English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51716101      Online Users : 625
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/140.119/23332


    Title: 空屋率的模型選擇及其穩定性:遺傳規畫的應用
    Other Titles: On the Model Selection and Its Stability of the Natural Vancancy Rates of Housing: An Application of Genetic Programming
    Authors: 陳樹衡;林祖嘉;葉佳炫
    Chen,Shu-Heng;Lin,Chu-Chia;Yeh,Chia-Hsuan
    Date: 1995-01
    Issue Date: 2009-01-09 12:22:42 (UTC+8)
    Abstract: 本文應用人工智慧領域新發展的遗傳規畫重新對林祖嘉等(1994)自然空屋率的估計進行研究。雖然遗傳規畫所得到的估計值舆論文研究相似，但是對自然空屋率高峰期的出现卻有不同。另外，遗傳規畫也發现空屋率背後的模型，可能有穩定性的問題。這點也許與房地產市場在資料的涵蓋期間，正好是由衰退步入繁榮的變化有關。
    This paper discusses the applications of genetic programming to the empirical study of the natural rates of vancancy in Taiwan`s housing market. The genetic programming paradigm, a new approach developed in artificial intelligence, is an automatic model search process and is very promising in treating the issue of model selection. By using the model in Lin et. al. (1994) as a benchmark, we explore the advantages of this approach by demonstrating two things: firstly, how genetic programming can be used to investigate the robustness of a given model; secondly, how genetic programming can be used to detect the potential nonlineraity and structural stability in the model. Our findings are two-fold. First of all, using the data running from 1981 to 1988, we find that the 2SLS model considered in Lin et. al. is pretty robust at least in the sense of linearity. However, if we exclude 1981 and add 1989 to our data set, the model is not robust any more. Our further analyses suggest that business cycles in the housing market might affect our estimate of natural vancancy rates and should be taken into account in future studies.
    Relation: 中華民國住宅學報,3,73-98
    Data Type: article
    Appears in Collections:[經濟學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    73-98-a.pdf2331KbAdobe PDF21003View/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