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Reconstruction of Macroeconomics: Methods of Statistical Physics, and Keynes' Principle of Effective Demand (Hardcover, 1st ed. 2022)
Loot Price: R3,288
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Reconstruction of Macroeconomics: Methods of Statistical Physics, and Keynes' Principle of Effective Demand (Hardcover, 1st ed. 2022)
Series: Advances in Japanese Business and Economics, 3
Expected to ship within 10 - 15 working days
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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
Brothers in September 2015 amply demonstrated that mainstream
micro-founded macroeconomics was in trouble. The new approach
advanced in this book reasonably explains important macro-problems
such as employment, business cycles, growth, and
inflation/deflation. The key concept is demand failures, which
modern micro-founded macroeconomics has ignored. "It (Chapter 3)
captures analytically a good part of the intuition that underlies
the Keynesian economics of people like Tobin and me." Robert Solow,
Emeritus Institute Professor of Economics, Massachusetts Institute
of Technology, Nobel Laureate in Economics, 1987 "Professor Hiroshi
Yoshikawa provides a unique synthesis of statistical physics and
macro-economic theory in order to confront the dismal failure in
economics and in finance to understand how an economy or a
financial market works, given the heterogeneous decision making of
many different individual interacting actors. Economics has failed
in this regard with the naive and often misleading concept of
"representative agents." The author presents many insights on the
historical development, concepts, and errors made by the most
illustrious economists in the past. This book should be essential
readings for any economics students as well as academic researchers
and policy makers, who should learn to bring back good-sense
thinking in their impactful decisions." Didier Sornette, Professor
on the Chair of Entrepreneurial Risks at the Swiss Federal
Institute of Technology Zurich (ETH Zurich)
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