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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
Visual for Discrete Choice Modeling

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

  1. Explain substitution patterns without overfitting brand effects
  2. Run counterfactuals with stated assumptions
  3. Pair model outputs with sampling caveats
Portrait for Dr. Olivia Hart

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.

— James · Consulting intern · Trustpilot

Questions we expect

We reference hierarchical Bayes conceptually; estimation depth stays classical.
Ready to talk fit?
Admissions responds with prerequisites and employer letter options.
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