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HOME / DOCUMENTS / LECTURE NOTES FOR QUANTITATIVE SOCIAL SCIENCE METHODS, I /

Multiple Equation Models

  • Lecture Notes for Quantitative Social Science Methods, I
    • 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 a handout for one-page-at-a-time (color) printing is here. 

"Multiple Equation Models" covers the following topics:

  1. Identification
  2. Seemingly Unrelated Regression Models
  3. Reciprocal Causation (Endogeneity)
  4. Multinomial Choice Models
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