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| Course Description |
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| Course Name |
: |
Econometrics-1 |
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| Course Code |
: |
TE-547 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Prof.Dr. HAYDAR ŞENGÜL
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| Learning Outcomes of the Course |
: |
1. Able to define variables and modelling a fact.
2. Able to Calculate economical paramaters that are helping to make a decision (elasticity and marginal trends)
3. Able to examine economy politics with the help of the econometric methods.
4. Able to predict future values of economical variables with the help of the simple econometric methods.
5. Able to interpret, follow, evaluate international publications in the agircultural economics field.
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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 |
: |
Gaining modelling capability of an economic problems with the help economic theory and mathematics, estimating the parameters of the model and testing, hypothesis testing with the help of econometrics, analyzing the economic policies by the help of econometrics, developing ability of using economic variables for forecasting |
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| Course Contents |
: |
Description and context of econometrics;econometric research method; determining model of econometric problem, model estimation, testing coefficients, evaluating predictive power of the model, desired properties of an econometric model; linear correlation; basic linear regression model; Ordinary Least Squares (OLS) method, statistical testing for significance of estimates, multiple regression model, other extensions of linear regression model (dummy variables, estimating non-linear relations); deviations from classical regression model (multicollinearity, heteroscedasticity, autocorrelation); simultaneous equations models |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Class |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Definition and context of econometrics; econometric research method; determining econometric model of the problem |
Koutsoyiannis (1989) p. 3-30
Gujarati (1999) p. 1-12
|
Lecture |
|
2 |
Desired properties of an econometric model |
Koutsoyiannis (1989) p. 28-29 |
Lecture |
|
3 |
Estimation of the model, testing coefficients of the model and assessing predictive poer of the model |
Koutsoyiannis (1989) p. 103-142 |
Lecture |
|
4 |
Linear Correlation and Basic Linear Regression model |
Course notes and related sections of the suggested resources |
Lecture |
|
5 |
Ordinary Least Square (OLS) Model |
Course notes and related sections of the suggested resources |
Lecture |
|
6 |
Statistical testing of significance of the estimates |
Course notes and related sections of the suggested resources |
Lectue |
|
7 |
Multiple regression model |
Course notes and related sections of the suggested resources |
Lecture |
|
8 |
Estimating non-linear economic relations |
Course notes and related sections of the suggested resources |
Lecture |
|
9 |
MIDTERM |
Course notes and related sections of the suggested resources |
Written exam |
|
10 |
Models with dummy variables |
Course notes and related sections of the suggested resources |
Lecture |
|
11 |
Multicollinearity, heteroscedasticity |
Course notes and related sections of the suggested resources |
Lecture |
|
12 |
Autocorrelation |
Course notes and related sections of the suggested resources |
Lecture |
|
13 |
Simultaneous Equations Models |
Course notes and related sections of the suggested resources |
Lecture |
|
14 |
Simultaneous Equations Models (continued) |
Course notes and related sections of the suggested resources |
Lecture |
|
15 |
General overview |
Course notes and related sections of the suggested resources |
Lecture |
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16/17 |
FINAL EXAM |
Course notes and related sections of the suggested resources |
Written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Kennedy P. (2006) Ekonometri Kılavuzu (çev. M. Sarımeşeli, Ş. Açıkgöz, 5. baskıdan). Gazi Kitabevi. Ankara
Lecture notes and resources that have been prepared and updated
Gujarati D. N.,(1999).Temel Ekonometri (çev. Ü.Şenesen ve G.G. Şenesen) Literatür yayıncılık, İstanbul
Koutsoyiannis A., (1989) Ekonometri Kuramı. (çev. Ü.Şenesen) Verso Yayıncılık, Ankara.
Griffiths W. E., Hill R. C., Judge G.G. (1993) Learning and Practicing Econometrics. John Wiley & Sons Inc.
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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 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
50 |
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Homeworks/Projects/Others |
1 |
50 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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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 |
Able to further develop and deepen knowledge acquired based on the undergradute level proficiencies in the fields of farm management and agricultural policy |
3 |
|
2 |
Able to comprehend interactions among related disciplines and field of agricultural economics |
3 |
|
3 |
Able to use theoretical and practical knowledge of agricultural economics in their specialization area |
3 |
|
4 |
Able to prepare reports on developments in national economy and agricultural sector; able to critically evaluate historical and actual developments in agriculture and economy; able to observe and interpret economics related publications |
3 |
|
5 |
Able to use software widely used in agricultural economics |
1 |
|
6 |
Able to combine data of actual developments with his knowledge, data and findings obtained in various disciplines and interpret them while supporting them with qualitative and quantitative data and also forming new knowledge through synthesis |
4 |
|
7 |
Ability to take the lead in multidisciplinary teams and work in teams |
2 |
|
8 |
Able to critically evaluate specialized knowledge and abilities acquired in agricultural economics and direct his/her own learning process |
4 |
|
9 |
Able to transfer research results using verbal, written and visual tools |
3 |
|
10 |
Able to develop analytical approaches in order to solve complicated problems that cannot be forecast beforehand in applications of agricultural economics and policy; able to design research process; able to produce solutions by taking on responsibility and to evaluate and justify solutions |
4 |
|
11 |
Constantly adapt himself to new scientific developments |
4 |
|
12 |
Able to use acquired and digested agricultural economics knowledge in multidisciplinary studies, able to explain them, to transfer them to others, able to examine conclusions critically |
3 |
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13 |
Able to collect data according to scientific methods in order to solve economic problems, able to supervise and interprete data collected while taking into consideration social, scientific and ethical values |
4 |
| * 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 |
4 |
56 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
1 |
12 |
12 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
|
Final Exam |
1 |
18 |
18 |
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Total Workload: | 138 |
| Total Workload / 25 (h): | 5.52 |
| ECTS Credit: | 6 |
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