Resources for causal inference without control groups

In this morning’s Ignite session at AEA 2012, I did a five minute explanation of ways of doing causal inference without control groups, comparison groups or a counterfactual, using a three-part strategy:

1.Do lots of little tests of the hypothesis –  is the factual consistent with the causal explanation?
2.Check out alternative explanations carefully
3.Subject your work to wide scrutiny

Not surprisingly, much of the detail was left out about the three approaches which use these strategies in a systematic way.  Click the links to access descriptions and resources from the BetterEvaluation site.

Multiple Lines and Levels of Evidence

Contribution Analysis (developed by John Mayne, Canada)

Collaborative Outcomes Reporting  (developed by Jess Dart, Australia).

 

Previous posts which discuss causal inference include:

Causal inference for program theory evaluation

 

 

 

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