Currently, I'm estimating some multilevel linear probability models and I try to obtain (pseudo) R2 measures using the Snijders/Bosker R2 obtained by -mltrsq- from the ssc -mlt-. However, the R2 at both level 1 and 2 drops if I include additional variables, which is apparently often due to misspecification (according to Snijders and Bosker, 1994 themselves). I use multilevel modelling as I'm trying to do a 2-1-1 mediation, following the methodology of Baron and Kenny. I use data from 2015 and 2016, totaling approximately 300.000 observations (level 1), over 66 unique countries (level 2). In total there are 105 country-years, ranging from 2000 to 40000 observations per country/year. My dependent variables are both dummies. I have four continuous variables of interest at level 2, four controls at level 2 and eight controls at level 1. My main model is in the form of this:
Code:
xtmixed SUByy deasystar g_procedures g_time g_log_capital g_log_cost gender i.educ c.c_age##c.c_age i.GEMHHINC knowent suskill i.opport fearfail g_log_gdpc g_growth g_unemployment g_polstab i.year || country: deasystar, cov(uns)
I hope someone can help me out on what this might be and/or where to look next. Thanks in advance!
Regards,
Arnoud
Note: This is my first post on Statalist, I consulted the guide to correctly format my question. If not: please let me know as well!
Reference:
Snijders, T. A., & Bosker, R. J. (1994). Modeled variance in two-level models. Sociological methods & research, 22(3), 342-363.
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