Course Content
Lectures are given from Monday July 24 to Friday July 28, 6 hours per day. Each day is based on 4 sections of teaching: 2 in the morning before lunch dealing with theory, and 2 in the afternoon, dealing with applications and tutorial on pc.
A certificate will be awarded to all participants. A final test is scheduled on July 28, 2017 for those who need credits recognition.
Course Schedule
July 24th: Mon
08:30 AM - 09:00 AM Welcome Note from Titus O. Awokuse (Chairperson in the department) and Vincenzina Caputo (Director of the summer school)
09:00 AM - 10:30 AM Lecture 1 Discrete Choice Models: a theoretical background
10:30 AM - 11.00 AM Coffee break
11:00 AM - 12.30 PM Lecture 2 Multinomial, Mixed and Error Component Logit Models
12:30 PM - 14.00 PM Lunch break
14:00 PM - 15.30 PM Lab 1 Estimating Multinomial Logit Model
15:30 PM - 16.00 PM Coffee break
16:00 PM - 17.30 PM Lab 2 Estimating Mixed Logit and Error Component Logit Models
July 25th: Tue
09:00 AM - 10:30 AM Lecture 3 Design a choice experiment study (Part 1)
10:30 AM - 11.00 AM Coffee break
11:00 AM - 12.30 PM Lecture 4 Design a choice experiment study (Part 2)
12:30 PM - 14.00 PM Lunch break
14:00 PM - 15.30 PM Lab 3 Generating experimental Designs (Part 1)
15:30 PM - 16.00 PM Coffee break
16:00 PM - 17.30 PM Lab 4 Generating experimental Designs (Part 2)
July 26th: Wed
09:00 AM - 10:30 AM Lecture 5 Latent Class Logit Models
10:30 AM - 11.00 AM Coffee break
11:00 AM - 12.30 PM Lecture 6 Conditional and Unconditional Willingness to Pay (WTP)
12:30 PM - 14.00 PM Lunch break
14:00 PM - 15.30 PM Lab 5 Estimating Latent Class Logit Models
15:30 PM - 16.00 PM Coffee break
16:00 PM - 17.30 PM Lab 6 Estimating Conditional and Unconditional WTPs
July 27th: Thu
09:00 AM - 10:30 AM Lecture 7 Stated Attribute non-Attendance discrete choice models (DCM)
10:30 AM - 11.00 AM Coffee break
11:00 AM - 12.30 PM Lecture 8 Inferred Attribute non-Attendance DCM
12:30 PM - 14.00 PM Lunch break
14:00 PM - 15.30 PM Lab 7 Estimating Stated Attribute non-Attendance DCM
15:30 PM - 16.00 PM Coffee break
16:00 PM - 17.30 PM Lab 8 Estimating Inferred Attribute non-Attendance DCM
July 28th: Fri
09:00 AM - 10:30 AM Lecture 9 Case Study 1: Transportation
10:30 AM - 11.00 AM Coffee break
11:00 AM - 12.30 PM Lecture 10 Case Study 2: Environmental Economics
12:30 PM - 14.00 PM Lunch break
14:00 PM - 15.30 PM Lab 9 Case Study 3: Rural Economics in Developing Countries
15:30 PM - 16.00 PM Coffee break
16:00 PM - 17.30 PM Lab 10 Case Study 4: Food Choices models
19:00 PM Social Dinner