I'm modeling something that exclusively uses dummy variables, both the dependent and independent variables.
I'm using logit. Doesn't seem as though there is any obvious preference for logit or probit as far as I can tell, though if someone thinks otherwise I'd love to hear it.
However, I'm wondering what makes most sense in terms of predictive margins. dydx(*) default? dydx at means? Something else?
For what it's worth, the coefficients don't change much based upon my selection. But i still want my decision to be defensible in theory.
Related Posts with Logistic regression when all variables are dummies
How do i create a linegraph by summarizing monthly data into yearly means with min/max resultsSorry im still very new too stata and need some help on a research paper proposal. I've been given …
Dynamic ordered probit modelHi everyone, Currently, I am working on the estimation of health depreciation rate following Yogo (…
Choosing the 7-day-value per countryHi everyone, I'm working with a dataset that shows me the number of infected people with Covid-19 p…
Generating count variable for observations per yearI have the following (simplified) dataset Person_ID Fiscal_Year 101 2015 101 2015 101 2016…
CollapseI hope all is well with you. I have a question about "collapse". I want to create tables with the '…
Subscribe to:
Post Comments (Atom)
0 Response to Logistic regression when all variables are dummies
Post a Comment