Impact Evaluation and Causal Inference (MEA 402)
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MEA 402 – IMPACT EVALUATION AND CAUSAL INFERENCE
Module Objective
To provide advanced knowledge of causal inference and rigorous approaches to determining whether interventions produce observed effects.
Learning Outcomes
Learners should be able to:
1. Explain causal inference.
2. Define counterfactuals.
3. Critically assess experimental designs.
4. Analyse quasi-experimental designs.
5. Assess causal assumptions.
6. Interpret causal estimates.
7. Identify threats to causal validity.
8. Assess heterogeneous treatment effects.
9. Critically evaluate impact studies.
10. Apply causal evidence to programme decisions.
Module Content
1. Causal inference
2. Counterfactual reasoning
3. Potential outcomes framework
4. Experimental evaluation
5. Randomisation
6. Quasi-experimental evaluation
7. Difference-in-differences
8. Matching
9. Regression discontinuity
10. Instrumental variables
11. Longitudinal designs
12. Panel data
13. Selection bias
14. Confounding
15. Attrition
16. Treatment effects
17. Heterogeneous effects
18. Causal assumptions
19. Causal interpretation
20. Policy application of causal evidence
IPSD Contact Information
Mr. Peter Senesie, IPSD Assistant Vice President and Dean
Email: psenesie@pathsu.education
Whats App: +232 76 752525
Dr. Michael Udam, Associate Dean, IPSD
Email: mudam@pathsu.education
Whats App: +234 803 249 6398
IPSD Website: PATHS University IPSD
Admissions: admissions@pathsu.education