Macroeconomics and Methodology
Probabilistic reasoning is essential to discourse in economics. This is true in any discipline in which, as in economics, data collection is constrained and beliefs about the phenomena being studied are crucial to decisions that cannot be delayed. Some economists have recently turned away from form probabilistic inference, in part because of legitimate discontent with the prescriptions of specialized econometricians. However, this turning away has gone in mutually inconsistent directions and is in the long run unsustainable. It should be more widely recognized that careful applied work in macroeconomics, using steadily advancing probabilistic modeling techniques, has been steadily increasing.
Volume (Year): 10 (1996)
Issue (Month): 1 (Winter)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Working Paper Series, Macroeconomic Issues
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NBER Working Papers
3487, National Bureau of Economic Research, Inc.
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Discussion Paper / Institute for Empirical Macroeconomics
11, Federal Reserve Bank of Minneapolis.
- Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
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