Introduction to Discrete Choice Models

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Human behavior is complexand unpredictable. Or is it?

The focus of this course is methods for predicting the behavior using mathematical models. More specifically, we'll explore choice modeling in order to obtain disaggregate demand models.

Focusing on the logit model, the course covers the specification of the model, the estimation of its parameters, the validation process, andits application. Exercises using the software Biogeme are also part of its makeup. The course relies on concrete case studies with real data sets, which are provided in course content.

What you will learn

• The behavioral assumptions associated with disaggregate choice models
• The derivation of operational models
• The art of model specification
• The estimation of model parameters from choice data
• The testing of model specifications
• Concrete applications of the estimated models

Skills you learn

• Forecasting
• Demand Modeling
• Choice Modeling
• Mathematical Modeling

Syllabus

1. Introduction to behavior modeling
2. Theoretical foundations
3. Binary choice
4. Biogeme: an open-source software for estimating choice models
5. Choice with multiple alternatives
6. Testing
7. Forecasting

Auto Summary

"Introduction to Discrete Choice Models" focuses on the theoretical foundations and operational steps of choice modeling within the Science & Engineering domain. Offered by edX and lasting 84 hours, it is ideal for learners seeking awareness-level knowledge. Subscription options include Starter and Professional.