Behavioral Economics

Teachers

Included in study programs

Teaching results

Teaching results:
Course objective
The aim of the course is to provide students with systematic and analytically based knowledge of behavioral approaches in economics and their use in explaining deviations in the behavior of economic agents from the rationality assumed by standard economic theory. The course focuses on identifying and analyzing behavioral biases in individual decision-making and assessing their implications for market functioning, corporate behavior, and public policy-making. Emphasis is placed on applying behavioral economics insights to design effective interventions and policy measures at both the micro and macro levels.
Knowledge
Graduates of the course have advanced knowledge of the theoretical foundations and methodology of behavioral economics, including prospect theory, heuristics and behavioral biases, social and time preferences, and behavioral nudges. They understand the mechanisms through which behavioral factors influence individual decision-making, corporate behavior, and the functioning of public institutions, and are familiar with the areas of application of behavioral approaches in microeconomics, macroeconomics, and public sector economics.
Competencies
Students acquire the competence to identify and analyze systematic deviations in the behavior of economic agents from rationality and to compare behavioral and neoclassical approaches in economic analysis. They are able to assess the consequences of behavioral biases for the efficiency of markets and public policies and to propose alternative solutions and interventions aimed at mitigating these deviations. The acquired competencies enable them to apply a behavioral approach in the analysis and evaluation of specific economic problems at both the micro and macro levels.
Skills
Students acquire the skills to apply behavioral economics tools to solve specific case studies from practice, interpret the results of empirical behavioral research, and critically assess the effectiveness of behavioral interventions. They are able to formulate analytically based recommendations for business practice and public policy, present their conclusions, and defend them on the basis of economic arguments. They are able to work effectively in a team and communicate complex economic knowledge in an understandable way.

Indicative content

1. Behavioral economics – origins and genesis
(relationship to standard economics, basic concepts)
2. Methodology of behavioral economics
(experiments, field studies, overlap with other social sciences)
3. Decision-making under uncertainty
(prospect theory and its implications)
4. Preferences in behavioral economics
(social and time preferences)
5. Heuristics and behavioral biases
(systematic deviations in decision-making)
6. Behavioral nudges
(intervention design and choice architecture)
7. Behavioral approaches to well-being and happiness
(well-being measurement, subjective evaluation)
8. Behavioral microeconomics and the public sector
(tax policy, regulation, public services)
9. Behavioral approaches in industrial economics
(pricing, competition, consumer behavior)
10. Behavioral economics in healthcare and pension systems
(health behavior, savings, insurance)
11. Behavioral economics in developing economies
(poverty, decision-making, institutions)
12. Behavioral approaches in finance
(investment decision-making, market anomalies)
13. Behavioral interventions in public policy
(empirical experience, effectiveness evaluation)
The topics of seminars are related to the topics of lectures.

Support literature

Literature:
REQUIRED
Dhami, S. (2017). The foundations of behavioral economic analysis. Oxford: Oxford University Press. ISBN 978-0198715535.
Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. New York: W. W. Norton & Company.
Thaler, R. H. (2017). Neočekávané chování. Praha: Argo.
SUGGESTED
Wilkinson, N., & Klaes, M. (2012). An introduction to behavioral economics (2nd ed.). London: Palgrave Macmillan.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
List, J. A. (2003). Does market experience eliminate market anomalies? The Quarterly Journal of Economics, 118(1), 41–71.
DellaVigna, S., List, J. A., & Malmendier, U. (2012). Testing for altruism and social pressure in charitable giving. The Quarterly Journal of Economics, 127(1), 1–56.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.
Rabin, M., & Schrag, J. L. (1999). First impressions matter: A model of confirmatory bias. The Quarterly Journal of Economics, 114(1), 37–82.
Loewenstein, G., O’Donoghue, T., & Rabin, M. (2003). Projection bias in predicting future utility. The Quarterly Journal of Economics, 118(4), 1209–1248.
Kahneman, D., & Krueger, A. B. (2006). Developments in the measurement of subjective well-being. Journal of Economic Perspectives, 20(1), 3–24.
Akerlof, G. A., & Shiller, R. J. (2009). Animal spirits: How human psychology drives the economy, and why it matters for global capitalism. Princeton, NJ: Princeton University Press.
Akerlof, G. A., & Shiller, R. J. (2010). Animal spirits: Jak lidská psychologie ovlivňuje ekonomiku. Praha: Academia.

Requirements to complete the course

40% continuous assessment in seminars
60% final written exam

Date of approval: 27.02.2025

Date of the latest change: 22.01.2026