- Docente: Giorgio Tassinari
- Credits: 10
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)
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from Sep 18, 2024 to Dec 12, 2024
Learning outcomes
At the end of the course, students known and will be able to implement statistical tools useful for market research and intelligence. In particular students will be able to: design and realize a statistical survey concerning consumer's preferences on alternatives brands; estimate, evaluate and interpretate the results of the utilizations of discrete choice models and of market response models.
Course contents
Part One - Brand Choice Models
Random Utility Models
Multinomial Logit Model
IIA assumption
Nested Logit Models
Probit Model
Case Studies
Part Two - Flexible Segmentation
Conjoint Analysis
Market Share Simulation
Part Three - Market Response Models
Analysis of Advertising's Recall
Sales Response Models
Market Share Response Models
SUR Method
Dynamic Response Models
Case Studies
Part Four: Customer Satisfaction Measurement and Analysis
SEM Models
case Sudies
Readings/Bibliography
Part One
Franses, P.H., Paap, R. (2001), Quantitative modeling in marketing research, Cambridge University Press.
Part Two
Brasini, S., Freo, M., Tassinari, F., Tassinari, G. (1999), Marketing e pubblicità, Il Mulino, Cap. 6.
Part Three
Brasini, S., Freo, M., Tassinari, F., Tassinari, G. (1999), Marketing e pubblicità, Il Mulino, Capp. 7-8
Hanssens, D.M., Parsons, L., Schultz, R.L. (2002), Market response models: econometric and time series analysis, Kluwer.
Parte Four
Lecture notes on the teacher's website
Teaching methods
Aiming to develop a teaching method more interactive as possible, the class work will be made by frontal lectures, case studies and group work.
It is compulsory that students have attended the module 1 and 2 of formation to security on work places, in e-learning mode.
Assessment methods
Exam is written and is formed by three questions, two of theoretical kind and one of interpretations of the results of the applications of ine of the statistical methods object of the course. Student can substitute the "interpretative" answer with a group work to present during classes (this work weights one third of the exam).
Teaching tools
Files with the slides of the lectures on teacher's website.
Data set and research papers on the teaches's web site.
Case studies on the teacher website
Office hours
See the website of Giorgio Tassinari
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.