Authors:
- Provides new insight into the origins of the econophysics movement
- Situates the contributions of authors who might be considered to be econophysicists in the modern sense, in context with earlier Italian contributions to scientific work on scientific data
- Addresses an under-represented area of the market
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Reviews
“Tusset’s book is a thought-provoking study on the origins and development of the peculiar discipline of econophysics … . This may be the most relevant lesson for econophysicists to take home from this interesting book.” (Enrico Petracca, History of Economic Thought and Policy, Vol. 2, 2019)
“This book takes a fascinating journey through several stylized facts, and the economic foundations theorized by the Italian “economic physics” tradition that has its methodological roots in Galileo. Towering figures - of the likes of Pareto - are seen in a convincing new light, in a scenario where heterogeneity, emergence and complexity converge in the world of econophysics.” (Mauro Gallegati, Professor of Macroeconomics, Polytechnic University of Marche)
Authors and Affiliations
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University of Padova, Padova, Italy
Gianfranco Tusset
About the author
Bibliographic Information
Book Title: From Galileo to Modern Economics
Book Subtitle: The Italian Origins of Econophysics
Authors: Gianfranco Tusset
DOI: https://doi.org/10.1007/978-3-319-95612-1
Publisher: Palgrave Macmillan Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018
Hardcover ISBN: 978-3-319-95611-4Published: 24 September 2018
Softcover ISBN: 978-3-030-07070-0Published: 26 January 2019
eBook ISBN: 978-3-319-95612-1Published: 08 September 2018
Edition Number: 1
Number of Pages: XI, 210
Number of Illustrations: 8 b/w illustrations
Topics: History of Economic Thought/Methodology, Economic Theory/Quantitative Economics/Mathematical Methods, Finance, general, Theoretical, Mathematical and Computational Physics