Autor: Hiroshi Yoshikawa

Soporte
Hiroshi Yoshikawa is professor emeritus at the University of Tokyo and honorary president of the Policy Research Institute, Ministry of Finance, Japan. His area of expertise is macroeconomics and the Japanese economy. He obtained a B.A. in economics from the University of Tokyo in 1974 and a Ph.D. in economics at Yale University in 1978. His Ph.D. advisor was the late James Tobin. Professor Yoshikawa’s key publications include Macroeconomics and the Japanese Economy (Oxford University Press 1995),  Reconstructing Macroeconomics: A Perspective from Statistical Physics and Combinatorial Stochastic Processes (Cambridge University Press 2007), with Masanao Aoki; Macro-Econophysics (Cambridge University Press 2017), with Hideaki Aoyama, Yoshi Fujiwara, Yuichi Ikeda, Hiroshi Iyetomi, and Wataru Souma; and Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics (Springer 2020), with Hideaki Aoyama and Yuji Aruka. Professor Yoshikawa was awarded the Medal with Purple Ribbon from the Japanese government in 2010.




7 Ebooks de Hiroshi Yoshikawa

Hideaki (Kyoto University, Japan) Aoyama & Yoshi Fujiwara: Macro-Econophysics
The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, an …
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€101.23
Hideaki Aoyama & Yuji Aruka: Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics
 This book systematically provides a prospective integrated approach for complexity social science in its view of statistical physics and mathematics, with an impressive collection of …
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Inglés
€117.69
Hiroshi Yoshikawa: Reconstruction of Macroeconomics: Methods of Statistical Physics, and Keynes’ Principle of Effective Demand
This book explains how standard micro-founded macroeconomics is misguided and proposes an alternative method based on statistical physics. The Great Recession following the bankruptcy of Lehman Broth …
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Inglés
€117.69