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st: relative importance of covariates in an xtmixed or mle model
Can someone please advise:
How can we determine the proportion of variance explained per covariate in a model that is
based on maximum likelihood estimation?
The model in hand is generated with xtmixed, and I wish to determine how much of the model is explained by one of the
independent variables. The beta coefficient for the model with only that
variable is 0.02. The beta coefficient for this variable when the model others variables is about
0.01. Would the difference between these coefficients be indicative?
Any advice is much appreciated.
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