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HOME / DOCUMENTS / LECTURE NOTES FOR ADVANCED QUANTITATIVE POLITICAL METHODOLOGY /

Research Designs for Causal Inference

  • Lecture Notes for Advanced Quantitative Political Methodology
    • Introduction
    • Theories of Inference
    • Models for Binary Outcome Variables
    • Assorted Models for Single Variable Outcomes
    • Model Evaluation
    • Research Designs for Causal Inference
    • Detecting and Reducing Model Dependence in Causal Inference
    • Multiple Equation Models
    • Models for Missing Data
    • Anchoring Vignettes for Interpersonally Incomparable Survey Responses
    • Supplement: What's the Big Idea?
The lecture slides are here and the handout for one-page-at-a-time (color) printing is here. 
Lecture 6
"Research Designs for Causal Inference" covers the following topics:
  1. Components of Causal Estimation Error
  2. Research Designs
  3. Issues in Ideal Designs
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