Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

PS2 exercise 2 #25

Open
jgdenby opened this issue Apr 29, 2018 · 1 comment
Open

PS2 exercise 2 #25

jgdenby opened this issue Apr 29, 2018 · 1 comment

Comments

@jgdenby
Copy link

jgdenby commented Apr 29, 2018

would you like us to return the standard errors for the quasi-coefficients in addition to those for the beta parameters? Or is a plot sufficient? If so, what's the best way to compute and report those? I see in your example code how you compute standard errors for one dichotomous and one continuous variable, but i'm not 100% sure how to translate that to two continuous variables. Thanks!

@bensoltoff
Copy link
Contributor

Look at the first two marginal effects plots for interaction terms with continuous variables. This is a good template for how to report the standard errors. There's not much use in a table since there would be 20 sets of standard errors (one for each value of education in the data set). The marginal effects plot for the Titanic logistic regression example also shows an appropriate graphical form for a continuous variable interacted with another continuous variable.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants