Unifying Estimation Results with Binary Dependent Variables
Description
Calculate unified measures
that quantify the effect of a covariate on a binary dependent variable
(e.g., for meta-analyses).
This can be particularly important
if the estimation results are obtained
with different models/estimators
(e.g., linear probability model, logit, probit, ...)
and/or with different transformations of the explanatory variable of interest
(e.g., linear, quadratic, interval-coded, ...).
The calculated unified measures are:
(a) semi-elasticities of linear, quadratic, or interval-coded covariates and
(b) effects of linear, quadratic, interval-coded, or categorical covariates
when a linear or quadratic covariate changes between distinct intervals,
the reference category of a categorical variable
or the reference interval of an interval-coded variable needs to be changed,
or some categories of a categorical covariate
or some intervals of an interval-coded covariate need to be grouped together.
Approximate standard errors of the unified measures are also calculated.
All methods that are implemented in this package
are described in the 'vignette'
"Extracting and Unifying Semi-Elasticities and Effect Sizes
from Studies with Binary Dependent Variables"
that is included in this package.