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Course title: Econometrics
Course code: KTEE309
Faculty: International Economics
Department: Research Methodology and Economic Forecasting
Credit hours: 3
Prerequite(s): Not required
- 1. COURSE OBJECTIVES
This course aims to equip students with knowledge and skills in quantitative research to analyze economic and social issues. After completing this course, students know how to conduct quantitative research such as building a linear regression model, finding data, estimating the model, detecting model problems, testing statistical hypotheses, interpreting results, making predictions based on regression results, and make policy recommendations based on regression results. This course also equips students with skills in using statistical software for descriptive statistical analysis as well as estimation of regression models.
- 2. COURSE CONTENTS AND SCHEDULE
|
No. |
Contents |
Time Allocation |
Contribution to CLO |
|||
|
Hour(s) on the class |
Essays, exercise, Assignments (3) |
Self-study with teacher’s tutorials (4) |
||||
|
Lecture (1) |
Practice, Seminar (2) |
|||||
|
1 |
Introduction to Econometrics |
3 |
0 |
0 |
7 |
1 |
|
2 |
Chapter 1: Linear Regression |
3 |
0 |
0 |
7 |
1 |
|
3 |
Chapter 2: Simple Linear Regression Model |
3 |
0 |
0 |
7 |
1 |
|
4 |
Chapter 2: Simple Linear Regression Model (cont.) |
3 |
0 |
0 |
7 |
1,2,3,4 |
|
5 |
Chapter 2: Simple Linear Regression Model (cont.) |
3 |
0 |
5.5 |
2.5 |
1,2,3,4 |
|
6 |
Chapter 3: Multiple Linear Regression Model |
3 |
0 |
0 |
7 |
1,3 |
|
7 |
Chapter 3: Multiple Linear Regression Model (cont.) |
3 |
0 |
0 |
7 |
1,2,3,4,5,6 |
|
8 |
Chapter 3: Multiple Linear Regression Model (cont.) |
3 |
0 |
5.5 |
2.5 |
1,2,3,4,5,6 |
|
9 |
Chapter 4: Statistical Inference |
3 |
0 |
0 |
7 |
1,2,3,4,5,6 |
|
10 |
Chapter 4: Statistical Inference (cont.) |
3 |
0 |
0 |
7 |
1,2,3,4,5,6 |
|
11 |
Chapter 4: Statistical Inference (cont.) |
3 |
0 |
0 |
7 |
1,2,3,4,5,6 |
|
12 |
Chapter 5: Multi regression analysis with qualitative information: binary (or dummy) variables |
3 |
0 |
5.5 |
2.5 |
1,2,3,4,5,6 |
|
13 |
Chapter 5: Multi regression analysis with qualitative information: binary (or dummy) variables (cont.) |
3 |
0 |
0 |
2.5 |
1,2,3,4,5,6 |
|
14 |
Chapter 6: Diagnosing Model Problems |
3 |
0 |
0 |
2.5 |
1,2,3,4,5,6 |
|
15 |
Chapter 6: Diagnosing Model Problems (cont.) |
3 |
0 |
6 |
7 |
1,2,3,4,5,6 |
|
Total (hour) |
45 |
0 |
22.5 |
82.5 |
|
|
- COURSE ASSESSMENT
- Score ladder: 10
- Type of assessment
|
Form |
Content |
Criteria |
CLO |
Proportion |
|
|
Formative |
Attendance |
- Attend all lectures - Answer to questions and practice exercises, and contribute to the lectures |
The number of attendances and participation in lesson
|
1,2,3,4,5,6 |
10% |
|
Report |
- Form: Essay from 10 to 15 pages - Content: Each group has to write a report based on the data given by lecturer or the students have to collect data
|
- The data relates to economic topics and has clear source - Apply the knowledge the students have studied in the course - Attractive subject - Language is clear, quoted, using valid references |
1,2,3,4,5,6 |
30% |
|
|
Summative |
Final test with multiple choice and writing questions for 60 minutes |
What have been studied during the course |
- Answer correctly all the multiple choice questions. - Answer correctly and completely all the writing questions. |
1,2,3,4,5,6 |
60% |
|
Total |
100% |
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