英文标题：
《How log-normal is your country? An analysis of the statistical
  distribution of the exported volumes of products》
---
作者：
Mario Alberto Annunziata, Alberto Petri, Giorgio Pontuale, and Andrea
  Zaccaria
---
最新提交年份：
2015
---
英文摘要：
  We have considered the statistical distributions of the volumes of the different products exported by 148 countries. We have found that the form of these distributions is not unique but heavily depends on the level of development of the nation, as expressed by macroeconomic indicators like GDP, GDP per capita, total export and a recently introduced measure for countries\' economic complexity called fitness. We have identified three major classes: a) an incomplete log-normal shape, truncated on the left side, for the less developed countries, b) a complete log-normal, with a wider range of volumes, for nations characterized by intermediate economy, and c) a strongly asymmetric shape for countries with a high degree of development. The ranking curves of the exported volumes from each country seldom cross each other, showing a clear hierarchy of export volumes. Finally, the log-normality hypothesis has been checked for the distributions of all the 148 countries through different tests, Kolmogorov-Smirnov and Cramer-Von Mises, confirming that it cannot be rejected only for the countries of intermediate economy.
---
中文摘要：
我们考虑了148个国家不同产品出口量的统计分布。我们发现，这些分布的形式并不独特，但在很大程度上取决于国家的发展水平，如GDP、人均GDP、出口总额等宏观经济指标，以及最近引入的一种衡量国家经济复杂性的指标——适应性。我们确定了三个主要类别：a）不完全对数正态形状，左侧截断，适用于欠发达国家；b）完整对数正态形状，具有更大的体积范围，适用于以中等经济为特征的国家；以及c）高度发展国家的强不对称形状。每个国家的出口量排名曲线很少相互交叉，显示出出口量的清晰等级。最后，通过科尔莫戈罗夫·斯米尔诺夫和克拉默·冯·米塞斯的不同测试，对所有148个国家的分布进行了对数正态性假设检验，确认不能仅对中等经济国家拒绝对数正态性假设。
---
分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--

---
PDF下载：
-->