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| Course Description |
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| Course Name |
: |
Econometrics |
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| Course Code |
: |
EM 307 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
3 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
4 |
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| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. MEHMET ÖZMEN
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| Learning Outcomes of the Course |
: |
Analyses statistical inferences related to these regressions
Analysing regressions with dummy variables
Explainng the assumptions of the classiccal linear regression models
Explaning the violations of these assumptions and interpret the results of the violatins
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| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Providing theoretical equipment in analyzing economics relations. For this aim, understanding econometric definitions and concepts,
doing statistical analysis and explaiing these.
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| Course Contents |
: |
Two-variable regresssiıon and LS estimation method, classical linear regression model assumptions,
estimation and statistical inference in regression models, regressions with dummy variables, violations of classical models assumptions
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
The content of the concept of regression |
reading the textbook |
lecturing |
|
2 |
Basic information of the two-variable regression |
reading the textbook |
lecturing |
|
3 |
Estimation of two-variable regression: LS method |
reading the textbook |
lecturing |
|
4 |
Assumptions of classical linear regression models |
reading the textbook |
lecturing |
|
5 |
Two-variable regression; estimation of intervals and hypothesis testings |
reading the textbook |
lecturing |
|
6 |
Extensions of two-variable regression model |
reading the textbook |
lecturing |
|
7 |
Multivariable regression; problem of estimation |
reading the textbook |
lecturing |
|
8 |
Midterm Exam |
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|
|
9 |
Multivariable regression; statiscal inference |
reading the textbook |
lecturing |
|
10 |
Regressisons with dummy variables |
reading the textbook |
lecturing |
|
11 |
Multicollinearity |
reading the textbook |
lecturing |
|
12 |
Heteroskedasticty |
reading the textbook |
lecturing |
|
13 |
Autocorrelation |
reading the textbook |
lecturing |
|
14 |
Econometric modelling |
reading the textbook |
lecturing |
|
15 |
Review |
reading the textbook |
lecturing |
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16/17 |
Final Exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Basic Econometrics, D.N.Gujarati, D.C.Porter, Mcgraw Hill, Fifth Edition, 2009
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
75 |
|
Homeworks/Projects/Others |
2 |
25 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
uses modern communication tools, methods and processes, collects and interprets data from different sources using |
3 |
|
2 |
understands and explains the role of the public and private sector in the economy, the market economy and the function of the public sector |
0 |
|
3 |
uses the information of profesional field about basic computer knowledge and skills |
3 |
|
4 |
Collect quantitative and statistical data, makes analysis and interpretation |
5 |
|
5 |
understands and interprets corecctly the feelenings, thoughts and behaviors of other people, express Themselves in written and oral form. |
0 |
|
6 |
Aware of the social, scientific and ethical values ??and acts accordingly |
0 |
|
7 |
Questions the traditional approach and methods of application,and he to develops and implements new ways of working if he considers it is necesaary |
0 |
|
8 |
Individually and / or in a team, take responsibility, leadership, and effectively works |
0 |
|
9 |
In recognition of the need for lifelong learning and constantly renews itself keeps track of the latest developments. |
0 |
|
10 |
|
4 |
|
11 |
UseTurkish in academic life and work in accordance with the requirements of the uses of life. |
4 |
|
12 |
Use different resources in accordance with the academic rules, synthesize the information gathered, and present them effectively in an area which has not been studied |
4 |
|
13 |
Use Turkish and at least one foreign language in accordance with the prerequisities of academic and business context |
0 |
|
14 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
5 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
2 |
4 |
8 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
10 |
10 |
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Total Workload: | 112 |
| Total Workload / 25 (h): | 4.48 |
| ECTS Credit: | 4 |
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