collect_par function

Collect parameters from the short, intermediate and auxiliary regressions

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).

Returns

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

## 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)