Courses: Course information

en  Theory and analysis of conditional and average causal effects at the European Congress of Methodology [EAM 2018]

Speakers: Prof. Dr. Rolf Steyer

Summer term 2018, Workshop, Language: English, Topic: Analysis of causal effects

This short course is an introduction to the stochastic theory of causality, which is a generalization of the theory of causal effects in the tradition of J. Neyman and D. B. Rubin. In the course I will present the stochastic theory of causal effects and show how to use EffectLiteR for the analysis of conditional and average total effects.

Contents

  • Motivation: Simpson's paradox, non-orthogonal ANOVA
  • The scope of the theory: random experiments
  • The mathematical structure of causal models: causality space
  • True outcome variables, average and conditional causal effects
  • Prima facie effects
  • Sufficient conditions for unbiasedness
  • The role of randomization and other design techniques and strategies of data analysis
  • Estimating and testing average and conditional total effects via structural equation modeling (Applications using EffectLiteR) in some empirical examples

This course was a pre-conference workshop in front of the VIII European Congress of Methodology [EAM 2018] at the University of Jena, Germany.



In order to view the videos, you need the VLC Player VLC media player which you can download here. The videos are hosted at the Digitale Bibliothek Thüringen Digitale Bibliothek Thüringen (dbt). The green linked videos and materials are for free. Click the green link to watch the video or download the file! In order to access all materials and videos, you need to log in.

 
Video of this workshop