The Trend of Average Unit Price In Taipei City

摘要

The real estate price is a well-known index that in a way represents the state of economy of a country. Therefore how to catch the trend of this real estate price has been an important issue for Government and researchers. In this study, we discuss the trend of average unit price in a capital city, in hope of establishing a decent predicting model and key factors for this price. Other than traditional statistic methods, Neural Networks (NN) and Support Vector Regression (SVR) have demonstrated their advantages in previous research, and thus are applied and compared in this study. Variables are first summarized and concluded from earlier research and then selected by stepwise procedure. The result shows that SVR outperformed NN and stepwise procedure is valid in variable selections, and the key factors are previous trading price, Money supply M2 and New House-purchasing Loans.