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! ]

Estimation of Polynomial Distributed Lags and Leads with End Point Constraints

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Donald W.K. Andrews
Ray C. Fair

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

Abstract

This paper considers the use of the polynomial distributed lag (PDL) technique when the lag length is estimated rather than fixed. We focus on the case where the degree of the polynomial is fixed, the polynomial is constrained to be zero at a certain lag length q, and q is estimated along with the other parameters. We extend the traditional PDL setup by allowing q to be real-valued rather than integer-valued, and we derive the asymptotic covariance matrix of all the parameter estimates, including the estimate of q. The paper also considers the estimation of distributed leads rather than lags, a case that can arise if expectations are assumed to be rational.

Download Info
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.

File URL: http://www.nber.org/papers/t0079.pdf
File Format: application/pdf
File Function:
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0079.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Oct 1989
Date of revision:
Handle: RePEc:nbr:nberte:0079

Note: EFG
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Email:
Web page: http://www.nber.org
More information through EDIRC

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

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. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100 Elsevier. [Downloadable!] (restricted)
  2. Cumby, Robert E. & Huizinga, John & Obstfeld, Maurice, 1983. "Two-step two-stage least squares estimation in models with rational expectations," Journal of Econometrics, Elsevier, vol. 21(3), pages 333-355, April. [Downloadable!] (restricted)
    Other versions:
  3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July. [Downloadable!] (restricted)
  4. Andrews, Donald W. K. & Fair, Ray C., 1987. "Inference in Econometric Models with Structural Change," Working Papers 636, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
    Other versions:
  5. Ray C. Fair, 1989. "Inflationary Expectations and Price Setting Behavior," Cowles Foundation Discussion Papers 923, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  6. Pagano, Marcello & Hartley, Michael J., 1981. "On fitting distributed lag models subject to polynomial restrictions," Journal of Econometrics, Elsevier, vol. 16(2), pages 171-198, June. [Downloadable!] (restricted)
  7. Schmidt, Peter, 1973. "On the Difference Between Conditional and Unconditional Asymptotic Distributions of Estimates in Distributed Lag Models with Integer-Valued Parameters," Econometrica, Econometric Society, vol. 41(1), pages 165-69, January. [Downloadable!] (restricted)
  8. Harper, Charles P, 1977. "Testing for the Existence of a Lagged Relationship within Almon's Method," The Review of Economics and Statistics, MIT Press, vol. 59(2), pages 204-10, May. [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. Ray C. Fair, 1989. "Inflationary Expectations and Price Setting Behavior," NBER Working Papers 3102, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Townsend, R.F. & van Zyl, J. & Thirtle, C., 1997. "Assessing the benefits of research expenditures on maize production in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 36(4), December. [Downloadable!]
Statistics
Access and download statistics

Did you know? The yearly budget of IDEAS is exactly $0: it relies entirely on volunteer work.

This page was last updated on 2009-12-18.


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.