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! ]

What Do We Learn from Unit Roots in Macroeconomic Time Series?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Danny Quah

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Massachusetts Institute of Technology (MIT), Department of Economics in its series Working papers with number 469.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Oct 1987
Date of revision:
Handle: RePEc:mit:worpap:469

Contact details of provider:
Postal: MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), DEPARTMENT OF ECONOMICS, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA
Phone: (617) 253-3361
Fax: (617) 253-1330
Web page: http://econ-www.mit.edu/
More information through EDIRC

Order Information:
Postal: MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT), DEPARTMENT OF ECONOMICS, 50 MEMORIAL DRIVE CAMBRIDGE MASSACHUSETTS 02142 USA
Email:

For technical questions regarding this item, or to correct its listing, contact: (Linda Woodbury).

Related research
Keywords:

Other versions of this item:

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.:
  1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March. [Downloadable!] (restricted)
  2. Steven N. Durlauf & Peter C.B. Phillips, 1986. "Trends Versus Random Walks in Time Series Analysis," Cowles Foundation Discussion Papers 788, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  3. Francis X. Diebold & Glenn D. Rudebusch, 1987. "Does the business cycle have duration memory?," Special Studies Papers 223, Board of Governors of the Federal Reserve System (U.S.).
  4. J. Bradford De Long & Lawrence H. Summers, 1986. "Are Business Cycles Symmetric?," NBER Working Papers 1444, 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.)

  1. Joseph G. Haubrich & Andrew W. Lo, 1991. "The sources and nature of long-term memory in the business cycle," Working Paper 9116, Federal Reserve Bank of Cleveland. [Downloadable!]
    Other versions:
  2. F. Goerlich, 1991. "Persistencia en las fluctuaciones económicas: evidencia para el caso español," Investigaciones Economicas, Fundación SEPI, vol. 15(1), pages 193-202, January. [Downloadable!]
  3. Kenneth D. West, 1989. "On the Interpretation of Near Random-Walk Behavior in GNP," NBER Working Papers 2364, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
Statistics
Access and download statistics

Did you know? Over five million full texts a year are downloaded through IDEAS.

This page was last updated on 2008-7-16.


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.