J.M. Keynes Versus F.H. Knight J.M. Keynes Versus F.H. Knight
Evolutionary Economics and Social Complexity Science

J.M. Keynes Versus F.H. Knight

Risk, Probability, and Uncertainty

    • €97.99
    • €97.99

Publisher Description

This book critically discusses and systematically compares J.M. Keynes and F. H. Knight, two giants in the history of economic thought. In 1921 they both published apparently similar books on risk, probability, and uncertainty. However, while Knight's contribution on risk and uncertainty is now well recognized, Keynes's work on probability and uncertainty has been somewhat ignored in the shadow of his more famous The General Theory of Employment, Interest and Money (1936). Focusing on an earlier yet equally important volume by Keynes, A Treatise on Probability (1921), this book sheds a light on his outstanding ideas and the lasting influence on his later works, including The General Theory. There are few books that systematically discuss Keynes and Knight, although there are remarkable comparisons between Keynes's concept of probability and uncertainty and Knight's distinction between a measurable risk and a non-measurable uncertainty. This timely book unifies Keynes and Knight into a new, comprehensive approach to a very complex human behavior

GENRE
Business & Personal Finance
RELEASED
2019
28 June
LANGUAGE
EN
English
LENGTH
173
Pages
PUBLISHER
Springer Nature Singapore
SIZE
3.4
MB

More Books by Yasuhiro Sakai

Other Books in This Series

Interacting Complexities of Herds and Social Organizations Interacting Complexities of Herds and Social Organizations
2019
From Reproduction to Evolutionary Governance From Reproduction to Evolutionary Governance
2020
Co-patenting: An Analytic Tool for Cooperative Research and Development Co-patenting: An Analytic Tool for Cooperative Research and Development
2019
Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics
2020
Sociophysics Approach to Epidemics Sociophysics Approach to Epidemics
2021
Principal Component Analysis and Randomness Test for Big Data Analysis Principal Component Analysis and Randomness Test for Big Data Analysis
2023