SEM survey data, badness of fit, SRMR=0.000

[Andri Koch]

Dear Statalist,
I run the following command in Stata 14.2 with weighted survey data (n=3000):

sem (i15ptotn -> p15w228, ) (workload -> i15ptotn, ) (workload -> p15w228, ) (age15 -> i15ptotn, ) (age15 -> p15w228, ) (edyear15 -> i15ptotn, ) (edyear15 -> p15w228, ) (p15f50 -> i15ptotn, ) (p15f50 -> p15w228, ) (firmsizelog -> i15ptotn, ) (firmsizelog -> p15w228, ) (is4famoma -> i15ptotn, ) (is4famoma -> p15w228, ) (tr1maj15 -> i15ptotn, ) (tr1maj15 -> p15w228, ) [pweight = weight_new], nocapslatent

and afterwards:

estat gof, stats(all)

----------------------------------------------------------------------------
Fit statistic        |      Value   Description
---------------------+------------------------------------------------------
Size of residuals    |
                SRMR |      0.000   Standardized root mean squared residual
                  CD |      0.565   Coefficient of determination
----------------------------------------------------------------------------
Note: model was fit with vce(robust); only stats(residuals) valid.

I'm concerned about an SRMR of 0.000 which shows a perfect fit. But how should I deal with it? Is that a sign for a missspecification of the model?

Thanks for advices,
Andri