Students will learn:
- core concepts and models in the field of decision theory and behavioral economics;
- how to apply the acquired knowledge to the analysis of specific economic cases;
- how to design and run laboratory and online experiments with common experimental softwares (zTree and oTree).
The course is divided into two parts. The first half, on behavioral decision theory,
studies models in which standard economic rationality assumptions are
combined with psychologically plausible assumptions on behavior. We consider
whether the new models improve ability to predict and understand choice under
uncertainty (and certainty), probabilistic judgment, and intertemporal choice.
The second half, on behavioral game theory, studies how players model others’
decisions in initial responses to games; and how players learn to predict others’
decisions via learning in repeated play of analogous games.
Lectures will be held on campus, unless otherwise specified by the competent authority on containment and management of epidemiological emergency.
Final written exam