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.:
- Martin Eichenbaum & Charles Evans, 1992.
"Some empirical evidence on the effects of monetary policy shocks on exchange rates,"
Working Paper Series, Macroeconomic Issues
92-32, Federal Reserve Bank of Chicago.
- Martin Eichenbaum & Charles L. Evans, 1993. "Some Empirical Evidence on the Effects of Monetary Policy Shocks on Exchange Rates," NBER Working Papers 4271, National Bureau of Economic Research, Inc.
- Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-1041, December.
- Mark W. Watson, 1991. "Measures of Fit for Calibrated Models," NBER Technical Working Papers 0102, National Bureau of Economic Research, Inc.
- Mark W. Watson, 1991. "Measures of fit for calibrated models," Working Paper Series, Macroeconomic Issues 91-9, Federal Reserve Bank of Chicago.
- McCloskey, Donald N, 1983. "The Rhetoric of Economics," Journal of Economic Literature, American Economic Association, vol. 21(2), pages 481-517, June.
- Christopher A. Sims, 1989. "Models and Their Uses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 489-494.
- Christopher A. Sims, 1989. "Models and their uses," Discussion Paper / Institute for Empirical Macroeconomics 11, Federal Reserve Bank of Minneapolis.
- Sims, Christopher A., 1988. "Bayesian skepticism on unit root econometrics," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 463-474.
- Christopher A. Sims, 1988. "Bayesian skepticism on unit root econometrics," Discussion Paper / Institute for Empirical Macroeconomics 3, Federal Reserve Bank of Minneapolis.
- Tom Doan, "undated". "BAYESTST: RATS procedure to perform Bayesian Unit Root test," Statistical Software Components RTS00014, Boston College Department of Economics.
- Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
- Ben S. Bernanke & Alan S. Blinder, 1989. "The federal funds rate and the channels of monetary transmission," Working Papers 89-10, Federal Reserve Bank of Philadelphia.
- Ben Bernanke, 1990. "The Federal Funds Rate and the Channels of Monetary Transnission," NBER Working Papers 3487, National Bureau of Economic Research, Inc.
- Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September. Full references (including those not matched with items on IDEAS)
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