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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (MASTER) (WITH THESIS) | |
| Code | IEM753 |
| Name | Behavioral Econometrics |
| Term | 2026-2027 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Çiğdem KOŞAR TAŞ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to integrate behavioral economics theories with econometric modeling, enable quantitative analysis of individual decision-making processes, establish econometric models from survey and experimental data, and develop skills for producing academic-level research and publications.
Course Content
This course will cover the fundamentals of behavioral economics, decision-making theories and cognitive biases, scale development and survey design, experimental and observational data analysis, discrete choice models, structural equation modeling (SEM), and behavioral policy analysis (nudge theory).
Course Precondition
Basic knowledge of econometrics and statistics.
Resources
Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Harlow: Cengage Learning. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven, CT: Yale University Press.
Notes
Camerer, C. F. (2003). Behavioral Game Theory: Experiments in Strategic Interaction. Princeton, NJ: Princeton University Press. Greene, W. H. (2018). Econometric Analysis (8th ed.). New York: Pearson Education. Train, K. E. (2009). Discrete Choice Methods with Simulation (2nd ed.). Cambridge: Cambridge University Press.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Develops scales for measuring behavioral variables |
| LO02 | Explains behavioral economics theories (TPB, TAM, Prospect Theory, etc.) |
| LO03 | Manages the process of collecting survey data and creating data sets |
| LO04 | Constructs and interprets latent variable models (CFA, SEM) |
| LO05 | Selects an appropriate econometric model based on behavioral data |
| LO06 | Reports of analysis results in academic format |
| LO07 | Develops policy recommendations (from an OECD, SDG perspective) |
| LO08 | Gains the ability to produce research and publications at an academic level |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 5 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 5 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 4 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 3 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course Introduction: Overview of Behavioral Econometrics, interdisciplinary nature | Reviewing the basic concepts of behavioral economics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Rationality, bounded rationality, heuristics | Key readings from the behavioral economics literature | Öğretim Yöntemleri: Anlatım, Örnek Olay |
| 3 | Prospect Theory and decision-making under risk | Readings on expected utility theory and alternative approaches | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Behavioral models: TPB, TAM, UTAUT | Review of relevant theoretical articles. | Öğretim Yöntemleri: Tartışma, Örnek Olay |
| 5 | Scale development and survey design | Review of sample survey forms | Öğretim Yöntemleri: Alıştırma ve Uygulama, Grup Çalışması |
| 6 | Data types: survey, experimental and observational data | Data types and measurement levels are repeated | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Modeling of attitude, perception, and trust variables | Readings on behavioral variables | Öğretim Yöntemleri: Tartışma, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | General preparation for the midterm exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Confirmatory Factor Analysis (CFA): Basic Concepts and Measurement Model; The difference between exploratory and confirmatory factor analysis What is a measurement model? The distinction between latent and observed variables | Acquiring basic knowledge of factor analysis | Öğretim Yöntemleri: Anlatım |
| 10 | Model Testing and Goodness of Fit; Goodness of fit indices (CFI, TLI, RMSEA, SRMR), Factor loadings and significance, Reliability and validity (CR, AVE) | Examination of related issues | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Structural Equation Modeling (SEM): Model Building; What is SEM? (measurement model + structural model), Path diagrams, Hypothesis integration into the model. | Examining the basic concepts of SEM | Öğretim Yöntemleri: Anlatım |
| 12 | Structural Equation Modeling (SEM): Estimation and Analysis; Parameter estimation (ML, PLS approach), Direct, indirect and aggregate effects, Mediation and moderation effects. | Doing a review about SEM | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Structural Equation Modeling (SEM): Model Evaluation and Reporting; Overall assessment of model fit, Comparison of alternative models, Academic reporting (article format) | Repeating the previous two weeks | Öğretim Yöntemleri: Gösterip Yaptırma, Alıştırma ve Uygulama |
| 14 | Behavioral policy and nudge theory, project presentations. | Nudge literature reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap, Proje Temelli Öğrenme |
| 15 | Project consulting / general review | Project preparation | Öğretim Yöntemleri: Proje Temelli Öğrenme , Tartışma, Soru-Cevap |
| 16 | Term Exams | General preparation for the final exam. | Ölçme Yöntemleri: Proje / Tasarım |
| 17 | Term Exams | General preparation for the final exam. | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||