David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Cambridge Journal of Economics 26 (1):47-62 (2002)
Uncertainty plays an important role in The General Theory, particularly in the theory of interest rates. Keynes did not provide a theory of uncertainty, but he did make some enlightening remarks about the direction he thought such a theory should take. I argue that some modern innovations in the theory of probability allow us to build a theory which captures these Keynesian insights. If this is the right theory, however, uncertainty cannot carry its weight in Keynes’s arguments. This does not mean that the conclusions of these arguments are necessarily mistaken; in their best formulation they may succeed with merely an appeal to risk.
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Citations of this work BETA
James M. Joyce (2005). How Probabilities Reflect Evidence. Philosophical Perspectives 19 (1):153–178.
Susanna Rinard (2013). Against Radical Credal Imprecision. Thought: A Journal of Philosophy 2 (1):157-165.
Brian Weatherson (2007). The Bayesian and the Dogmatist. Proceedings of the Aristotelian Society 107 (1pt2):169 - 185.
Jeff Kasser (forthcoming). Two Conceptions of Weight of Evidence in Peirce’s Illustrations of the Logic of Science. Erkenntnis:1-20.
Sven Ove Hansson (2008). Do We Need Second-Order Probabilities? Dialectica 62 (4):525-533.
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