- Schedule of Classes - May 12, 2021 7:14PM EDT
- Course Catalog - May 12, 2021 7:15PM EDT
Course information provided by the Courses of Study 2020-2021.
Standard economic theory assumes that individuals are rational decision-makers; however, that is often not the case in the real world. Behavioral economics uses findings from psychology to determine ways in which individuals are systematically irrational to improve upon existing models. The first part of this course reviews these theories, while the second part of the course focuses on how these findings have been used to design better education, health, and tax policies as well as many others.
When Offered Fall, Spring.
Permission Note Enrollment limited to: graduate students.
Prerequisites/Corequisites Prerequisite: either PAM 3100, CRP 5450, or a course in basic econometrics and either PAM 2000 or ECON 3030 or permission of instructor.
- Apply key theories from the field of behavioral economics.
- Apply economic insights from lab and field experiments to policy design.
- Interpret empirical results from research papers as they relate to policy.
- Identify assumptions in standard economic models that may not hold in real world settings and interpret empirical tests of their validity.
- Identify areas of policy where taking behavioral insights into account could improve public policy in terms of implementation, efficiency, or redistribution.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instruction Mode: Online
If this class fills a waitlist will be available via student center. This is a cross-listed class, and student center will create three separate waitlists. The waitlist position you will see may not accurately reflect your number on the combined list. PAM and HCP students will receive priority off the waitlist. Prerequisite: Either PAM 3100, CRP 5450, or a course in basic econometrics AND either PAM 2000, CRP5122 or ECON 3030. To substitute a prerequisite, e-mail the instructor: btk24.
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