Social Data Science
Syllabus
Calendar
Problem Sets
Problem Set 1: Code Basics
Piazza
Honors Section
Welcome
Asking questions with data
Accessing data
Preparing data
Sketching a visualization
Writing
Presenting orally
Extension Requests
Past Year Sites
Causal Inference with Unmeasured Confounding
Instrumental Variables
Home
Getting Started
Research Questions in Social Data Science
Software Prerequisites
Basics of R
Visualizing a Distribution
Summary Statistics
Population Sampling
Confidence Intervals
Models for Subgroup Summaries
Linear Regression
Logistic Regression
Forests
Data-Driven Estimator Selection
Are Complex Models Better?
Causal Inference with Measured Confounding
Defining Causal Effects
Exchangeability
Directed Acyclic Graphs
Matching
Models for Causal Inference
Causal Inference with Unmeasured Confounding
Difference in Difference
Regression Discontinuity
Instrumental Variables
Causal Inference with Unmeasured Confounding
Instrumental Variables
Instrumental Variables
To be written.
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Regression Discontinuity