Do we need time series econometrics?
AbstractIt is argued that whether or not there is a need for unit roots and cointegration based econometric methods is a methodological issue. An alternative is the econometrics of the London School of Economics (LSE) and Hendry approach based on the simpler classical methods of estimation. This is known as the general to specific method (GETS). Like all other methodological issues this is also difficult to resolve but we think that GETS is very useful.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 6627.
Date of creation: 09 Jan 2008
Date of revision:
GETS; Cointegration; Box-Jenkin’s Equations; Hendry; Granger;
Other versions of this item:
- C0 - Mathematical and Quantitative Methods - - General
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-01-12 (All new papers)
- NEP-ECM-2008-01-12 (Econometrics)
- NEP-ETS-2008-01-12 (Econometric Time Series)
- NEP-HPE-2008-01-12 (History & Philosophy of Economics)
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.:
- Neil R. Ericsson & James G. MacKinnon, 2000.
"Distributions of Error Correction Tests for Cointegration,"
Econometric Society World Congress 2000 Contributed Papers
0561, Econometric Society.
- Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, 06.
- Neil R. Ericsson & James G. MacKinnon, 1999. "Distributions of error correction tests for cointegration," International Finance Discussion Papers 655, Board of Governors of the Federal Reserve System (U.S.).
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