Linear Models: A Useful Microscope for Causal Analysis
Abstract
This note reviews basic techniques of linear path analysis and demonstrates using simple examples, how causal phenomena of non-trivial character can be understood, exempli ed and analyzed using diagrams and a few algebraic steps. The techniques allow for swift assessment of how various features of the model impact the phenomenon under investigation. This includes: Simpson's paradox case-control bias, selection bias, collider bias, reverse regression, bias ampli - cation, near instruments, and measurement errors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2013
- Accession Number
- ADA579021
Entities
People
- Judea Pearl
Organizations
- University of California, Los Angeles