This module covers the estimation and usage of discrete choice models that are increasingly estimated using simulation methods. Discrete choice models are used to examine the choices of individual consumers, households, firms and other agents. The module covers the main discrete choice models and a variety of specifications that build on these models, as well as standard maximum likelihood and simulation-based estimation techniques. Discrete choice models are applicable in many fields, including energy, environmental studies, health, labour, marketing, urban economics and transportation. This module can be taken on its own, or as part of a PG Certificate, PG Diploma or Full Masters Programme.
Please note to take this course you must first have completed Foundations of Econometrics.
Two-hour lectures per day over five days, plus a one-hour tutorial each day, with optional clinics on the final day. Sessions are live online and recorded.
Approximately 100 hours of study, of which 15 are contact hours and 85 are private study.
PcGive, R gets
10 CATS credits

Programme Faculty
Online coursework submission with the support of your module lecturer and tutor. All sessions are conducted live online at a scheduled time and recorded for review.