ECON 338 Behavioral EconomicsMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code ECON 338
Course Title in English Behavioral Economics
Course Title in Turkish Behavioral Economics
Language of Instruction EN
Type of Course Seçiniz
Level of Course Seçiniz
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 135 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites ECON 202 - Microeconomic Theory II
ECON 102 - Macroeconomics
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions None
Overall Educational Objective
Course Description

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8 9 10 11
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. H
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. H
3) Displays a sound comprehension of microeconomic and macroeconomic theory. S
4) Applies economic concepts to solve complex problems and enhance decision-making capability. N
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. N
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. N
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. H
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. S
10) Exhibits individual and professional ethical behavior and social responsibility. S
11) Displays learning skills necessary for further study with a high degree of autonomy H
Prepared by and Date DENİZ NEBİOĞLU ,
Course Coordinator
Semester Spring
Name of Instructor Asst. Prof. Dr. DENİZ NEBİOĞLU

Course Contents

Week Subject
1) Rational man paradigm and its failures
2) Reference dependence and loss-aversion
3) Decision making under risk and uncertainty
4) Fairness and social preferences
5) Intertemporal choice
6) Choice architecture and nudging
7) Applications in labor economics
8) Applications in macroeconomics
9) Applications in finance
10) Neuroeconomics
11) Experimental economics methodology
12) Case Studies
13) Field trip to BELİS (Bilgi Economics Lab of İstanbul)
14) Case Studies
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsRequired Readings 1. Thinking, fast and slow, Kahneman, Daniel 2. Nudge: Improving decisions about health, wealth, and happiness Thaler, Richard H.,Sunstein, Cass R. Supplementary Readings 1. Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism. Akerlof, George A. and Shiller, Robert J. 2. The Black Swan: The Impact of the Highly Improbable, Taleb, Massim N. 3. Predictably Irrational: The Hidden Forces That Shape Our Decisions, Ariely, Dan 4. The Upside of Rationality, Ariely, Dan. The remaining readings will either be posted on line or handed out in class.
Teaching MethodsActive learning
Homework and ProjectsProject/Case study
Laboratory WorkA field trip to Bilgi Lab of İstanbul (BELİS) to participate to an experiment.
Computer Use
Other Activities
Assessment Methods
Assessment Tools Count Weight
Project 1 % 25
Midterm(s) 1 % 30
Final Examination 1 % 45
TOTAL % 100
Course Administration nebioglud@mef.edu.tr

Course Instructor: Dr. Deniz Nebioğlu Kasapoğlu, email: nebioglud@mef.edu.tr Lecture time and place: Wednesday 14:00-16:50 Attendance/participation: Students are expected to prepare for the lecture via assigned videos and reading materials. Students are responsible to follow the announcements, course materials available on Blackboard system. Formal use of e-mails: Students are expected to use their @mef accounts for email traffic. The instructor is only responsible for the information sent/received through Blackboard system and emails using @mef account. The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs. Grading and evaluation: Evaluation will be based on the student learning outcomes. It is strongly recommended to complete all the work in a timely fashion. The deadline for submitting the book review will be announced in the class. Late submissions will be graded in a reduced scale. Missing midterm exam: Faculty regulations. Missing final exam: Faculty regulations. Academic Dishonesty and Plagiarism: YOK Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 1 84
Homework Assignments 1 10 2 12
Midterm(s) 1 15 2 17
Final Examination 1 20 2 22
Total Workload 135
Total Workload/25 5.4
ECTS 5