an instrumental variable does: isolates causal effect when you can't randomize

Why can't we always trust what we see?

Image: Jeroen Kransen, CC BY-SA 2.0, via Wikimedia Commons

an instrumental variable does: isolates causal effect when you can't randomize

Why can't we always trust what we see?

Imagine you're trying to figure out if eating chocolate makes you happier, but you can't just give some people chocolate and not others. Some people might already prefer chocolate, which could affect their happiness.

We can't just compare happy chocolate lovers with non-lovers because their happiness might be linked to other things they do. An instrumental variable helps us figure out if chocolate really causes happiness by using something related to chocolate but not directly linked to happiness.

Example

If we find that people who live closer to chocolate factories (but don't eat chocolate) are happier, we might use the distance to the factory as an instrumental variable to see if chocolate really makes a difference.

Remember this

An instrumental variable helps us find the true effect of chocolate on happiness by using something related but not directly connected to happiness.

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