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  3. Causal Inference with R - Experiments

Exercise

Oregon Health Experiment Data: Reading Tables for Results

Now let's practice reading tables from the Oregon Health Experiment. As described in the previous video, the Oregon Health Experiment studies the effect of getting Medicaid coverage on respondent's health, so let's look at some mental health results in the data.

The dataframe "OregonHealthResults" indicates results from the Oregon Health Experiment (in percentages) pertaining to depression. To get a good sense of how this was affected in the experiment, let's review some of its results and calculate some of the numbers ourselves.

One of the most interesting results of any experiment is the Average Treatment Effect relative to the mean value of a parameter. Therefore, let's use this dataframe to look at two basic items: The average positive screen value in the control group, and the Average Treatment Effect of Medicaid on positive screen values. These calculations will give you a deeper sense of the impact of health insurance on basic mental health.

Instructions

100 XP
  • What is the mean value of positive screening in the control group?
  • What is the average treatment effect of medicaid coverage on positive screening?
  • Given the mean value of positive screening in the control group and the average treatment effect of medicaid coverage on positive screening, estimate the mean value of positive screening in the treatment group.