# Tag Info

Causal inference tries to quantify the effect of a change in $X$ on $Y$ while holding constant or eliminating all other relevant factors which might influence this relationship. Such an effect is often referred to as a causal (or treatment) effect. It can be used to answer "what if"-type questions like: what happens to crime if we increase the police force by 10%? How will a person's future earnings change if she goes to school one year longer?