| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO6005 | Econometrics I | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi DİLA ASFUROĞLU |
| Course Objectives: | The aim of this course is to teach the microeconometric methods used in applied economic research. The course aims to estimate causal relationships using cross-section and panel data. For this reason, econometric studies using experimental and quasi-experimental methods will be analyzed in detail. |
|
The students who have succeeded in this course; 1. Learn how to measure causal relationships using the linear regression model learned in the introductory econometrics course, 2. Conduct regression analysis using the R programming language, 3. Understand how pooled cross-sectional data and panel data help us overcome some of the limitations of the classical linear model, 4. Will understand the potential outcomes framework, as well as selection on observables and unobservables, 5. Decide which data type and method is necessary to study a given economic problem. |
| The course is based on "learning by doing" approach. For this reason, students are expected to replicate an article published in an academic journal or a working paper that has not yet been published, with the approval of the course instructor, using the original data and apply the methods they are learning. To reinforce this learning process the final exam will take the following form: students will form groups of 2 students in the first 4 weeks and select the paper to be replicated. The grading of the final exam will rely on this project that students have been working on throughout the semester. Students are required to, first, make an oral presentation (10 minutes maximum) where students explain the process of replication and comparing their results with the original ones. Then, they have to create a short paper (10 pages maximum) about the replication project. |
| Week | Subject | Related Preparation | |
| 1) | Introduction | MHE (Ch. 1) & W (Ch. 1) | |
| 2) | Introduction to R | ||
| 3) | Experiments and randomization | MHE (Ch. 2) | |
| 4) | Adjustment: regression vs propensity score | MHE (Ch. 3) | |
| 5) | Linear regression and causality | MHE (Ch. 3) & W (Ch. 2,3) | |
| 6) | Difference in Differences: cross-sectional data | MHE (Ch. 5) & W (Ch. 13) | |
| 7) | Difference in Differences: cross-sectional data | MHE (Ch. 5) & W (Ch. 13) | |
| 8) | Midterm Exam | ||
| 9) | Difference in Differences: panel data | MHE (Ch. 5) & W (Ch. 14) | |
| 10) | Difference in Differences: panel data | MHE (Ch. 5) & W (Ch. 14) | |
| 11) | Instrumental variables | MHE (Ch. 4) & W (Ch. 15) | |
| 12) | Instrumental variables | MHE (Ch. 4) & W (Ch. 15) | |
| 13) | Bootsrap and simulation | ||
| 14) | Project presentations | ||
| Course Notes: | Angrist, J. D., and J. S. Pischke (2009). Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press. (MHE) Wooldridge, J (2020). Introductory Econometrics: A Modern Approach, 7th ed., South-Western College Publishing. (W) |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 1 | % 10 |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | 1 | % 30 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 60 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 13 | 3 | 39 |
| Laboratory | 0 | 0 | 0 |
| Application | 13 | 3 | 39 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 4 | 56 |
| Presentations / Seminar | 1 | 3 | 3 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 21 | 21 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 36 | 36 |
| Total Workload | 194 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |