Descriptor
| Causal Models | 1 |
| Identification | 1 |
| Prior Learning | 1 |
| Regression (Statistics) | 1 |
Source
| Evaluation Review | 1 |
Author
| Freedman, David A. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkFreedman, David A. – Evaluation Review, 2004
This article (which is mainly expository) sets up graphical models for causation, having a bit less than the usual complement of hypothetical counterfactuals. Assuming the invariance of error distributions may be essential for causal inference, but the errors themselves need not be invariant. Graphs can be interpreted using conditional…
Descriptors: Prior Learning, Identification, Causal Models, Regression (Statistics)
