Applied Microeconomics
Causal Inference Workshop
Map causal questions to estimators, design falsification tests, and report results without overreach.
A sprint-style workshop alternating DAG sketches with applied labs on difference-in-differences, regression discontinuity, and matching. Emphasis stays on identifying assumptions you can explain to a skeptical reviewer.
- Format
- Intensive workshop
- Duration
- 5 weeks · intensive
- Level
- Advanced
- Software
- R
- Topic
- Causal inference
- Tuition
- 10,200 THB · informational until admissions confirms
What is included
- DAG peer sessions with structured critique prompts
- RDD bandwidth sensitivity tables as a standard deliverable
- Matching workflows with transparency checks
- Guest discussion on ethics of natural experiments
Outcomes you can evidence
- State estimators in words a policy client understands
- Produce falsification tests that belong in an appendix
- Separate statistical noise from substantive claims
Lead contact
Dr. Ethan Prasert
Published on migration and education interventions; advises NGOs on evaluation design.
Participant voices
The RDD bandwidth lab from Causal Inference Workshop saved my thesis committee meeting — still stiff on DAG notation though.
Questions we expect
Ready to talk fit?
Request information Admissions responds with prerequisites and employer letter options.