Improving economic forecasting with Bayesian vector autoregression
AbstractNo abstract is available for this item.
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Bibliographic InfoArticle provided by Federal Reserve Bank of Minneapolis in its journal Quarterly Review.
Volume (Year): (1984)
Issue (Month): Fall ()
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.:
- James G. Hoehn & William C. Gruben & with Thomas B. Fomby, 1984. "Some time series methods of forecasting the Texas economy," Working Papers 8402, Federal Reserve Bank of Dallas.
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983.
"Forecasting and Conditional Projection Using Realistic Prior Distributions,"
NBER Working Papers
1202, National Bureau of Economic Research, Inc.
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
- John H. Kareken, 1983. "Deposit insurance reform or deregulation is the cart, not the horse," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Spr.
- Robert B. Litterman & Thomas M. Supel, 1983. "Using vector autoregressions to measure the uncertainty in Minnesota's revenue forecasts," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Spr.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Robert B. Litterman, 1984. "Forecasting with Bayesian vector autoregressions four years of experience," Staff Report 95, Federal Reserve Bank of Minneapolis.
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