The Role of "Leads" in the Dynamic OLS Estimation of Cointegrating Regression Models
AbstractIn this paper, we consider the role of "leads" of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. We demonstrate that the role of leads is related to the concept of Granger causality and that in some cases leads are unnecessary in the dynamic OLS estimation of cointegrating regression models. Based on a Monte Carlo simulation, we find that the dynamic OLS estimator without leads substantially outperforms that with leads and lags; we therefore recommend testing for Granger noncausality before estimating models.
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Bibliographic InfoPaper provided by Institute of Economic Research, Hitotsubashi University in its series Hi-Stat Discussion Paper Series with number d06-194.
Date of creation: Dec 2006
Date of revision:
Cointegration; dynamic ordinary least squares estimator; Granger causality;
Other versions of this item:
- Hayakawa, Kazuhiko & Kurozumi, Eiji, 2008. "The role of “leads” in the dynamic OLS estimation of cointegrating regression models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 555-560.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-12-16 (All new papers)
- NEP-ECM-2006-12-16 (Econometrics)
- NEP-ETS-2006-12-16 (Econometric Time Series)
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- Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(01), pages 1-21, March.
- Stock, James H & Watson, Mark W, 1993.
"A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems,"
Econometric Society, vol. 61(4), pages 783-820, July.
- James H. Stock & Mark W. Watson, 1991. "A simple estimator of cointegrating vectors in higher order integrated systems," Working Paper Series, Macroeconomic Issues 91-3, Federal Reserve Bank of Chicago.
- Tom Doan, . "SWDOLS: RATS procedure to estimate cointegrating vectors using dynamic OLS," Statistical Software Components RTS00207, Boston College Department of Economics.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Peter C.B. Phillips & Mico Loretan, 1989.
"Estimating Long Run Economic Equilibria,"
Cowles Foundation Discussion Papers
928, Cowles Foundation for Research in Economics, Yale University.
- Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-52, September.
- Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-43, January.
- Phillips, Peter C B & Hansen, Bruce E, 1990.
"Statistical Inference in Instrumental Variables Regression with I(1) Processes,"
Review of Economic Studies,
Wiley Blackwell, vol. 57(1), pages 99-125, January.
- Tom Doan, . "FM: RATS procedure to estimate cointegrating vectors using Fully Modified Least Squares," Statistical Software Components RTS00069, Boston College Department of Economics.
- Marcus Scheiblecker, 2012.
"Between Cointegration and Multicointegration. Modelling Time Series Dynamics by Cumulative Error Correction Models,"
WIFO Working Papers
- Scheiblecker, Marcus, 2013. "Between cointegration and multicointegration: Modelling time series dynamics by cumulative error correction models," Economic Modelling, Elsevier, vol. 31(C), pages 511-517.
- Hadri, Kaddour & Kurozumi, Eiji & Rao, Yao, 2013. "Novel Panel Cointegration Tests Emending for Cross-Section Dependence with N Fixed," Discussion Papers 2013-12, Graduate School of Economics, Hitotsubashi University.
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