Causal Inference

Detecting Model Dependence

Sensitivity to parametric assumptions, revealing inferences too far from the data to have empirical answers, the curse of dimensionality, extrapolation, measures of distance from the data.

2014 Lecture

  Lecture 9 Video (2 hrs)
  
Slides used in class
  Printable version of slides 
  5modeldependencematching.r

2013 Lecture

  Lecture 9 Video (2 hrs)
  
Lecture 8 Video (2 hrs)
 Slides used in class
 Printable version of slides 
 5modeldependencematching.r

2012 Lecture

 Lecture 7 Video (2 hrs)
  Slides used in class
  Printable version of slides
 5modeldependencematching.r

2012 Section

Section
Section: Slides

2010 Lecture, selections assigned this year:

 Slides used in these videos
 Model Dependence (27:42)
 Example of Model Dependence (Doyle and Sambanis, APSR 2000) (13:13)

Research Designs

An overview of how key features of various observational and experimental research designs, and the designs themselves, reduce components of error in estimating causal effects.

2014 Lecture

  Lecture 10 video (2 hrs)
  Slides used in class

  Printable version of slides
  R Code

2013 Lecture

 Lecture 10 Video (2 hrs)
 Slides used in class
 Printable version of slides
 R Code

2013 Section

  Section11
  Section 11 Slides

2012 Section

 Section10
 Section 10 Slides

2010 Lecture, selections assigned this year:

 matchsetlkp2010.pdf
 Causal Quantities of Interest and Error Decomposition (44:35)
 Benefits of Major Research Designs (38:28)