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Below is the typical output of a PDL equation.
Is there a command to store the sum of lags and its standard errors?

Thnak you very much. Roberto

Dependent Variable: DXX
Method: Least Squares
Date: 02/16/11 Time: 22:35
Sample (adjusted): 1985Q1 2010Q4
Included observations: 104 after adjustments
Newey-West HAC Standard Errors & Covariance (lag truncation=4)

Variable Coefficient Std. Error t-Statistic Prob.

C 0.767509 0.166929 4.597833 0.0000
PDL01 0.224442 0.046465 4.830367 0.0000
PDL02 -0.064022 0.043347 -1.476945 0.1430
PDL03 -0.027902 0.062641 -0.445433 0.6570
PDL04 -0.016538 0.043524 -0.379978 0.7048
PDL05 -0.039767 0.045472 -0.874540 0.3840
PDL06 0.030217 0.085821 0.352092 0.7255
PDL07 0.016712 0.014000 1.193736 0.2356
PDL08 -0.003799 0.020167 -0.188356 0.8510

R-squared 0.813380 Mean dependent var 2.657135
Adjusted R-squared 0.797664 S.D. dependent var 0.996112
S.E. of regression 0.448069 Akaike info criterion 1.314823
Sum squared resid 19.07273 Schwarz criterion 1.543664
Log likelihood -59.37078 F-statistic 51.75684
Durbin-Watson stat 0.318701 Prob(F-statistic) 0.000000

Lag Distribution of DX(-12) i Coefficient Std. Error t-Statistic

. *| 0 0.26056 0.05331 4.88743
. * | 1 0.22444 0.04646 4.83037
. * | 2 0.13252 0.05367 2.46916

Sum of Lags 0.61752 0.06725 9.18187

Lag Distribution of EX_LIQN40US(-12) i Coefficient Std. Error t-Statistic

*. | 0 -0.01061 0.05342 -0.19861
. * | 1 0.03294 0.04996 0.65920
* . | 2 -0.01654 0.04352 -0.37998
*. | 3 -0.01317 0.04253 -0.30978
. *| 4 0.09771 0.03539 2.76118

Sum of Lags 0.09033 0.02930 3.08256

The only thing you can do is freeze the stats view of the equation and then retrieve those numbers from the resultant table. Something like:
where 32,4 is the table cell containing the sum.

Unfortunately, it is not one equation. It is a loop of several equations and all of them have different locations.

Best regards,

Roberto

You'll have to figure out a way to calculate its position.

In the future, it would be great if views creates a command which allows to extract the sum of lags and its coefficients. Best regards, Roberto

You can get the pdl coefficients with eq.@coefs, it is the standard errors that aren't available