I am running a SEM model with multiple independent variables and a cluster variable (accounting for different surveys).
I want to obtain the bootstrapped standard errors and confidence intervals, but apparently the vce() option does not allow at the same time for bootstrapping and clustering.
Then, I follow these instructions for creating a program that bootsraps the data: https://stats.idre.ucla.edu/stata/fa...e-sem-command/ and I run the command for multiple IV. This is the code I use:
Code:
program indireff, rclass sem (med <- x1) (med <- x2) (med <- x3) (y <- x1 x2 x3 med cv1 cv2), nocapslatent vce(cluster clust_var) estat teffects mat bi = r(indirect) mat bd = r(direct) mat bt = r(total) return scalar indir = el(bi,1,3) return scalar direct = el(bd,1,3) return scalar total = el(bt,1,3) end sem (med <- x1) (med <- x2) (med <- x3) (y <- x1 x2 x3 med cv1 cv2 ), nocapslatent vce(cluster clust_var) quiet estat teffects matrix list r(indirect) matrix list r(direct) matrix list r(total) set seed 358395 bootstrap r(indir) r(direct) r(total), reps(10): indireff
I would very much appreciate your help.
Best regards,
Marc
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