Causal inference Course
This course equips you with essential causal inference techniques for economics. Clean and analyse data, construct DAGs, implement matching, regression, and IV approaches, perform robustness tests, and convert programme data into trustworthy impact assessments for informed policy and business decisions. Ideal for turning evidence into action.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in causal inference to design and assess programmes with reliable impact results. Master DAGs, counterfactuals, matching, weighting, regression, and instrumental variables. Handle data prep, diagnostics, and checks. Use R or Python for repeatable workflows, clear reporting, and evidence-based policy or investment choices.
Elevify advantages
Develop skills
- Design causal DAGs to identify biases and valid paths clearly.
- Estimate treatment effects via regression with strong economic insights.
- Implement matching, PS, IPW, and diagnostics for fair comparisons.
- Apply instrumental variables, 2SLS, and justify LATE in policy contexts.
- Develop reproducible workflows for transparent causal analysis and reporting.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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