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.

2016 Lecture

  Slides used in class
  5modeldependencematching.r

2015 Lecture

  Slides used in class
  5modeldependencematching.r

2014 Lecture

  Lecture 9 Video (2 hrs)
  Slides used in class
  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)

Matching Methods to Ameliorate Model Dependence

Matching methods as nonparametric preprocessing to reduce model dependence in parametric causal inference.

2016 Lecture

  Slides for class

2015 Section

 Section 9 Slides
 Section 9 Slides - Handout

2015 Lecture

  Lecture 10 video (4-13)
  Lecture 9 video (4-6)

  Slides for class

2015 Section

  Section 11 video (4-15)
  Slides for section 11 class
  R code for section 11 class
  Section 10 video (4-8)
  Slides for section 10class

2014 Lecture

  Slides for class

2014 Section
  Section 11 Video (2 hrs)
  Section 11 Slides (printable)
  Section 11 R Code
  Section 10 Video (2 hrs)
  Section 10 Slides (printable)

2013 Lecture

  Lecture 9 Video (2 hrs)
 Slides used in class
 Printable version of slides
 R Code

2013 Section
  Section 10 Video (2 hrs)
  Section 10 Slides (printable)

2012 Lecture

 Lecture 8 Video (2 hrs)
 Slides used in class
 Printable version of slides
 R Code

2012 Section

 Section 9
 section9.pdf
 Section 9 R Code

2010 Lecture, selections assigned this year:

 psparap2011.pdf
 Intro to Matching and Review of Model Dependence (06:02)
 Matching as Solution to Model Dependence (27:23)
 Matching and Causal Quantities of Interest (07:44)
 3 Methods of Matching (25:22)
 Space Graphs: Visualizing Bias-Variance Tradeoff in Matching (17:30)
 Reorientation on Matching Methods and Space Graphs (16:03)
 Propensity Score Matching as Approximating Random Matching (15:57)
 Problems with Popular Matching Methods and CEM as a Valuable Alternative (11:46)

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.

2016 Lecture

  Slides used in class

2015 Lecture

  Lecture 11 video - 4-20 (2 hrs)
  Slides used in class

2015 Section

  Section 12 video - 4-22 (1 hr)
  Section Slides

  Section Code

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)