bate (version 0.1.0)

collect_par: Collect parameters from the short, intermediate and auxiliary regressions

Description

Collect parameters from the short, intermediate and auxiliary regressions

Usage

collect_par(data, outcome, treatment, control, other_regressors = NULL)

Arguments

data

A data frame.

outcome

The name of the outcome variable (must be present in the data frame).

treatment

The name of the treatment variable (must be present in the data frame).

control

Control variables to be added to the intermediate regression.

other_regressors

Subset of control variables to be added in the short regression (default is NULL).

Value

A data frame with the following columns:

beta0

Treatment effect in the short regression

R0

R-squared in the short regression

betatilde

Treatment effect in the intermediate regression

Rtilde

R-squared in the intermediate regression

sigmay

Standard deviation of outcome variable

sigmax

Standard deviation of treatment variable

taux

Standard deviation of residual in auxiliary regression

Examples

# NOT RUN {
## Load data set
data("NLSY_IQ")
 
## Set age and race as factor variables
NLSY_IQ$age <- factor(NLSY_IQ$age)
NLSY_IQ$race <- factor(NLSY_IQ$race)
   
## Collect parameters from the short, intermediate and auxiliary regressions
parameters <- collect_par(
data = NLSY_IQ, outcome = "iq_std", 
treatment = "BF_months", 
control = c("age","sex","income","motherAge","motherEDU","mom_married","race"),
other_regressors = c("sex","age"))

## See results
(parameters)

# }