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Course Program: Image

COURSE PROGRAM

EACH MODULE CONSISTS OF A 3.5 HOUR LIVE ONLINE SESSION, PLUS A SERIES OF PRERECORDED VIDEOS TO EXPLAIN KEY CONCEPTS/THEORIES AND TO DEMONSTRATE SOFTWARE TOOLS

Course Program: Courses

SESSION 1: INTRODUCTION TO CHOICE MODELLING

  • Why do we model choices?

  • Key concepts in a choice model

  • Decision rules

  • Logit model and formulating utility functions

SESSION 2: CHOICE DATA COLLECTION

  • Stated and revealed preference data

  • Survey design

  • Sampling

  • Data processing

SESSION 3: CHOICE MODEL ESTIMATION

  • Estimation theory

  • Apollo model estimation software

  • Interpreting model outputs

  • Case studies

SESSION 4: DESIGNING CHOICE EXPERIMENTS

  • Orthogonal and efficient experimental designs

  • Ngene experimental design software

  • Advanced experimental designs

  • Examples of choice experiments

SESSION 5: USING CHOICE MODEL RESULTS

  • Model diagnostics

  • Hypothesis testing

  • Determining willingness-to-pay

  • Forecasting choice shares

SESSION 6: ACCOUNTING FOR RANDOM HETEROGENEITY

  • Sources of heterogeneity

  • Latent class analysis

  • Mixed logit

SESSION 7: ADVANCED CHOICE MODELLING

  • Discrete continuous choice models

  • Hybrid choice models

  • Alternative decision rules

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