摘要翻译:
我们用统计力学的标准模型,即铁磁学的伊辛模型来分析所得税逃税动力学。然而,与以往的研究不同,我们使用了一个非均匀的多维伊辛模型,其中局部自由度(智能体)受制于特定的社会温度,并耦合到控制其社会行为的外部场。这种新的建模框架允许分析由四种不同的相互作用的agent类型组成的大型社会。作为第二个新奇之处,我们的模型可以再现基于代理的模型的结果,该模型包含标准的Allingham和Sandmo逃税特征,以及现有的基于二维Ising的逃税模型的结果。然后,我们利用我们的模型分析了在不同的执法情景下所得税偷逃税的动态,并指出了一些政策含义。
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英文标题:
《Income Tax Evasion Dynamics: Evidence from an Agent-based Econophysics
Model》
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作者:
Michael Pickhardt and Goetz Seibold
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最新提交年份:
2011
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分类信息:
一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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一级分类:Quantitative Finance 数量金融学
二级分类:Statistical Finance 统计金融
分类描述:Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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英文摘要:
We analyze income tax evasion dynamics in a standard model of statistical mechanics, the Ising model of ferromagnetism. However, in contrast to previous research, we use an inhomogeneous multi-dimensional Ising model where the local degrees of freedom (agents) are subject to a specific social temperature and coupled to external fields which govern their social behavior. This new modeling frame allows for analyzing large societies of four different and interacting agent types. As a second novelty, our model may reproduce results from agent-based models that incorporate standard Allingham and Sandmo tax evasion features as well as results from existing two-dimensional Ising based tax evasion models. We then use our model for analyzing income tax evasion dynamics under different enforcement scenarios and point to some policy implications.
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PDF链接:
https://arxiv.org/pdf/1112.0233