英文标题：
《New economic windows on income and wealth: The k-generalized family of
distributions》
---
作者：
F. Clementi, M. Gallegati
---
最新提交年份：
2016
---
英文摘要：
Over the last decades, the distribution of income and wealth has been deteriorating in many countries, leading to increased inequalities within and between societies. This tendency has revived the interest in the subject greatly, yet it still receives very little attention within the realm of mainstream economic thinking. One reason for this is that the basic paradigm of \"standard economics\", the representative-agent General Equilibrium framework, is badly equipped to cope with distributional issues. Here we argue that when the economy is treated as a complex system composed of many heterogeneous interacting agents who give rise to emergent phenomena, to address the main stylized facts of income/wealth distribution requires leaving the toolbox of mainstream economics in favour of alternative approaches. The \"k-generalized\" family of income/wealth distributions, building on the categories of complexity, is an example of how advances in the field can be achieved within new interdisciplinary research contexts.
---
中文摘要：
过去几十年来，许多国家的收入和财富分配不断恶化，导致社会内部和社会之间的不平等加剧。这一趋势极大地恢复了人们对这一主题的兴趣，但在主流经济思想领域内，它仍然很少受到关注。其中一个原因是，“标准经济学”的基本范式，即具有代表性的代理人一般均衡框架，在处理分配问题方面能力不足。在这里，我们认为，当经济被视为一个复杂的系统，由许多引起紧急现象的异质互动主体组成时，要解决收入/财富分配的主要程式化事实，就需要离开主流经济学的工具箱，转而采用替代方法。以复杂性类别为基础的“k-广义”收入/财富分布家族是如何在新的跨学科研究背景下实现该领域进步的一个例子。
---
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
--
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。
--
一级分类：Statistics 统计学
二级分类：Methodology 方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
--

---
PDF下载：
-->