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Gini Inequality Index - Methods and Applications (Hardcover)
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Gini Inequality Index - Methods and Applications (Hardcover)
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"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.
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