政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/61084
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113318/144297 (79%)
造訪人次 : 50957422      線上人數 : 936
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/61084


    題名: 特徵方程式大量估價法在台灣不動產市場之應用
    其他題名: An Application of Mass Appraisal and the Hedonic Equation in the Real Estate Market in Taiwan
    作者: 林祖嘉;馬毓駿
    Lin,Chu-Chia;Ma,Yu-Chiung
    貢獻者: 政大經濟系
    關鍵詞: 大量估價;特徵方程式;不動產估價
    mass appraisal;hedonic equation;real estate pricing
    日期: 2007-06
    上傳時間: 2013-09-24 14:17:42 (UTC+8)
    摘要: 如何精確估計不動產價格一直是房地產研究領域的一個熱門話題，而且不動產的放款更是銀行重要的業務範圍，精確估計不動產價值是維護授信品質的重要條件之一。同時，在巴賽爾協定的規範下，銀行業必須對擔保品定期檢視其市值以確保授信的品質，但由於一般銀行業者累積不動產擔保品的數量龐大，定期檢視與重估價值的變動，是一件非常花費人力與物力的工作。因此，大量估價法的需求就因應而生，因爲一個良好的大量估價模型可以以低成本且有效率的方式來解決上述問題。 在房地產實證研究的領域中，特徵方程式(hedonic equation)一直是受到研究者廣泛使用的估計工具，然大多針對某一現象或研究目的進行模型設計，較少在具有大量樣本下進行推估。本文將採用大量估價法(mass appraisal)與特徵方程式，針對估計建物價格的目的，說明如何建立變數的過程與限制，同時結合總體時間變化的影響，有效率且低成本的推估建物價格，並探討如何以不同指標檢驗預測能力的標準，提供進一步增加預測精準度的可行方案。
    Estimating a housing price precisely is always an important issue both in real estate research and in practice by financial institutions. According to the Basel Accord, financial institutions have to review and to reassess their mortgage assets for a certain period of time to maintain asset quality and control risk. However, since it is costly to reassess a real estate property in the traditional way, it will be very troublesome and costly to reassess thousands of real estate mortgages for each institution from time to time. Therefore, constructing a mass appraisal model to reassess a large quantity of real estate mortgages has become a necessity for most financial institutions. In this paper we first build a mass appraisal model using the hedonic equation model, including housing characteristics, neighborhood attributes, and macroeconomic variables, and then apply a dataset with more than 50,000 real estate mortgages to construct a housing price equation. According to several statistics, including R-squared, the mean absolute percentage error (MAPE), and the hit rate, we find that the estimation results of our pricing model are quite satisfactory. This implies that mass appraisal could be a good model to apply in Taiwan.
    關聯: 住宅學報, 16(2), 1-22
    資料類型: article
    顯示於類別:[經濟學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    16-2-1-22-a.pdf1334KbAdobe PDF2715檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    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 ©   - 回饋