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Overview
What you will learn
- The Discrete Choice Analysis - Predicting Individual Behavior and Market Demand course offered by Massachusetts Institute of Technology (MIT) consists of a series of lectures and lab sessions that develop discrete choice concepts and techniques and demonstrate their applications.
- The labs offer hands-on experience in applying the material covered in the lectures using discrete choice software and real-world data sets.
The learning outcomes of the course are:
- Understanding discrete choice models and their applications.
- Learning to apply new discrete choice techniques.
- Understanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.
- Utilizing commonly available software to estimate and test discrete choice models from real databases.
Programme Structure
The program focuses on:
- Choice Behavior
- Binary Choice Models
- Specification and Estimation of Choice Models
- Discrete Choice and Machine Learning
- Stated Preference Methods
- Multinomial Choice Models: Probit and Logit
- Specification Testing
- Aggregate Forecasting and Microsimulation
- IIA Tests
- Nested Logit Models
- Extreme Value Models
- Sampling and Estimation
- Mixture Models
- Simulation-Based Estimation
- Dynamic Choice Models and Panel Data
- Combining Revealed and Stated Preferences
- Models with Latent Variables
- Choice from a Menu
- Bayesian Estimation
- Online applications
- Endogeneity and Self-Selection
- Choice Behavior and the Measurement of Well-Being
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
3 alternative credits
Delivered
Online
Campus Location
- Boston, United States
Disciplines
Marketing Management View 19 other Short Courses in Marketing Management in United StatesWhat students do after studying Business & Management
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This program is intended for academics and professionals interested in learning new discrete choice techniques and how to predict choice and forecast demand.
- It is particularly suited for academics engaged in research, especially PhD students in economics, planning, civil engineering, management, behavioral science, health science, and political science.
- This course will also benefit professionals in market research, transportation consulting, planning, and any government agencies.
Technological requirements
- Participants will need to install Biogeme.
- Tablets will not be sufficient for the computing activities performed in this course.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents4900 USD / full≈ 4900 USD / full - Out-of-State4900 USD / full≈ 4900 USD / full
-
Domestic
Applies to youIn-State4900 USD / full≈ 4900 USD / full
Funding
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