Dear Statalisters:
There are a million threads on Statalist already for similar topics (e.g., https://www.statalist.org/forums/for...ter-xtlogit-fe), so many that I experienced decision paralysis about which one to bump and decided to start a new one.
The issues that have been raised in the past is that because xtlogit, fe doesn't estimate the fixed effects it's impossible to know what the actual marginal effect would be. Have there been any advances in figuring out how to calculate population-level predicted probabilities over a given categorical variable (e.g., by race/ethnicity, gender, etc) or over a continuous variable (e.g., year, age, height, etc)? I want to dig into this a little bit more but if someone has figured it out--or come up with new reasons why it doesn't work with the conditional logit estimator--I'd like to know.
Thank you for your time.
Related Posts with predicted probabilities using xtlogit, fe: The state of the art?
Granger causality with panel varDear all, I'm doing with panel var model. I tried with pvargranger and want to try another code. Ca…
Fixed effect model and Endogeneity problemsHello! This is my first post on Statalist, and I am very grateful for any comments and suggestions. …
Standard deviation of SCAR seems to be wrong (event study)Dear Stata community, I am currently conducting an event study and I want to use SCARs for my univa…
Coefplot for marginal effectsHi all, I'm trying to create a plot, similar to Stata's `coefplot`, but for marginal effects. I hav…
Stata- Converting DatesHello, I'm still new to stata and I want to convert my data from YearMn to which number of month is…
Subscribe to:
Post Comments (Atom)
0 Response to predicted probabilities using xtlogit, fe: The state of the art?
Post a Comment