Unit 1
Unit I Intro to Prospect Theory Rational decision making: standard vs behavioral approach. Heuristics and biases. Empirical methods for behavioral economics. Field and lab experiments. Econometrics review. Qualitative methods.
Course Name | Behavioral Economics & Public Policy |
Course Code | 25SDS601 |
Program | M.Sc. in Social Data Science & Policy |
Semester | 3 |
Credits | 4 |
Campus | Faridabad |
Unit I Intro to Prospect Theory Rational decision making: standard vs behavioral approach. Heuristics and biases. Empirical methods for behavioral economics. Field and lab experiments. Econometrics review. Qualitative methods.
Unit II Static and Dynamic Models of Individual Decision-Making Loss aversion, reference points, status quo. The endowment effect. Present bias and commitment devices. Multiple selves models and their applications to temptation, self-control, procrastination.
Unit III Applications of Behavioral Economics to Public Policy Architecture of choice and the nudging Debate. Mental accounting, nudging and applications to savings, microfinance, health, and education.
Unit V Behavioral Game Theory Behavioral theories of collective decision making: inequity aversion, fairness, reciprocity, guilt aversion, etc. Experimental evidence.
Textbooks and Papers:
Thaler, Richard H., and Cass R. Sunstein (2021). Nudge: The Final Edition. Yale University Press.
Ashraf, N., Bandiera, O. and Jack, B.K. (2014). No margin, no mission? A field experiment on incentives for public
service delivery. Journal of Public Economics 120 (December): 1-17
Ashraf, N., Camerer, C. F. and Loewenstein, G. (2005). Adam Smith, Behavioral Economist. Journal of Economic
Perspectives 19(3): 131145.
Kamenica, E. (2012). Behavioral Economics and Psychology of Incentives. Annual Review of Economics 4(1): 427
Reference Books:
Ariely D. (2010) Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions. New York: Harper Perennial.
Congdon, W. J., Kling, J. R., & Mullainathan, S. (2011). Policy and choice: Public finance through the lens of behavioral economics. Brookings Institution Press
Kahneman, D. (2013) Thinking, Fast and Slow. New York: Farrar, Strausand.
Mullainathan, S., Eldar, S. (2013) Scarcity: Why Having Too Little Means so Much. New York: Times Books, Henry Holt and Company.
Prerequisite: Economics for Public Policy
Summary: The course aims to familiarize students with recent advances in psychology and economics and teach them to apply behavioral insights to design better solutions to societal challenges. It focuses on a rigorous application of experimental methodology in various social contexts and shows how the resulting findings can be used to advance policy in such areas as health, education, energy, etc. Behavioral economics deviates from the standard assumption of the economic theory that individuals are rational and self-seeking. Key findings in the field identify ways in which economic agents can systematically behave irrationally or prosocially. These behavioral insights enable us to design choice architecture, which nudges individuals to make better decisions and enhance their well-being. At the same time, public policy instruments can be used to transform social preferences to foster higher cooperation, long-term orientation and sustainable economic practices in a society. This course prepares students to understand cutting edge research in the field of behavioral sciences, apply these insights to improve social policy and communicate their ideas in a succinct and compelling way to government agencies, non-profit organizations, and a wider audience.
Course Objectives:
Course Outcomes:
CO1: Design behavioral policy interventions and devise empirical strategies for testing them. CO2: Critically discuss nudging approaches to policy making, including ethical issues involved.
CO3: Evaluate the scope and directions for policy interventions aimed at transforming social preferences. CO4: Summarize the current status of the behavior-proofing of the policies in India and across the world.
CO5: Learn to apply the principles of game theory and interpret incentives of economic agents in various situations of social cooperation.
Skills:
-Program outcome PO – Course Outcomes CO Mapping
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
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CO1 |
X |
– |
– |
– |
– |
– |
– |
– |
CO2 |
– |
– |
– |
X |
– |
– |
– |
– |
CO3 |
X |
– |
– |
– |
– |
– |
– |
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CO4 |
X |
– |
– |
– |
– |
– |
– |
– |
CO5 |
X |
– |
– |
– |
– |
– |
– |
– |
Program Specific Outcomes PSO – Course Objectives – Mapping
PSO1 |
PSO2 |
PSO3 |
PSO4 |
PSO5 |
|
CO1 |
X |
– |
– |
– |
– |
CO2 |
– |
– |
– |
X |
– |
CO3 |
– |
– |
X |
– |
– |
CO4 |
– |
X |
– |
– |
– |
CO5 |
– |
X |
– |
– |
– |
Assessment |
Internal |
External |
Midterm Exam |
30 |
|
*Continuous Assessment (CA) |
30 |
|
End Semester |
40 |
*CA – Can be Quizzes, Assignment, Projects, and Reports, and Seminar
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