The Gini Methodology
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Gini Inequality Index
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Author : Nitis Mukhopadhyay
language : en
Publisher: CRC Press
Release Date : 2021-04-21
Gini Inequality Index written by Nitis Mukhopadhyay and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-21 with Mathematics categories.
"Prof. Nitis Mukhopadhyay and Prof. Partha Pratim Sengupta, who edited this volume with great attention and rigor, have certainly carried out noteworthy activities." - Giovanni Maria Giorgi, University of Rome (Sapienza) "This book is an important contribution to the development of indices of disparity and dissatisfaction in the age of globalization and social strife." - Shelemyahu Zacks, SUNY-Binghamton "It will not be an overstatement when I say that the famous income inequality index or wealth inequality index, which is most widely accepted across the globe is named after Corrado Gini (1984-1965). ... I take this opportunity to heartily applaud the two co-editors for spending their valuable time and energy in putting together a wonderful collection of papers written by the acclaimed researchers on selected topics of interest today. I am very impressed, and I believe so will be its readers." - K.V. Mardia, University of Leeds Gini coefficient or Gini index was originally defined as a standardized measure of statistical dispersion intended to understand an income distribution. It has evolved into quantifying inequity in all kinds of distributions of wealth, gender parity, access to education and health services, environmental policies, and numerous other attributes of importance. Gini Inequality Index: Methods and Applications features original high-quality peer-reviewed chapters prepared by internationally acclaimed researchers. They provide innovative methodologies whether quantitative or qualitative, covering welfare economics, development economics, optimization/non-optimization, econometrics, air quality, statistical learning, inference, sample size determination, big data science, and some heuristics. Never before has such a wide dimension of leading research inspired by Gini's works and their applicability been collected in one edited volume. The volume also showcases modern approaches to the research of a number of very talented and upcoming younger contributors and collaborators. This feature will give readers a window with a distinct view of what emerging research in this field may entail in the near future.
The Gini Methodology
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Author : Shlomo Yitzhaki
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-13
The Gini Methodology written by Shlomo Yitzhaki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-13 with Mathematics categories.
Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.
Measuring Inequality
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Author : Philip B. Coulter
language : en
Publisher: Routledge
Release Date : 2019-09-19
Measuring Inequality written by Philip B. Coulter and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with Social Science categories.
The impetus to write this book grew out of curiosity and frustration. For a research project in which I was involved, I wanted to select an appropriate index to measure inequality, so I searched for a book that comprehensively reviewed the available indexes, identified their operational similarities and differences, and clarified their theoretical undetpinnings. Discovering that no such book existed, I became increasingly frustrated and curious. It became evident that I would have to undertake my own systematic review of the literature, presumably in my own discipline, in order to identify the alternative measures and choose an appropriate one on the basis of proper theoretical and methodological criteria. This effort led to additional frustrating discoveries. First, I encountered a bewildering abundance of inequality indexeswell over ftfty distinguishable measures. Second, my review of the methodological literature on inequality measurement took me through the issues of literally scores of professional journals in five academic disciplines-economics, geography, political science, sociology, and statistics. Third, although I found some cross-disciplinary referencing of inequality measures, by and large each discipline's inequality measurement remained insulated from that of other disciplines.
Advances In Econometrics Income Distribution And Scientific Methodology
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Author : Daniel J. Slottje
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Advances In Econometrics Income Distribution And Scientific Methodology written by Daniel J. Slottje and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Articles on econometric methodology with special reference to the quantification of poverty and economic inequality are presented in this book. Poverty and inequality measurement present special problems to the econometrician, and most of these papers analyze how to attack those problems. The topics and contributions in the book are a very good representation of Camilo Dagum's astounding diversity of interests and overall eclecticism. Several of the authors are leading pioneers in econometric methodology. Several others are pioneers in economic theory and others are the leading applied economists in income distribution analysis in the world. The topics accurately reflect Camilo Dagum's breadth of understanding across varios economic sub-fields, all complex in nature.
Gini Coefficient
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Author : Giovanni Maria Giorgi
language : en
Publisher:
Release Date : 2020
Gini Coefficient written by Giovanni Maria Giorgi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Economics categories.
The Gini coefficient (G) is an index for measuring inequality. This entry reviews the use of the G since its appearance in the literature in 1914. It discusses how the Italian statistician Corrado Gini developed it. The entry highlights methodological aspects to explain the various formulas that can be used to calculate the G value and to show the links with the Lorenz curve and the mean difference. It also discusses how some scholars have come to the same results using different formulas of G, depending on the investigated subject. An application to real data is also provided in order to make the use of G simple and immediate. Finally, the extreme topicality of the Gini index is underlined by showing how it is currently used in fields other than economics - such as in archaeology, hydrology, insurance, biomedicine, geosciences, and to evaluate scientific productivity of universities and departments.
A Method Of Measuring The Gini Ratio Of Income Inequality
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Author : Oyugi Aseto
language : en
Publisher:
Release Date : 1977
A Method Of Measuring The Gini Ratio Of Income Inequality written by Oyugi Aseto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Income distribution categories.
Variance Estimation And Prediction Of Gini Coefficient For Income Distribution Using Asymptotic Expansions And Resampling Methods
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Author : Christos C. Frangos
language : en
Publisher:
Release Date : 2014
Variance Estimation And Prediction Of Gini Coefficient For Income Distribution Using Asymptotic Expansions And Resampling Methods written by Christos C. Frangos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
In the present paper we consider the Coefficient of Gini (Kendall and Stuart, 1982), for income distribution. This statistic is derived from data showing the annual taxes paid by the Greek taxpayers, for years 1960 to 1996. An intractable issue is the estimation of its variance because of the complication of its distribution. Applying von Mises asymptotic expansions for differentiable statistical functionals (Hinkley, 1978), (Frangos, 1980) we estimate the variance of Gini coefficient for a set of frequency data regarding a particular year. Robust confidence intervals for Gini coefficient are constructed using the jackknife statistical methodology. Treating the series of Gini estimates from 1960 from to 1996 as a time series from an autoregressive model, we estimate its parameters using the bootstrap methodology, (Davison and Hinkley, 1997) and we compare the bootstrap confidence intervals for the parameters with the least squares ones. Finally, three autoregressive models for prediction of Gini Coefficient are compared with respect to their predictive errors. A simple autoregressive model is selected for prediction purposes. The above comparisons support the argument of a clear superiority of the bootstrap confidence intervals, with respect to their length, over the quot;classicalquot; method of least squares.
A Gini Based Methodology For Identifying And Analyzing Time Series With Non Normal Innovations
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Author : Amit Shelef
language : en
Publisher:
Release Date : 2014
A Gini Based Methodology For Identifying And Analyzing Time Series With Non Normal Innovations written by Amit Shelef and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
The objective of this paper is to suggest a visual method for identifying departures from normality of the innovations in times series models. The method is based on replacing the variance by the Gini as the measure of variability. The Gini methodology is a rank-based methodology, which takes into account both the variate values and the ranks. It relies only on first order moment assumptions hence it is valid for a wider range of distributions. The key idea lies in the fact that there are two Gini-autocorrelation functions for each pair of variables, which are not necessarily equal. The difference between them, when it exists, can be informative and may assist to identify models with underlying heavy tailed and non-normal innovations. We suggest using Gini-correlograms, a simple graphical tool, to check the symmetry assumption which is natural in the existing methodology. We illustrate the suggested methodology using simulations.
The Gini Coefficient And Negative Income
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Author : Chau-nan Chen
language : en
Publisher:
Release Date : 19??
The Gini Coefficient And Negative Income written by Chau-nan Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 19?? with Gini coefficient categories.
The Relationship Between Gini Methodology And The Roc Curve
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Author : Edna Schechtman
language : en
Publisher:
Release Date : 2016
The Relationship Between Gini Methodology And The Roc Curve written by Edna Schechtman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The connection between the area under the ROC curve (AUC), which is frequently used in the diagnosis and classification literature, and the Gini terminology, which is mainly used in the economic literature, is clarified. It is shown that AUC is related to the covariance between Yi, the number of 1's until the ith 0, and F(Ti), the empirical rank of the ith 0, ordered by the predictive probability.