Mathematical modeling of behavior

For the first part of the course, the students are supposed to learn the theory by themselves, using the online documents and videos that are provided. The second part of the course, covering more advanced material, consists of traditional ex-cathedra lectures. Exercices and laboratories are organized every week. The organization of the semester is described below. During the five weeks appearing in white, there will be no lecture, but there will be laboratories from 10:15 to 12:00.


Date Topic Type of learning Online material Chapter in the textbook
Sep 19 Introduction Ex-cathedra lecture Chapter 1 (1.2)
Sep 26 Choice theory Self-learning Chapter 3 - Choice theories
Oct 3 Binary choice Self-learning Chapter 4 - Binary Choice
Oct 10 Multiple alternatives Self-learning Chapter 5 - Choice with multiple alternatives
Oct 17 Summary, discussions, examples - Questions and answers Ex-cathedra course
Oct 24 Tests Self-learning Chapter 6 - Specification testing
Oct 31 Forecasting Self-learning Chapter 10 - Prediction
Nov 7 Summary, discussions, examples - Questions and answers Ex-cathedra course
Nov 14 Nested logit Ex-cathedra course Chapter 7 - The nested logit model
Nov 21 Multivariate Extreme Value models Ex-cathedra course Chapter 8 - Multivariate Extreme Value models
Nov 28 Sampling Ex-cathedra course Chapter 2.3 - Statistical inference and sampling
Dec 5 Mixtures Ex-cathedra course Train (2003), Chapter 6 - Mixed logit
Dec 12 Latent variables Ex-cathedra course Walker (2001), Chapter 3 - Integration of choice and latent variable models
Dec 19 Panel data Ex-cathedra course No reading



Additional references


Tuesday 08:15-10:00
Tuesday 10:15-12:00



Ex-cathedra lectures

September 19
October 17
November 7
November 14
November 21
November 28
December 5
December 12
December 19


September 26
October 3
October 10
October 24
October 31