Unhappiness at Unter: Identifying Heterogeneous Outcomes - CATEs
Since reducing the size of HR seems to reduce the rate of employee turnover, the CEO of Unter Technologies is now heavily considering this option.
However, his chief operating officer (COO) warns him that reducing the size of HR might be unpopular among certain minority groups within the company, particularly among women. The COO sends the CEO a figure (illustrated in the R workspace) showing the results of his experiment among men and women. Which of the following does the figure suggest?
This exercise is part of the course
Causal Inference with R - Experiments
Exercise instructions
While the pooled average treatment effect is slightly negative, and the average treatment effect for men is negative, the average treatment effect for women is positive.,While the pooled average treatment effect is slightly positive, and the average treatment effect for men is positive, the average treatment effect for women is negative.,While the pooled average treatment effect is slightly negative, and the average treatment effect for men is positive, the average treatment effect for women is negative.,While the pooled average treatment effect is slightly positive, and the average treatment effect for men is negative, the average treatment effect for women is positive.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
p<-ggplot(df, aes(x=`Control and Treatment Groups`,y=`Percent Intending to Quit`,group=Gender,color=Gender))
p+geom_point(size=3)+geom_line(size=2)+scale_y_continuous(label = percent,limits = c(0,1))