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Book Review of The Gini Methodology: A Primer on a Statistical Methodology

机译:书评《基尼方法论:统计方法入门》

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In this book, Shlomo Yitzhaki and Edna Schechtman investigate the "Gini methodology". Both of the authors have dedicated an important part of their life to the development and the understanding of the Gini coefficient and its applications in Statistics, Econometrics, and Economics (welfare and inequality measurement). More generally, the authors have developed (sometimes with other co-authors) a family of parameters based on Gini's mean difference: the Gini covariance (the co-Gini, which is the expression of GMD with the use of the covariance), the Gini correlation (G-correlation), the Extended Gini coefficient (EG), and the Gini parameters of a regression, among others. Those theoretical concepts, including inference purposes as well as the absolute Lorenz curves (i.e. the generalized Lorenz curve) are presented in the first part of the book (Chapters 2-11). The second part (Chapters 12-22) is devoted to the applications.
机译:在本书中,Shlomo Yitzhaki和Edna Schechtman研究了“基尼方法论”。两位作者都致力于发展和理解基尼系数及其在统计,计量经济学和经济学(福利和不平等衡量)中的应用,这是他们生命中的重要部分。更普遍的是,作者(有时与其他合著者)根据基尼的均值差开发了一系列参数:基尼协方差(co-Gini,即使用协方差表示GMD的表达),基尼相关性(G-correlation),扩展基尼系数(EG)和回归的基尼参数等。这些理论概念,包括推理目的以及绝对洛伦兹曲线(即广义洛伦兹曲线),均在本书的第一部分(第2-11章)中介绍。第二部分(第12-22章)专门介绍这些应用程序。

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