I would like to calculate average marginal effects after running a linear regression with multiple imputed values.
I'm accessing my data by using a remote access. This just allows me to include do-files and ado-files. I found the mimrgns ado-file but realized when including the ado-file that there are 3 files to include (1) mimrgns.ado, (2) mimrgns_estimate.ado and (3) mimrgns_work.class
As I can't use the file format '.class' when using the remote access I wonder if I can skip the inclusion of 'mimrgns_work.class' and just include the mimrgns.ado and mimrgns_estimate.ado in my do-file program.
The command seems to work also without mimrgns_work.class. What does mimrgns_work.class do? When do I need 'mimrgns_work.class'?
My relevant commands are
adopath ++${prog}
which mimrgns.ado
which mimrgns_estimate.ado
*which mimrgns_work.class <-- I cannot include this when using the remote access
mi estimate, saving(miestfile, replace) esample(esample): xtreg logwage i.man##c.unemployment i.education , fe robust
mimrgns using miestfile, esample(esample) dydx(unemployment) at(unemployment=(0(90)720) man=(0 1))
I'm accessing my data by using a remote access. This just allows me to include do-files and ado-files. I found the mimrgns ado-file but realized when including the ado-file that there are 3 files to include (1) mimrgns.ado, (2) mimrgns_estimate.ado and (3) mimrgns_work.class
As I can't use the file format '.class' when using the remote access I wonder if I can skip the inclusion of 'mimrgns_work.class' and just include the mimrgns.ado and mimrgns_estimate.ado in my do-file program.
The command seems to work also without mimrgns_work.class. What does mimrgns_work.class do? When do I need 'mimrgns_work.class'?
My relevant commands are
adopath ++${prog}
which mimrgns.ado
which mimrgns_estimate.ado
*which mimrgns_work.class <-- I cannot include this when using the remote access
mi estimate, saving(miestfile, replace) esample(esample): xtreg logwage i.man##c.unemployment i.education , fe robust
mimrgns using miestfile, esample(esample) dydx(unemployment) at(unemployment=(0(90)720) man=(0 1))
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