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Now I am trying to get some graphical representation of the results as the tables are too large, and I have many other outcome variables. Here is the code for the model again.

*Fit a Four-level variance components logit model by PQL2
quietly runmlwin faith_b cons i.caste i.religion i.v190 urban ...

Thank you for your response!

Earlier, I tried to switch from pql2 to mql2 estimation, but the problem persisted. However, It is solved after removing some units at v001 at a level with no variation, which means a unit had all responses either 1 or 0. Because of this, it couldn't converge.

Hi,

I am trying to run a four-level model in Stata using "runmlwin' command. Here is the Stata syntax:

use "D:\refuseData.dta", replace
drop if refuse==. | caste==. | religion==. | v190==. | urban==. | age==. | schooling==. | working==. | media==. | parity==. | living_son==.
sort v024 v001 intrid ...

Hi,
I am trying to run a four-level model in Stata with following codes:

*Fit a Four-level variance components logit model by PQL2
quietly runmlwin faith_b cons i.caste i.religion i.v190 urban age i.schooling working media parity living_son, level4(v024: cons) level3(v001: cons) level2(intrid ...