro ones.