English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 51931/87076 (60%)
造訪人次 : 8476329      線上人數 : 135
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99956


    題名: The Use of Knowledge in Prediction Markets: How Much of Them Need He Know?
    作者: 池秉聰;陳樹衡
    貢獻者: 淡江大學產業經濟學系
    關鍵詞: prediction markets;Schelling segregation model
    日期: 2015-01
    上傳時間: 2015-01-15 18:49:23 (UTC+8)
    出版者: Tapiei: Institute of Information Science, Academia Sinica
    摘要: In this article, we extend an early agent-based spatial model of the prediction market by taking into account the heterogeneities of agents in their tolerance capacity (tolerance to neighbors with different political identities) and in their exploration capacity (exploration of the political identities of other agents). We then study the effects of these heterogeneities on the behavior of the prediction market, including prediction accuracy, determinants of earnings, and income distribution. First, in terms of prediction accuracy, we find that, compared to the homogeneous case, bringing heterogeneity into the model can generally improve the prediction accuracy, although its statistical significance is limited. In particular, the well-known empirical regularity known as the favorite-longshot bias remains almost unchanged with this extension. Second, through the heterogeneous-agent design, we find that both capacities (personality traits) of agents have a significant positive effect on earnings, and the effect of the exploration capacity is even more dramatic. Third, through their effects on earnings, both capacities also contribute to income inequality, but only to a mild degree with a Gini coefficient of 0.20.
    關聯: Journal of Information Science and Engineering 31(1), pp.1-22
    顯示於類別:[產業經濟學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML194檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋