Causal inference
5 important questions on Causal inference
What is causal inference and how do we show it?
- By drawing lines between causes and effects
How do show the causal effect?
Y = outcome
a = treatment
1 = yes (received treatment / experienced improvement)
0 = no
i = individuall
What is a counterfactual outcome?
- Higher grades + faster learning
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Under which three conditions can average causal effects be determined?
- Positivity
- Consistency
- Exchangeability
What is positivity & positive probability?
Positive probability is that there are people in each group.
- There needs to be a positive probability of everyone receiving the treatment.
The question on the page originate from the summary of the following study material:
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