I want to calculate the marginal effects of my control variables after regressing my dependent variable Y, which is bounded between 0 and 1. The following is my regression:
- glm Y a b c d e f i.country, fa(b) link(logit) vce(robust) -, where a and b are dummy variables and c and d are interaction terms between the dummy variables and the variable e.
I am not sure if I should use:
- margins a b c d e f, - or - margins a b c d e f, dydx -
Can somebody please help me with this query?
Related Posts with Marginal Effects after running -glm- estimator
Can multiple cross sectional data be treated as panel data?I have GSS data from multiple waves ie years for the same regions in the US. When I look at the dat…
Locpoly issueWe are working on a panel primary survey socioeconomic data. We are trying to compare semiparametric…
STATA Not giving resultsFriends, I have this on table; I fitted a random slope model. But i am very surprised that STATA pr…
conditional encodeIt seems that I am blindfolded: Although I tried and looked for about half an hour, I can't see my c…
Treatment group is omitted because of collinearity I am using a difference-in-difference strategy with fixed effects -xtreg...,fe robust-. I am using …
Subscribe to:
Post Comments (Atom)
0 Response to Marginal Effects after running -glm- estimator
Post a Comment