Prof. Dr. Merlin Schaeffer Department of Sociology University of Copenhagen
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Associations in the social world are not (necessarily) linear. Today you learn two ways to do so: polynomial regression and transformations of variables before running a regression.
What if the relationship between Y and x1 depends on x2?
Now that we have a thorough understanding of the Frisch-Waugh Theorem, we can take another perspective on IV-Regression: Two-Stage Least Squares
OK we have learned about Frisch-Waugh. But how do we use that to anser questions we care about?
What happens when we use multiple predictors in a OLS regression?
Sometimes RCTs just occur naturally.
The gold standard to estimate causal effects are RCTs; today we learn why.
Correlation ≠ causation! But why?
Assumptions, categorical predictors, binary outcomes, and visualization
How do we generalize from samples and why is randomness so extremely important in statistics.
OLS regression is the backbone of social data science.
This semester, we will delve into the realm of multiple OLS regression and its application in estimating causal effects.