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| Course Description |
|
| Course Name |
: |
Econometrics I |
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| Course Code |
: |
EM 401 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
4 |
|
| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
5 |
|
| Name of Lecturer(s) |
: |
Asst.Prof.Dr. KENAN LOPÇU
Prof.Dr. HASAN ALTAN ÇABUK
Prof.Dr. SEDA ŞENGÜL
Asst.Prof.Dr. CEVAT BİLGİN
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|
| Learning Outcomes of the Course |
: |
Define econometrics.
Know stages of econometric research
Learn simple regression model and least squares method.
Know properties of estimators
Understand prediction test
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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 |
: |
Gain numerical results by analyzing topics of econometrics theory and econometrics cases. Testing econometrics theories and evaluating econometrics relations, flexibility, tendency and marginal values. |
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| Course Contents |
: |
Econometrics, econometrics history, some basic rules of mathematics and statistics, economic theories placed into mathematical frames, a simple classical linear regression model, multiple classical linear regression model, some deviations from the classical linear regression model |
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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 |
Subject of Econometrics, Econometric Research Major Stages, Objectives of Econometrics and Economic Models, Data Types for forecasting, Statistics |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
2 |
Two-Variable Regression Analysis, Population Regression Function, Importance of stochastic error term, Sample Regression Function |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
3 |
Ordinary Least Squares (OLS) method, OLS Specifications, Features sample regression line |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
4 |
Classical Linear Regression Model, Assumptions Related to OLS, OLS Estimates standard errors, OLS estimators |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
5 |
Determinasyon (Belirleyicilik) Katsayısı, Aralıklı Tahminler, Aralıklı Öngörü ve Hipotez Testleri |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
6 |
Solving Matrix Regression Model |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
7 |
Explanatory Variables Multiple Regression Models and the coefficient reviews |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
8 |
mid-term |
prepare to exam |
written exam |
|
9 |
Multiple Correlation, Intermittent Predictions Prediction Interval and Hypothesis Testing |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
10 |
Multiple regression main parameter individually, simultaneously significance tests |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
11 |
The need to add a new explanatory variable in the model test, Chow test -structural change |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
12 |
Increasing the sample size of the regression coefficients vary in test |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
13 |
Comments on the main functional regression models and coefficients, elasticities |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
14 |
Structural changes, dummy variables, dummy variables for the different uses of comments related to the coefficients |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
15 |
Deviations from the input data on the results of the basic assumptions |
Students will be prepared by studying relevant subjects from source books according to weekly program |
lecture |
|
16/17 |
final |
prepare to exam |
written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 1. D. Gujarati (Çeviren: Ümit Şenesen, Gülay Günlük Şenesen), Temel Ekonometri, Literatür Yayıncılık (1999)
2.Tümay Ertek, Ekonometriye Giriş, Beta Yayıncılık
3.Ercan Uygur,Ekonometri Yöntem ve Uygulama,Ankara 2001,İmaj Yayıncılık
4.Recep Tarı, Ekonometri,Kocaeli,2010,Umuttepe Yayınları
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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 |
100 |
|
Homeworks/Projects/Others |
0 |
0 |
|
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 |
Explain the importance of demand and supply in economy science and the well-running conditions of the market economy |
3 |
|
2 |
Define the role of pricing within the event advantage of the market economy. |
3 |
|
3 |
Define the role of the state in economy, money and financial policies, the central bank and the structure of the market. |
3 |
|
4 |
Perceive the costs and benefits arising from the global economy |
3 |
|
5 |
Produce numerical and policy options when confronted with problems. |
5 |
|
6 |
Use quantitative and qualitative techniques of model building, decoding and interpretation. |
5 |
|
7 |
Use the theory of economics in the analysis of economic events. |
5 |
|
8 |
Use computer programs, do synthesis and present prepared data efficiently. |
4 |
|
9 |
Apply the methods of economic analysis. |
4 |
|
10 |
Analyze at conceptual level and acquires ability in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems |
5 |
|
11 |
Take responsibility individually and / or in a team, take leadership and work effectively. |
2 |
|
12 |
Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself.. |
2 |
|
13 |
Use of different sources about an unfamiliar field within academic principles, synthesize gained data and presents effectively. |
3 |
|
14 |
Use Turkish and at least one foreign language in accordance with the requirements of academic and work life. |
4 |
|
15 |
Understand and interpret related people´s feelings, thoughts, and behaviours correctly; expresse him-/herself accurately in written and oral language. |
3 |
|
16 |
Question traditional attitudes, applications and methods, develop and apply new methods when needed. |
4 |
|
17 |
Recognize and apply social, scientific and professional ethical values. |
2 |
| * 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 |
5 |
70 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
0 |
0 |
0 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
6 |
6 |
|
Final Exam |
1 |
10 |
10 |
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Total Workload: | 128 |
| Total Workload / 25 (h): | 5.12 |
| ECTS Credit: | 5 |
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