Income Distribution Dynamics of Economic Systems - An Econophysical Approach

Informationen zum Autor Marcelo Byrro Ribeiro is Associate Professor at the Physics Institute of the Universidade Federal do Rio de Janeiro. His research focuses on econophysics and complex systems, observational cosmology and the philosophy of science. He is a member of the International Astronomical Union and International Society on General Relativity and Gravitation. Klappentext An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint. Zusammenfassung Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It will be of interest to physicists interested in economic problems, economists who deal with inequality issues, statisticians and applied mathematicians. Inhaltsverzeichnis Preface; Acknowledgments; Part I. Basics: 1. Economics and econophysics; 2. Measuring the income distribution; 3. Piketty's Capital in the Twenty-First Century; Part II. Statistical Econophysics: 4. Stochastic dynamics of income and wealth; Part III. Economic Cycles: 5. Circular flows in economic systems; 6. Goodwin type distributive macrodynamics; Postface; References; Subject index; Author index.

Dettagli sul prodotto

• Autori: Marcelo Byrro Ribeiro, Marcelo Byrro (Universidade Federal Do Ri Ribeiro, Marcelo Byrro (Universidade Federal do Rio de Janeiro) Ribeiro
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 30.04.2020
• EAN: 9781107092532
• ISBN: 978-1-107-09253-2
• Pagine: 332
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze sociali, diritto, economia > Economia > Economia politica; Economics, Ökonometrie und Wirtschaftsstatistik, BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Economics / Macroeconomics, Business / Economics / Finance, Economic statistics, Probability & statistics, Applied mathematics, Statistical physics, Econometrics and economic statistics