Probabilidad e incertidumbre en Keynes. Una revisión de tipo bayesiano
Uncertainty and probability in Keynes. A Bayesian-type review
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Este articulo analiza el concepto de probabilidad en la obra de Keynes y propone un metodo para formalizar la nocion de la incertidumbre en la Teoría general utilizando el teorema de Bayes y el principio de maxima entropia. Una de las principales conclusiones es que, a pesar de compartir su rechazo del enfoque frecuentista de la estadistica, es poco razonable pensar que no se pueden determinar probabilidades numericas, aunque se cumpla algun criterio de objetividad.
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Bateman, B. (1987). Keynes’s changing conception of probability. Economics and Philosophy, 3(1), 97-119.
Bauwens, L., Lubrano, M. y Richard, J.-F. (2000). Bayesian inference in dynamic econometric models. Oxford: Oxford University Press.
Carabelli, A. (1988). On Keynes’s method. Nueva York: Palgrave Macmillan.
Cover, T. y Thomas, J. (2006). Elements of information theory. Hoboken: Wiley & Sons.
Cox, R. (1961). The algebra of probable inference. Baltimore: The John Hopkins Press.
Feduzi, A. (2007). On the relationship between Keynes’s conception of evidential weight and the Ellsberg Paradox. Journal of Economic Psychology, 28(5), 545-565.
Feduzi, A., Runde, J. y Zappia, C. (2013). De Finetti on Uncertainty. Cambridge Journal of Economics, 38(1), 1-21.
Jaynes, E. (1957). Information theory and statistical mechanics. The Physical Review, 106(4), 620-630.
Jaynes, E. (2003). Probability theory: The logic of science. Cambridge: Cambridge University Press.
Keynes, J. M. (1921). A treatise on probability. En E. Johnson y D. Moggridge (eds.), The collected writings of John Maynard Keynes, v. VIII. Cambridge: Cambridge University Press for the Royal Society.
Keynes, J. M. (1933). Essays in biography En E. Johnson y D. Moggridge (eds.), The collected writings of John Maynard Keynes, v. X. Cambridge: Cambridge University Press for the Royal Society.
Keynes, J. M. (1936). The general theory. En E. Johnson y D. Moggridge (eds.), The collected writings of John Maynard Keynes (vol. VII). Cambridge: Cambridge University Press for the Royal Society.
Keynes, J. M. (1973). The general theory and after: Part II. Defence and development. En E. Johnson y D. Moggridge (eds.), The collected writings of John Maynard Keynes, v. XIV. Cambridge: Cambridge University Press for the Royal Society.
Lindley, D. (1987). Using expert advice on a skew judgmental distribution. Operations Research, 35(5), 716-721.
Lindley, D. (2000). The philosophy of statistics. Journal of the Royal Society. Series D, 49(3), 293-337.
O’Donnel, R. (1989). Keynes: Philosophy, economics and politics. Nueva York: Palgrave Macmillan.
Patinkin, D. (1976). Keynes and econometrics: On the interaction between the macroeconomic revolutions of the interwar period. Econometrica, 44(6), 1091-1123.
Ramsey, F. (1960). Truth and probability [1926]. En R. Braithwaite, The foundations of mathematics and other logical essays. Londres: Littlefield, Adams & Co.
Roncaglia, A. (2009). Keynes and probability: An assessment. The European Journal of the History of Economic Thought, 16(3), 489-510.
Samuelson, P. (1946). Lord Keynes and the General Theory. Econometrica, 14(3), 187-200.
Zellner, A. (1971). An introduction to Bayesian inference in econometrics. Nueva York: Wiley.
Zellner, A. (1991). Bayesian methods and entropy in economics and econometrics. En W. Grandy e I. Shick, Maximum entropy and Bayesian methods. Fundamental theories of physics. Dordrecht: Springer.
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