Social Data Science
Syllabus
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Causal Inference with Unmeasured Confounding
Regression discontinuity
Summarizing Distributions
Empirical Questions
Using Data
Distributions and Summaries
Population sampling
Confidence Intervals
Models for Subgroup Summaries
Subgroup Summaries by Prediction
Forests
Data-driven selection of an estimator
Are complex models better?
Causal Inference under Measured Confounding
Defining causal effects
Exchangeability
Directed Acyclic Graphs
Models for causal inference
Continuous treatments
Causal Inference with Unmeasured Confounding
Difference in difference
Regression discontinuity
Instrumental variables
Software and Coding
Software Prerequisites
Visualization
Data transformation
Causal Inference with Unmeasured Confounding
Regression discontinuity
Regression discontinuity
Topic for 3/4.
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Difference in difference
Instrumental variables