The Gini Methodology

The Gini Methodology
Author: Shlomo Yitzhaki
Publisher: Springer Science & Business Media
Total Pages: 549
Release: 2012-11-13
Genre: Mathematics
ISBN: 1461447208

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.

Gini Inequality Index

Gini Inequality Index
Author: Nitis Mukhopadhyay
Publisher: CRC Press
Total Pages: 177
Release: 2021-04-21
Genre: Mathematics
ISBN: 1000349187

"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

The Gini Methodology
Author: Shlomo Yitzhaki
Publisher: Springer
Total Pages: 548
Release: 2012-11-13
Genre: Mathematics
ISBN: 9781461447214

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.

Top Incomes

Top Incomes
Author: A. B. Atkinson
Publisher: Oxford University Press
Total Pages: 799
Release: 2010-04
Genre: Business & Economics
ISBN: 0199286892

This volume brings together an exciting range of new studies of top incomes in a wide range of countries from around the world. The studies use data from income tax records to cast light on the dramatic changes that have taken place at the top of the income distribution. The results cover 22 countries and have a long time span, going back to 1875.

Measuring Inequality

Measuring Inequality
Author: Frank Alan Cowell
Publisher:
Total Pages: 233
Release: 2011
Genre: Income distribution
ISBN: 9780191808654

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.

Ten Thousand Years of Inequality

Ten Thousand Years of Inequality
Author: Timothy A. Kohler
Publisher: University of Arizona Press
Total Pages: 353
Release: 2018-04-17
Genre: History
ISBN: 0816537747

"Field-defining research that will set the standard for understanding inequality in archaeological contexts"--Provided by publisher.

Income Inequality and Poverty

Income Inequality and Poverty
Author: Nanak Kakwani
Publisher: New York : Published for the World Bank [by] Oxford University Press
Total Pages: 436
Release: 1980
Genre: Business & Economics
ISBN:

Deals with income distribution methods and their economic applications.

Data Analysis and Classification

Data Analysis and Classification
Author: Krzysztof Jajuga
Publisher: Springer Nature
Total Pages: 352
Release: 2021-06-28
Genre: Business & Economics
ISBN: 3030751902

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.

Assessing Inequality

Assessing Inequality
Author: Lingxin Hao
Publisher: SAGE Publications
Total Pages: 161
Release: 2010-05-26
Genre: Social Science
ISBN: 1483342638

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.

Airline Network Development in Europe and its Implications for Airport Planning

Airline Network Development in Europe and its Implications for Airport Planning
Author: Guillaume Burghouwt
Publisher: Routledge
Total Pages: 360
Release: 2016-03-23
Genre: Business & Economics
ISBN: 1317183002

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?