K
Kenneth J. Arrow
Researcher at Stanford University
Publications - 412
Citations - 115566
Kenneth J. Arrow is an academic researcher from Stanford University. The author has contributed to research in topics: Social choice theory & Capital (economics). The author has an hindex of 113, co-authored 411 publications receiving 111221 citations. Previous affiliations of Kenneth J. Arrow include University of California & Princeton University.
Papers
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Journal ArticleDOI
Economic Growth, Carrying Capacity, and the Environment
Kenneth J. Arrow,Bert Bolin,Robert Costanza,Partha Dasgupta,Carl Folke,C. S. Holling,Bengt Owe Jansson,Simon A. Levin,Karl-Göran Mäler,Charles Perrings,David Pimentel +10 more
TL;DR: The relation between economic growth and environmental quality, and the link between economic activity and the carrying capacity and resilience of the environment are discussed.
Book
An Extension of the Basic Theorems of Classical Welfare Economics
TL;DR: In this article, the classical theorem of welfare economics on the relation between the price system and the achievement of optimal economic welfare is reviewed from the viewpoint of convex set theory, and it is found that the theorem can be extended to cover the cases where the social optima are of the nature of corner maxima, and also where there are points of saturation in the preference fields of the members of the society.
Posted Content
The Economic Implications of Learning by Doing
TL;DR: In this paper, the authors use the cumulative production of capital goods as the index of experience and show that technical change is attributable to experience. But they assume that new capital goods are assumed to completely embody technical change.
Journal ArticleDOI
Risk perception in psychology and economics
TL;DR: In economics, the concept of rationality has been applied to a world in which time and uncertainty are real as mentioned in this paper, and among its most important manifestations have been criteria for consistency in allocation over time, the expected utility hypothesis of behavior under uncertainty, and what may be termed the Bayesian hypothesis for learning, that is the consistent use of conditional probabilities for changing beliefs on the basis of new information.