Analyzing the rents of rental market in Taipei by the number of visits on the website platform

• Main Authors: Liu, Min, 劉敏
• Other Authors: 林左裕
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/dvqtz3

碩士 === 國立政治大學 === 地政學系 === 107 === Real estate market is closely related to people’s life. In the past, previous research was mainly focused on the discussion and forecast of housing prices, only a few papers paid attention to the rental market. However, the scale of the rental housing market in Taiwan has gradually expanded over time, which needed the attention from the society. In addition, researchers usually use outdated statistical data while conducting research related to real estate economic activities in the past. However, with the worldwide progress of technology, consumers often search for information through the Internet before making decisions. In addition, there have been reports pointed out that by adding in online searching indicators in the model can improve the ability to predict housing price and the amount of transaction in the real estate market. Therefore, this study is to discuss the relationship between the average visiting numbers of the rental housing platform and the rent, and whether the average visiting numbers could be used as a leading indicator of the rent. By using the average visiting numbers data of Taipei City’s 12 administrative districts from 2013 to 2017 to analyze housing rent with fixed effect model. The result shows that the average visiting numbers have a positive relationship with the rent, and the average visiting numbers can be used as a leading indicator of the rent. In addition, the empirical results also demonstrate that the searching period’s difference between common residence and suite. In conclusion, by adding online searching indicator in the model can improve the ability of forecasting the trend of housing rent, and enable the government to monitor the rental housing market and also react faster to the change of the rental housing market.