Abstract
The Box-Tiao (1977) and Johansen (1988) approaches to estimating cointegrating vectors are compared and small-sample properties of the estimators are evaluated in Monte Carlo experiments for bivariate first-order models. In models without drift, the distributions of the Box-Tiao estimator are found to be less dispersed and leptokurtic in a variety of interesting cases. The presence of drift induces asymptotic normality in both estimators and again the distributions of the Box-Tiao estimator are often less dispersed in small samples.
Original language | English |
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Pages (from-to) | 3-27 |
Number of pages | 25 |
Journal | Journal of Econometrics |
Volume | 64 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - 1994 |
Externally published | Yes |
Keywords
- Canonical analysis
- Cointegration
- Error-correction models
- Monte Carlo
- Multiple time series