Authors:
- Offers a compendium of original contributions on the parametric modeling of income and wealth distribution
- Thoroughly discusses the ?-generalized distribution and describes the advantages of this parametric model
- Contains many up-to-date applications to income and wealth data
- K-generalized distribution and describes the advantages of this parametric model
- Includes supplementary material: sn.pub/extras
Part of the book series: New Economic Windows (NEW)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Keywords
Authors and Affiliations
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University of Macerata, Macerata, Italy
Fabio Clementi
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Polytechnic University of Marche, Ancona, Italy
Mauro Gallegati
About the authors
Fabio Clementi, PhD, is Assistant Professor of Economics at the University of Macerata (Italy). His main research interests focus on the size distribution of income, wealth and firms, the business cycle analysis, and the empirical validation of agent-based economic models with real-world data. He has also been involved in national and international research projects in the field of agent-based computational economics.
Bibliographic Information
Book Title: The Distribution of Income and Wealth
Book Subtitle: Parametric Modeling with the κ-Generalized Family
Authors: Fabio Clementi, Mauro Gallegati
Series Title: New Economic Windows
DOI: https://doi.org/10.1007/978-3-319-27410-2
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-27408-9Published: 10 February 2016
Softcover ISBN: 978-3-319-80135-3Published: 30 March 2018
eBook ISBN: 978-3-319-27410-2Published: 21 December 2015
Series ISSN: 2039-411X
Series E-ISSN: 2039-4128
Edition Number: 1
Number of Pages: XVI, 177
Number of Illustrations: 24 b/w illustrations
Topics: Econometrics, Data-driven Science, Modeling and Theory Building, Organizational Studies, Economic Sociology, Statistics for Business, Management, Economics, Finance, Insurance, Game Theory, Economics, Social and Behav. Sciences