This file is part of IDEAS , which uses RePEc data
[ Papers |
Articles |
Software |
Books |
Chapters |
Authors |
Institutions |
JEL Classification |
NEP reports |
Search |
New papers by email |
Author registration |
Rankings |
Volunteers |
FAQ |
Blog |
Help! ]
Forecasting with Bayesian vector autoregressions four years of experience Author info | Abstract | Publisher info | Download info | Related research | Statistics Robert B. Litterman
Additional information is available for the following
registered author(s):
Replaced by Working Paper 274 (July 1985)
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page . Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Paper provided by Federal Reserve Bank of Minneapolis in its series Staff Report with number
95.
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Length:
Date of creation: 1984Date of revision:
Handle: RePEc:fip:fedmsr:95Contact details of provider: Postal: 90 Hennepin Avenue, P.O. Box 291, Minneapolis, MN 55480-0291 Phone: (612) 204-5000 Web page: http://minneapolisfed.org/ More information through EDIRC
Order Information: Email: Web: http://www.minneapolisfed.org/pubs/
For technical questions regarding this item, or to correct its listing, contact: (Diane Rosenberger).
Keywords: This paper has been announced in the following NEP Reports :
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.: Leamer, Edward E, 1972.
"A Class of Informative Priors and Distributed Lag Analysis ,"
Econometrica ,
Econometric Society, vol. 40(6), pages 1059-81, November.
[Downloadable!] (restricted)
Robert B. Litterman, 1979.
"Techniques of forecasting using vector autoregressions ,"
Working Papers
115, Federal Reserve Bank of Minneapolis.
[Downloadable!]
Robert J. Gordon & James A. Wilcox, 1981.
"Monetarist Interpretations of the Great Depression: An Evaluation and Critique ,"
NBER Working Papers
0300, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Full
references Cited by : (explanations , 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.)
Richard M. Todd, 1984.
"Improving economic forecasting with Bayesian vector autoregression ,"
Quarterly Review ,
Federal Reserve Bank of Minneapolis, issue Fall.
[Downloadable!]
Ray C. Fair & Robert J. Shiller, 1990.
"Econometric Modeling as Information Aggregation ,"
NBER Working Papers
2233, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions: Peter C.B. Phillips, 1985.
"Asymptotic Expansions in Nonstationary Vector Autoregressions ,"
Cowles Foundation Discussion Papers
765, Cowles Foundation, Yale University.
[Downloadable!]
Other versions: Peter C.B. Phillips & Steven N. Durlauf, 1985.
"Multiple Time Series Regression with Integrated Processes ,"
Cowles Foundation Discussion Papers
768, Cowles Foundation, Yale University.
[Downloadable!]
Other versions: Peter C.B. Phillips, 1985.
"Time Series Regression with a Unit Root ,"
Cowles Foundation Discussion Papers
740R, Cowles Foundation, Yale University, revised Feb 1986.
[Downloadable!]
Other versions:
Access and
download statistics Did you know? All RePEc services are meant to be be free forever, as they are all run by volunteers.
This page was last updated on 2009-11-26.
This information is provided to you by IDEAS at the Department of Economics , College of Liberal Arts and Sciences , University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics .