Institute of Social Sciences · Islamic Economics and Finance (English) · Master
Course Objective
The aim of this course is to familiarize the students with the contemporary methods of cross-sectional and panel data analysis, starting with the pooled OLS model and ending with dynamic panel data models. The course is of applied nature: The material is presented, whenever possible, in a non-technical way, with examples of empirical studies published in leading international economics and finance journals discussed in class. Lectures are mainly computer-based, which ensures that the students get hands-on experience of analyzing real world panel data using Stata software. The topics covered include cross-sectional models, static models such as pooled OLS model, fixed- and random effects models, as well as dynamic panel data models as difference and system GMM.
Course Content
The topics covered include cross-sectional models, static panel models such as pooled OLS model, fixed- and random effects models, as well as dynamic panel data models as difference and system GMM.
Course Learning Outcomes
- Students should have a firm grasp of the key methods of cross-sectional and panel data analysis.
- Students should be able to effectively apply these methods in own empirical research.
- Students should be familiar with and be able to use key capabilities of the statistical package “Stata”, including its programming options (the so-called do-files).
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 15 | 3 | 45 |
| Out of Class Study Period | 15 | 4 | 60 |
| Midterm | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Assignment | 1 | 20 | 20 |
| Practice | 5 | 3 | 15 |
| Final | 1 | 30 | 30 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction to econometrics | P1 |
| 2 | Overview of regression models | P2 |
| 3 | Introduction to cross-sectional analysis | P3 |
| 4 | Topics in cross-sectional analysis | P4 |
| 5 | Application of cross-sectional data analysis using STATA | P5 |
| 6 | Essentials of panel data analysis in STATA | P6 |
| 7 | Pooled OLS model | P7 |
| 8 | Midterm Exam | Midterm Exam |
| 9 | Fixed effects model | P9 |
| 10 | Random effects model | P10 |
| 11 | Dynamic panel data models | P11 |
| 12 | Difference GMM | P12 |
| 13 | System GMM | P13 |
| 14 | Further topics in the analysis of linear panel data models | P14 |
| 15 | Presentation of projects | S1 |
| 16 | Final Exam | Final Exam |