Dear All,

I want to use lincom to estimate total effect after running a regression of the form:

Code:
. reghdfe scriptnumber i.post##treated2##(agedum1 agedum2 agedum3 agedum4 agedum5), absor
> b(i.wk2 i.prescriberid) vce(cluster prescriberid)
(converged in 3 iterations)
note: 1.post omitted because of collinearity
note: 1.treated2 omitted because of collinearity

HDFE Linear regression                            Number of obs   = 29,343,300
Absorbing 2 HDFE groups                           F(  21,  73320) =     333.08
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.3944
                                                  Adj R-squared   =     0.3929
                                                  Within R-sq.    =     0.0522
Number of clusters (prescriberid) =     73,321    Root MSE        =     4.3413

                               (Std. Err. adjusted for 73,321 clusters in prescriberid)
---------------------------------------------------------------------------------------
                      |               Robust
         scriptnumber |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
               1.post |          0  (empty)
           1.treated2 |          0  (empty)
                      |
        post#treated2 |
                 1 1  |  -.2841009   .0354557    -8.01   0.000    -.3535939   -.2146078
                      |
            1.agedum1 |  -3.081656   .0585112   -52.67   0.000    -3.196338   -2.966974
            1.agedum2 |  -2.524654   .0460961   -54.77   0.000    -2.615003   -2.434306
            1.agedum3 |  -2.302338    .040131   -57.37   0.000    -2.380995   -2.223682
            1.agedum4 |  -2.011272   .0342483   -58.73   0.000    -2.078399   -1.944146
            1.agedum5 |  -2.152859   .0391209   -55.03   0.000    -2.229536   -2.076183
                      |
         post#agedum1 |
                 1 1  |   .0238845    .017022     1.40   0.161    -.0094785    .0572474
                      |
         post#agedum2 |
                 1 1  |   .0075982   .0134217     0.57   0.571    -.0187083    .0339047
                      |
         post#agedum3 |
                 1 1  |   .0227166    .011867     1.91   0.056    -.0005428    .0459759
                      |
         post#agedum4 |
                 1 1  |   .0236837   .0109215     2.17   0.030     .0022777    .0450898
                      |
         post#agedum5 |
                 1 1  |   .0698713   .0130745     5.34   0.000     .0442454    .0954973
                      |
     treated2#agedum1 |
                 1 1  |   -.396839   .1059009    -3.75   0.000    -.6044043   -.1892737
                      |
     treated2#agedum2 |
                 1 1  |   -.309352   .0846507    -3.65   0.000    -.4752671   -.1434369
                      |
     treated2#agedum3 |
                 1 1  |  -.1992315   .0706572    -2.82   0.005    -.3377193   -.0607438
                      |
     treated2#agedum4 |
                 1 1  |  -.1407674   .0579312    -2.43   0.015    -.2543122   -.0272225
                      |
     treated2#agedum5 |
                 1 1  |  -.1115767   .0639635    -1.74   0.081    -.2369451    .0137916
                      |
post#treated2#agedum1 |
               1 1 1  |   .2544823   .0340203     7.48   0.000     .1878026     .321162
                      |
post#treated2#agedum2 |
               1 1 1  |   .1834304   .0281337     6.52   0.000     .1282884    .2385724
                      |
post#treated2#agedum3 |
               1 1 1  |   .1683772   .0233473     7.21   0.000     .1226166    .2141379
                      |
post#treated2#agedum4 |
               1 1 1  |   .1832277   .0204976     8.94   0.000     .1430525    .2234028
                      |
post#treated2#agedum5 |
               1 1 1  |   .2174294   .0244478     8.89   0.000     .1695119    .2653469
---------------------------------------------------------------------------------------

Absorbed degrees of freedom:
------------------------------------------------------------------------+
          Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     |
----------------------+-------------------------------------------------|
                  wk2 |          100             100              0     |
         prescriberid |            0           73321          73321 *   |
------------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

.
end of do-file

.  lincom post#treated2+post#treated2#agedum1
post#treated2 invalid name
r(198);
How do I refer to the variables
post#treated2 and post#treated2#agedum1 for lincom? Thank you for your help.

Sincerely,
Sumedha.