POL 51 Lecture Notes - Lecture 2: Causal Inference, Lead Generation, Spurious Relationship
12 Apr 2017
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Optional final assessment paper proposal due on april 19. Reading guide is uploaded on canvas for miyake and fowler. Example: going to college causes your income to increase by 10000. Person a goes to college (x) and earns 57,000 (y) after graduating. Person b doesn"t go to college and earns 35000. Want to understand the causal impact of a change in x (college, no college) on y (income) How can we approximate the counterfactual condition to isolate the causal effect on x on y?". Iv: wealth (gdp per capita-income per individual) => causal theory =>dv: country"s acceptance rate of immigrants. If x changes, y needs to change as well in order to have covariation. If x changes and y does not change, there will be no covariation. Is there confounding variable, z, related to both x and y. Z is a confounding variable that may cause a spurious relationship between x and y.
