| Mize19AH {catregs} | R Documentation |
Add-Health Data analzed in Mize (2019)
Description
Mize (2019) illustrates how to establish moderation in the context of regression models for limited dependent variables. He illustrates using AddHealth data and provides Stata code to replicate the results. Catregs functions can replicate these results in R.
Usage
data("Mize19AH")Format
A data frame with 4307 observations on the following 29 variables.
AIDa numeric vector
racea numeric vector
agea numeric vector
educa numeric vector
degreea numeric vector
collegea numeric vector
healtha numeric vector
rolea numeric vector
workrolea numeric vector
parrolea numeric vector
incomea numeric vector
wagesa numeric vector
logwagesa numeric vector
depBa numeric vector
alcBa numeric vector
womana numeric vector
edyrsa numeric vector
whiteBa numeric vector
X_est_prnoa numeric vector
X_est_prpara numeric vector
X_est_alcedmoda numeric vector
X_est_alcmoda numeric vector
race2a numeric vector
race3a numeric vector
race4a numeric vector
ed1a numeric vector
ed2a numeric vector
ed3a numeric vector
ed4a numeric vector
Source
Mize, Trenton D. 2019. "Best Practices for Estimating, Interpreting, and Presenting Nonlinear Interaction Effects" Sociological Science 6: 81-117.
Examples
data(Mize19AH)
head(Mize19AH)