ARDL bound test
Posted: Mon May 11, 2015 5:43 am
Dear Eviews team,
Implementation ARDL long run analysis and PSS bound test in Eviews 9 seems to be very useful. Unfortunately, this procedure in Eviews is incomplete and in several cases may be misleading. In Pesaran, Shin, and Smith (2001), five different cases are considered with appropriate critical values:
1. No constant, no trend
2. Restricted constant, no trend
3. Unrestricted constant, no trend
4. Unrestricted constant, restricted trend
5. Unrestricted constant, unrestricted trend
Eviews 9 allows only cases 1, 3, and 5. However, if the restrictions in cases 2 and 4 are ignored, a constant term in the first-difference equation can generate a linear trend in the levels equation, and an unrestricted trend in the first-difference equation can generate a quadratic trend in the levels-equation. I think it will be not difficult to add cases 2 and 4 to current version of Eviews. It makes this procedure more useful for applied researchers. Moreover, this has been already realized in Stata ado package (http://www.kripfganz.de/stata).
All these procedures can be easily done manually, but without such an addition ARDL bound test in Eviews is not complete. Additionally, it should be useful to add an option that permits exclusion of right-hand variables with zero lags if necessary.
Implementation ARDL long run analysis and PSS bound test in Eviews 9 seems to be very useful. Unfortunately, this procedure in Eviews is incomplete and in several cases may be misleading. In Pesaran, Shin, and Smith (2001), five different cases are considered with appropriate critical values:
1. No constant, no trend
2. Restricted constant, no trend
3. Unrestricted constant, no trend
4. Unrestricted constant, restricted trend
5. Unrestricted constant, unrestricted trend
Eviews 9 allows only cases 1, 3, and 5. However, if the restrictions in cases 2 and 4 are ignored, a constant term in the first-difference equation can generate a linear trend in the levels equation, and an unrestricted trend in the first-difference equation can generate a quadratic trend in the levels-equation. I think it will be not difficult to add cases 2 and 4 to current version of Eviews. It makes this procedure more useful for applied researchers. Moreover, this has been already realized in Stata ado package (http://www.kripfganz.de/stata).
All these procedures can be easily done manually, but without such an addition ARDL bound test in Eviews is not complete. Additionally, it should be useful to add an option that permits exclusion of right-hand variables with zero lags if necessary.