Hello,
I used a fractional probit regression and added an interaction term. The latter has a significant positive effect. When I try estimating the average marginal effects to be able to interpret the results of my model, I receive a message that the margins command dyex() does not allow levels of interaction.
How can I interpret the results of this statistically significant interaction effect?
Greetings,
Gunther
Related Posts with fractional probit regression with interaction term. Margins command dyes() does not work for the interaction term.
Line disappearsDear all, I'm doing a scatter plot (potassium levels in 2 distinct moments) with this code (which w…
What are the requirements to make causal inference when using correlated random effects (CRE)?Hello all, I am now self-learning how to use the correlated random effects model from the IZA confe…
Excel's XIRR function in StataHi Forum I am attempting to perform financial investment performance analysis. For small test samp…
Fixed effects stability test or Joint F test for fixed effectsHello every one, I have the wage gap between immigrants and natives Born by census metropolitan are…
Counting the number of groups in a permutation testI am trying to do a permutation test with yearly panel data. The treatment variable, "treat", has 7 …
Subscribe to:
Post Comments (Atom)
0 Response to fractional probit regression with interaction term. Margins command dyes() does not work for the interaction term.
Post a Comment