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Book The Gini Methodology

Download or read book The Gini Methodology written by Shlomo Yitzhaki and published by Springer. This book was released on 2012-11-13 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book The Gini Methodology

    Book Details:
  • Author : Shlomo Yitzhaki
  • Publisher : Springer Science & Business Media
  • Release : 2012-11-13
  • ISBN : 1461447208
  • Pages : 549 pages

Download or read book The Gini Methodology written by Shlomo Yitzhaki and published by Springer Science & Business Media. This book was released on 2012-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Gini Inequality Index

Download or read book Gini Inequality Index written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2021-04-21 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Book Gini Inequality Index

Download or read book Gini Inequality Index written by Nitis Mukhopadhyay and published by CRC Press. This book was released on 2021-04-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Book A Gini Based Methodology for Identifying and Analyzing Time Series with Non Normal Innovations

Download or read book A Gini Based Methodology for Identifying and Analyzing Time Series with Non Normal Innovations written by Amit Shelef and published by . This book was released on 2014 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Top Incomes

Download or read book Top Incomes written by A. B. Atkinson and published by OUP Oxford. This book was released on 2010-04-01 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rapidly growing area of economic research investigates the top of the income distribution using data from income tax records. This volume brings together studies of top incomes for twelve countries from around the world, including China, India, Japan, Argentina and Indonesia. Together with the first volume, published in 2007, the studies cover twenty two countries. They have a long time span, the earliest data relating to 1875 (for Norway), allowing recent developments to be placed in historical perspective. The volume describes in detail the source data and the methods employed. It will be an invaluable reference source for researchers in the field. Individual country chapters deal with the specific nature of the data for each of the countries, and describe the long-term evolution of top income shares. In the countries as a whole, dramatic changes have taken place at the top of the income distribution. Over the first part of the century, top income shares fell markedly. This largely took the form of a reduction in capital incomes. The different authors examine the impact of the First and Second World Wars, contrasting countries that were and were not engaged. They consider the impact of depressions and banking crises, and pay particular attention to the impact of progressive taxation. In the last 30 years, the shares of top incomes have increased markedly in the US and other Anglo-Saxon countries, reflecting the increased dispersion of earnings. The volume includes statistics on the much-discussed top pay and bonuses, providing a global perspective that discusses important differences between countries such as the lesser increase in Continental Europe. This book, together with volume 1, documents this interesting development and explores the underlying causes. The findings are brought together in a final summary chapter by Atkinson, Piketty and Saez.

Book The Relationship Between Gini Methodology and the ROC Curve

Download or read book The Relationship Between Gini Methodology and the ROC Curve written by Edna Schechtman and published by . This book was released on 2016 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Measuring Inequality

Download or read book Measuring Inequality written by Frank Alan Cowell and published by . This book was released on 2011 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text examines the underlying principles of inequality measurement and its relation to welfare economics, distributional analysis, and information theory. The book covers modern theoretical developments in inequality analysis, as well as showing how the way we think about inequality today has been shaped by classic contributions in economics and related disciplines.

Book The Journalist and the Gini Coefficient

Download or read book The Journalist and the Gini Coefficient written by J. J. Thompson and published by . This book was released on 1995 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Measuring Education Inequality

Download or read book Measuring Education Inequality written by Vinod Thomas and published by World Bank Publications. This book was released on 2001 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal access to education is a basic human right. But in many countries gaps in education between various groups are staggering. An education Gini index -- a new indicator for the distribution of human capital and welfare -- facilitates comparison of education inequality across countries and over time.

Book Income Inequality and Poverty

Download or read book Income Inequality and Poverty written by Nanak Kakwani and published by New York : Published for the World Bank [by] Oxford University Press. This book was released on 1980 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deals with income distribution methods and their economic applications.

Book A Method of Measuring the Gini Ratio of Income Inequality

Download or read book A Method of Measuring the Gini Ratio of Income Inequality written by Oyugi Aseto and published by . This book was released on 1977 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Econometrics  Income Distribution and Scientific Methodology

Download or read book Advances in Econometrics Income Distribution and Scientific Methodology written by Daniel J. Slottje and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Assessing Inequality

Download or read book Assessing Inequality written by Lingxin Hao and published by SAGE Publications. This book was released on 2010-05-26 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers.

Book Data Analysis and Classification

Download or read book Data Analysis and Classification written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2021-06-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

Book Modeling Income Distributions and Lorenz Curves

Download or read book Modeling Income Distributions and Lorenz Curves written by Duangkamon Chotikapanich and published by Springer Science & Business Media. This book was released on 2008-09-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that “I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve. For how shall we know the source of inequality between men, if we do not begin by knowing mankind?” (Rousseau, 1754). This citation of Rousseau appears in an article in Spanish where Dagum (2001), in the memory of whom this book is published, also cites Socrates who said that the only useful knowledge is that which makes us better and Seneca who wrote that knowing what a straight line is, is not important if we do not know what rectitude is. These references are indeed a good illustration of Dagum’s vast knowledge, which was clearly not limited to the ?eld of Economics. For Camilo the ?rst part of Rousseau’s citation certainly justi?ed his interest in the ?eld of inequality which was at the centre of his scienti?c preoccupations. It should however be stressed that for Camilo the second part of the citation represented a “solid argument in favor of giving macroeconomic foundations to microeconomic behavior” (Dagum, 2001). More precisely, “individualism and methodological holism complete each other in contributing to the explanation of individual and social behavior” (Dagum, 2001).

Book Airline Network Development in Europe and its Implications for Airport Planning

Download or read book Airline Network Development in Europe and its Implications for Airport Planning written by Guillaume Burghouwt and published by Routledge. This book was released on 2016-03-23 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ongoing deregulation and liberalization of worldwide air transport markets confronts airport planners with an increasingly problematic context. On the one hand, the capital intensive, large-scale and complex airport investments need a detailed, long/medium-term planning of airport infrastructure. Such planning requires at least predictable traffic volumes (and traffic composition) within the planning horizon. On the other hand, airline route networks are increasingly dynamic structures that frequently show discontinuous changes. As a consequence, the much more volatile airport traffic restricts the value of detailed traffic forecasts. Volatility of airport traffic and its composition requires flexibility of airport strategies and planning processes. The book explores this dilemma through a detailed study of airline network development, airport connectivity and airport planning in the deregulated EU air transport market. The questions the book seeks to answer are: · how have airlines responded to the regime changes in EU aviation with respect to the configuration of their route networks? · what has been the impact of the reconfiguration of airline network configurations for the connectivity of EU airports? · how can airport planners and airport authorities deal with the increasingly uncertain airline network behaviour in Europe?