| Characteristic | Beta | 95% CI1 |
|---|---|---|
| treatment | ||
| Treated | — | — |
| Control | -1.6 | -2.6, -0.53 |
| 1 CI = Credible Interval | ||
Causal Effect
Adding missing grouping variables: `.row`
The posterior, or the coefficient of Control is centered around −1.5 with a 95% Confidence Interval between −2.5 and −0.5.
The question is: What is the average treatment effect, of exposing people to Spanish-speakers, on their attitudes toward immigration? I have loaded the data, considered validity, stability, representativeness, and unconfoundedness. One problem is that politics might have changed throughout this time. I then made bayesian regression model of the end attitude to the treatment. I used add epred draws and subtracted the control from the treatment to get the causal effect. I then plotted a histogram of the causal effect