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文件名:  Modelling_the_income_distribution_in_the_European_Union:_An_application_for_the_.pdf
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英文标题:
《Modelling the income distribution in the European Union: An application
for the initial analysis of the recent worldwide financial crisis》
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作者:
Maciej Jagielski and Ryszard Kutner
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最新提交年份:
2013
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英文摘要:
By using methods of statistical physics, we focus on the quantitative analysis of the economic income data descending from different databases. To explain our approach, we introduce the necessary theoretical background, the extended Yakovenko et al. (EY) model. This model gives an analytical description of the annual household incomes of all society classes in the European Union (i.e., the low-, medium-, and high-income ones) by a single unified formula based on unified formalism. We show that the EY model is very useful for the analyses of various income datasets, in particular, in the case of a smooth matching of two different datasets. The completed database which we have constructed using this matching emphasises the significance of the high-income society class in the analysis of all household incomes. For instance, the Pareto exponent, which characterises this class, defines the Zipf law having an exponent much lower than the one characterising the medium-income society class. This result makes it possible to clearly distinguish between medium- and high-income society classes. By using our approach, we found that the high-income society class almost disappeared in 2009, which defines this year as the most difficult for the EU. To our surprise, this is a contrast with 2008, considered the first year of a worldwide financial crisis, when the status of the high-income society class was similar to that of 2010. This, perhaps, emphasises that the crisis in the EU was postponed by about one year in comparison with the United States.
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中文摘要:
通过使用统计物理的方法,我们重点对不同数据库中的经济收入数据进行定量分析。为了解释我们的方法,我们介绍了必要的理论背景,扩展的Yakovenko等人(EY)模型。该模型通过基于统一形式主义的单一统一公式,对欧盟所有社会阶层(即低、中、高收入阶层)的家庭年收入进行了分析描述。我们表明,EY模型对于各种收入数据集的分析非常有用,尤其是在两个不同数据集平滑匹配的情况下。我们利用这种匹配构建的完整数据库强调了高收入社会阶层在所有家庭收入分析中的重要性。例如,作为这一阶层特征的帕累托指数定义了齐普夫定律,其指数远低于作为中等收入社会阶层特征的指数。这一结果使我们能够清楚地区分中等收入和高收入社会阶层。通过使用我们的方法,我们发现高收入社会阶层在2009年几乎消失,这将今年定义为欧盟最困难的一年。令我们惊讶的是,这与2008年形成了鲜明对比。2008年被认为是全球金融危机的第一年,当时高收入社会阶层的地位与2010年相似。这或许强调了,与美国相比,欧盟的危机推迟了大约一年。
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分类信息:

一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类:Physics 物理学
二级分类:Data Analysis, Statistics and Probability 数据分析、统计与概率
分类描述:Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件:数据处理与存储;测量方法;统计和数学方面,如参数化和不确定性。
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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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