政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/135798
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113318/144297 (79%)
Visitors : 51032991      Online Users : 947
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135798


    Title: Forecasting Housing Markets from Number of Visits to Actual Price Registration System
    Authors: 林左裕
    Lin, Tsoyu Calvin
    Hsu, Shih-Hsun
    Contributors: 地政系
    Keywords: Actual price registration system;Hit rate;Search behavior;Big data;Vector auto-regression with exogenous variables
    Date: 2020-01
    Issue Date: 2021-06-16 14:51:52 (UTC+8)
    Abstract: Taiwan launched the actual price registration system for real estate transactions in 2012. Real estate–related information, for e.g., prices, area and location, can be obtained through a search on this platform. Most market participants, including potential buyers and sellers, obtain property information before making their transaction decision. If the search behavior can be transferred into supply or demand action, then the number of visits to a website can be used as a leading indicator of price changes or transaction volume. This study has collected the number of visits to the actual price registration system in New Taipei City in Taiwan and other macro-economic variables from 2014 to 2019 and applied a model with vector auto-regression with exogenous variables (VARX) for empirical analysis. We find two important results in our analysis: 1. the transaction volume significantly leads house prices and the number of visits to this system in most districts, and 2. the number of visits leads transaction volume only in the district with a very good transportation system and infrastructures, and leads the house prices only in districts that have affordable house prices or deemed to be a “good value”. This is the first empirical study done after Taiwan launched the actual price registration system. Governments in other countries can launch similar systems and market participants can apply the findings of this study to their future policy and investment decision making process.
    Relation: International Real Estate Review, 23:4, 1131-1162
    Data Type: article
    Appears in Collections:[Department of Land Economics] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    83.pdf1361KbAdobe PDF2259View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback