bandwidth and the number of lags
Posted: Fri Nov 08, 2019 3:41 am
I would like to know how I can infer the number of lags used for the bandwidth associated to the (long-run) variance estimator.
In running a system with GMM, I get the following output:
Included observations: 247
Total system (balanced) observations 3458
Kernel: Bartlett, Bandwidth: Variable Newey-West (2), No prewhitening
Simultaneous weighting matrix & coefficient iteration
Convergence achieved after: 1 weight matrix, 2 total coef iterations
Can you tell me if I can infer the number of lags from the Bandwidth (Variable Newey-West (2)).
Is it 2 the number of lags?
For your additional information, if I use the NW fixed option with 247 observations, I get the following, where the Bandwidth is 5.
Using the formula available here is rather complex to extract the number of lags: http://www.eviews.com/help/helpintro.ht ... 23ww155429
Included observations: 247
Total system (balanced) observations 3458
Kernel: Bartlett, Bandwidth: Fixed (5), No prewhitening
Simultaneous weighting matrix & coefficient iteration
Convergence achieved after: 1 weight matrix, 2 total coef iterations
In running a system with GMM, I get the following output:
Included observations: 247
Total system (balanced) observations 3458
Kernel: Bartlett, Bandwidth: Variable Newey-West (2), No prewhitening
Simultaneous weighting matrix & coefficient iteration
Convergence achieved after: 1 weight matrix, 2 total coef iterations
Can you tell me if I can infer the number of lags from the Bandwidth (Variable Newey-West (2)).
Is it 2 the number of lags?
For your additional information, if I use the NW fixed option with 247 observations, I get the following, where the Bandwidth is 5.
Using the formula available here is rather complex to extract the number of lags: http://www.eviews.com/help/helpintro.ht ... 23ww155429
Included observations: 247
Total system (balanced) observations 3458
Kernel: Bartlett, Bandwidth: Fixed (5), No prewhitening
Simultaneous weighting matrix & coefficient iteration
Convergence achieved after: 1 weight matrix, 2 total coef iterations