CHAPTER 3 Causation: What Is It and What Is It Good For? Flashcards
(71 cards)
What is a causal effect?
A change in some feature of the world that results from a change to some other feature of the world.
Why is assessing causal relationships important?
It is crucial for policy and decision making.
Which question is conceptually clearer: ‘What effect did this have on the outcome?’ or ‘What caused the outcome?’?
‘What effect did this have on the outcome?’
What are causal relationships fundamentally about?
Comparisons of counterfactual worlds.
What is a counterfactual comparison?
A comparison between the actual world and an alternative world where a feature has changed.
What does the phrase ‘would result’ imply in the context of causation?
It refers to a counterfactual comparison between outcomes in the actual world and an alternative world.
What is the potential outcomes framework?
A mathematical framework for representing counterfactuals.
In potential outcomes notation, what does T = 1 signify?
The person received the treatment.
What does T = 0 signify in potential outcomes notation?
The person did not receive the treatment.
What is the fundamental problem of causal inference?
Causal effects can never be directly observed.
Why can we not observe the effect of going to college on income?
We only observe one actual outcome, either having gone to college or not.
How can scientists assess average effects in a study?
By comparing average outcomes in treated and untreated groups.
What is necessary to weigh the costs and benefits of a decision?
Knowledge of causal relationships.
Fill in the blank: Causality is about _______ comparisons.
counterfactual
True or False: We can observe both potential outcomes for each individual.
False
What must we believe about a proposal to enact new policies?
That it will cause better outcomes.
What is a treatment in the context of potential outcomes?
An intervention or variable being studied, such as Body Vibes.
What is the outcome referred to in potential outcomes?
The result of the treatment, such as skin health.
What does the comparison of potential outcomes help clarify?
Counterfactuals.
What is required to determine the effect of an intervention on outcomes?
Understanding how the intervention affects outcomes.
What can scientists not observe due to the fundamental problem of causal inference?
The causal effect for any individual.
What does the FDA need to know to make decisions about drug approval?
The average effect of the drug on health in the population.
What is the key causal question for the FDA’s decision regarding drug approval?
If we approve the new drug, how will health change in the population on average?
What is the fundamental problem of causal inference?
We can never know for sure what would happen in a counterfactual world.