BEHAVIORAL ECONOMICS AND CONSUMER DECISION MAKING
Instructional goals
This course offers an introduction to behavioral economics and its applications towards theories of consumption. At the end of the course, students will be expected to have learned the fundamentals of the behavioral approach to judgment and decision making and, most importantly, to have learned the tools and acquired the skills necessary to successfully apply behavioral insights in the context of marketing and consumption.
Intended learning outcomes
(1) Knowledge and understanding: The course will offer key concepts and ideas from behavioral economics and psychology, both in the context of decisions and in the context of judgment. Students will be able to appreciate behavioral descriptive theories of choice and judgment against the backdrop of traditional normative theories of rationality such as expected utility theory and Bayesian updating. Particular emphasis will be given to the application of behavioral insights for ethically influencing consumer behavior (nudging). (2) Applying knowledge and understanding: An integral part of this course is the project work that students will build throughout the semester with the help of the instructors' and peers' feedback. They will learn how to take insights from behavioral economics and apply them to a behavioral issue to try and bring about behavior change. While students will not be expected to be carrying out actual experiments, they are supposed to provide both a behavioral diagnosis to identify the levers of behavior change, and an application of behavioral insights to operate those levers. (3) Making judgements: Students will be able to understand the bounds of traditional normative models, which will improve their analytical and decision-making skills. In particular, students will appreciate the importance of taking into account data and the pitfalls of relying on partial data, as it is often intuitively done. Thus, this course not only will expand the conceptual toolbox of students, enabling them to make judgment on a wider area, but will also give students the conceptual tools to avoid common mistakes and ameliorate their judgment skills. (4) Communications Skills: Part of the lectures will be devoted to class discussion, helping students articulate their knowledge and sharpen their communication skills. Part of student assessment will revolve around presentations, discussions and providing feedback. (5) Learning skills: This course stresses the importance of autonomous learning and will empower students by offer them innovative analytical tools to reason about choices in society and in the economic models on which behavioral interventions are based.
Course Contents
The first, introductory, module will revolve around the conceptual tools necessary to grasp and master the behavioral approach to economics. In this module we will discuss the main theoretical ideas of behavioral economics, contrasting them with the traditional approach both in the context of choice (prospect theory) and in the context of judgment (heuristics and bias). In the second part of the course we will discuss interdependent choice and the impact of social norms on behavior. The third part of the course will offer students the applicative tools necessary to carry out a behavioural intervention. In particular we will delve into nudge theory, that is, the application of behavioral insights to help people make better decisions. Throughout the course, a project will be developed to apply the knowledge that is gradually acquired.
Reference Books
Required: - Dilip Soman, The Last Mile - Cristina Bicchieri, Norms in the wild Suggested: - Kahneman, Thinking Fast and Slow - Lewis, The Great Undoing Project - Angner, A textbook in behavioral economics 3rd ed. - Cartwright, Behavioral Economics - Dawes and Hastie, Rational Choice in an Uncertain World - Hallsworth, Behavioral insights
Teaching Methods
Lectures, Discussion, Flipped classroom, Presentations
Assessment Method
Student will be assessed throughout the semester: - PW proposal (10%) - Conceptual map, individual assessment (20%) - PW final submission (30%) - presentation (10%) - final exam (30%)
Thesis assignment criteria
28+, timely request, agreed upon topic.
Week 1
Introduction to Behavioural Economics
Week 2
Expected Utility Theory; Introduction to PW
Week 3
Violations to expected utility theory
Week 4
behavioral insights 1: descriptive theories of behavior
Week 5
behavioral insights 2: heuritiscs and bias (representativeness, anchoring and availability)
Week 6
Social norms 1 (PW PROPOSALS DUE AT THE END OF THE WEEK)
Week 7
Social norms 2
Week 8
Flipped classroom
Week 9
Nudging: tools and ethical aspects (individual assessment "Conceptual Map of Social Norms due at the end of the week)
Week 10
De-biasing, cognitive empowerment (FINAL PW DUE AT THE END OF THE WEEK)
Week 11
Bias, generative AI and regulation
Week 12
PW presentations