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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/23272

    Title: Lottery Markets Design Micro-Structure and Macro-Behavior: An ACE Approach
    Authors: 陳樹衡
    Keywords: Lottery;Agent-based computational modeling;Genetic algorithms;Sugeno fuzzy models;Laffer curve
    Date: 2008-08
    Issue Date: 2009-01-09 12:16:57 (UTC+8)
    Abstract: An agent-based computational modeling of the lottery market is established in this paper to study the design issue, in terms of the lottery tax rate, as well as the emerging market behavior. By using genetic algorithms and fuzzy logic, lottery participants are modeled as autonomous agents who may endogenously adapt to exhibit behavioral properties consistent with well-noticed behavior of lottery markets. Three major findings are presented. First, as anticipated, a Laffer curve is found in this model; nonetheless, the Laffer curve has a flat top, which indicates the non-uniqueness of the optimal lottery tax rate. Second, conscious selection behavior is also observed, but it becomes weaker as time goes on. Third, for the halo effect, we observe exactly the opposite. Each of these three findings are then compared with available empirical results, and the mechanism of genetic algorithms is further examined in light of the anti-halo effect
    Relation: Journal of Economic Behavior and Organization,67(2),463-480
    Data Type: article
    DOI 連結: https://doi.org/10.1016/j.jebo.2006.10.012
    DOI: 10.1016/j.jebo.2006.10.012
    Appears in Collections:[經濟學系] 期刊論文

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