I have read this paper - "Williams, R., Allison, P. D., & Moral-Benito, E. (2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. The Stata Journal, 18(2), 293-326. doi:10.1177/1536867x1801800201". But I didn't figure out how to test this interactional effects. Does anyone know how to test interactions with the -xtdpdml- command? Or maybe also share with me paper(s) about how to test interactional effects in cross lagged models?
The illustrating panel data:
Code:
clear all ID time gender motivation performance 1 1 0 2 1 1 2 0 3 2 1 3 0 2 1 1 4 0 3 2 1 5 0 1 1 2 1 1 5 4 2 2 1 4 4 2 3 1 5 4 2 4 1 5 5 2 5 1 4 4 3 1 0 3 2 3 2 0 3 3 3 3 0 3 3 3 4 0 3 2 3 5 0 3 3 4 1 1 1 1 4 2 1 2 1 4 3 1 1 1 4 4 1 1 1 4 5 1 2 2 5 1 0 4 5 5 2 0 4 5 5 3 0 4 5 5 4 0 4 4 5 5 0 3 4 6 1 1 5 4 6 2 1 5 4 6 3 1 3 3 6 4 1 4 4 6 5 1 5 5
0 Response to How to test the interactional effects with the -xtdpdml- command
Post a Comment