Econometrics
Discrete Choice Modeling
Estimate multinomial and nested logits, interpret substitution patterns, and simulate counterfactuals carefully.
Transport and retail examples motivate hierarchical choice structures. Simulation exercises emphasise scenario transparency over flashy dashboards.
- Format
- Blended cohort
- Duration
- 6 weeks · blended
- Level
- Advanced
- Software
- Stata, Python
- Topic
- Discrete choice
- Tuition
- 9,900 THB · informational until admissions confirms
What is included
- Multinomial labs with IIA discussion that respects practitioners
- Nested logit tree drawing sessions
- Counterfactual simulation worksheets
- Reporting standards for elasticities
Outcomes you can evidence
- Explain substitution patterns without overfitting brand effects
- Run counterfactuals with stated assumptions
- Pair model outputs with sampling caveats
Lead contact
Dr. Olivia Hart
Industrial organisation focus; advises mobility pilots.
Participant voices
Discrete Choice Modeling — nested logit tree critique was sharper than my manager’s.
Questions we expect
Ready to talk fit?
Request information Admissions responds with prerequisites and employer letter options.