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! ]

Estimating TFP in the Presence of Outliers and Leverage Points: An Examination of the KLEMS Dataset

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Macdonald, Ryan

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

Abstract

This paper examines the effect of aberrant observations in the Capital, Labour, Energy, Materials and Services (KLEMS) database and a method for dealing with them. The level of disaggregation, data construction and economic shocks all potentially lead to aberrant observations that can influence estimates and inference if care is not exercised. Commonly applied pre-tests, such as the augmented Dickey-Fuller and the Kwaitkowski, Phillips, Schmidt and Shin tests, need to be used with caution in this environment because they are sensitive to unusual data points. Moreover, widely known methods for generating statistical estimates, such as Ordinary Least Squares, may not work well when confronted with aberrant observations. To address this, a robust method for estimating statistical relationships is illustrated.

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.statcan.gc.ca/bsolc/olc-cel/olc-cel?catno=11F0027M2007047&lang=eng
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Statistics Canada, Analytical Studies Branch in its series Economic Analysis (EA) Research Paper Series with number 2007047e.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 05 Dec 2007
Date of revision:
Handle: RePEc:stc:stcp5e:2007047e

Contact details of provider:
Postal: Tunney's Pasture, Ottawa, Ontario, K1A 0T6
Web page: http://www.statcan.gc.ca
More information through EDIRC

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

Related research
Keywords: Statistical methods; Economic accounts; Time series; Data analysis; Productivity accounts;

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.:
  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. Kaddour Hadri, 1999. "Testing For Stationarity In Heterogeneous Panel Data," Research Papers 1999_04, University of Liverpool Management School.
    Other versions:
  3. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November. [Downloadable!] (restricted)
    Other versions:
  4. Galeano, Pedro & Pena, Daniel & Tsay, Ruey S., 2006. "Outlier Detection in Multivariate Time Series by Projection Pursuit," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 654-669, June. [Downloadable!] (restricted)
  5. Balke, Nathan S & Fomby, Thomas B, 1994. "Large Shocks, Small Shocks, and Economic Fluctuations: Outliers in Macroeconomic Time Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(2), pages 181-200, April-Jun. [Downloadable!] (restricted)
    Other versions:
  6. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "U.S. Economic Growth at the Industry Level," American Economic Review, American Economic Association, vol. 90(2), pages 161-167, May. [Downloadable!] (restricted)
  7. Sunil K. Sapra, 2003. "High-breakdown point estimation of some regression models," Applied Economics Letters, Taylor and Francis Journals, vol. 10(14), pages 875-878, November. [Downloadable!] (restricted)
  8. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I. [Downloadable!] (restricted)
  9. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178. [Downloadable!] (restricted)
    Other versions:
  10. Baldwin, John R. & Gu, Wulong, 2007. "Multifactor Productivity in Canada: An Evaluation of Alternative Methods of Estimating Capital Services," The Canadian Productivity Review 2007009e, Statistics Canada, Economic Analysis Division. [Downloadable!]
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. Macdonald, Ryan, 2008. "An Examination of Public Capital's Role in Production," Economic Analysis (EA) Research Paper Series 2008050e, Statistics Canada, Analytical Studies Branch. [Downloadable!]
Statistics
Access and download statistics

Did you know? Springer Verlag was the first commercial publisher to be listed on RePEc.

This page was last updated on 2010-1-4.


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.