Fully modified estimation of cointegrating vectors via var prewhitening: A simulation study |
| |
Authors: | Nunzio Cappuccio Diego Lubian |
| |
Institution: | (1) Department of Economics, University of Padova, via del Santo 22, 35123 Padova, Italy |
| |
Abstract: | Summary In this paper we investigate, by simulation methods, the finite samples properties of the Fully Modified Least Squares (FMLS)
estimator of cointegrating vectors when the long run covariance matrix is estimated via VAR prewhitening. We compare this
estimator to the FMLS estimator based on an automatic or a fixed bandwidth kernel estimator of the long run covariance matrix.
By and large, FMLS estimator based on VAR prewhitening perform better than FMLS based on fixed bandwidth or automatic bandwidth,
with the latter behaving almost in the same way in finite samples. More importantly, the empirical distribution of a Wald
test statistic built from VAR prewhitened FMLS is closer to the asymptoticχ
2 distribution than those obtained from alternative kernel estimators. Thus, our findings strongly favor the use of VAR prewhitening
in the FM correction of the OLS estimator.
We would like to thank P. C. B. Phillips for his suggestions, two anonymous referees for detailed comments, and the participants
of the IGIER (Milan), the University of Padova and the CIDE (Bologna) seminars for comments. This paper has been presented
at the Econometric Society European Meeting 1984 held at Maastricht, Netherlands. We acknowledge financial support from MURST-Funds
40%. The usual disclaimers apply. |
| |
Keywords: | Cointegration Fully Modified Estimation Consistent Covariance Matrix Estimation Prewhitening Monte Carlo |
本文献已被 SpringerLink 等数据库收录! |
|