| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Econometrics I | EKO 203 | 3 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Prof.Dr. HİLAL YILDIZ |
| Dersi Verenler | Prof.Dr. HİLAL YILDIZ, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Alanına Uygun Temel Öğretim |
| Dersin Amacı | It is aimed to explain the economic theories via advanced quantitative techniques. |
| Dersin İçeriği | Quantitative methods are used to make estimation and forecasting in analyzes of the economic theory and studies. (1) Students learn basic statistical techniques for economic analyzes.(2) They gain ability to understand the studies of economists? more easily.(3) They gain experience of stating econometrically the research subjects. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Hs/she knows that economic theory with quantitative approach | Lecture, | Testing, |
| 2 | he/she describe the concepts of the econometric methodology. | Lecture, | Testing, Oral Exam, |
| 3 | He/she makes a regression analysis by the method of least squares method. | Lecture, Question-Answer, | Testing, Oral Exam, Homework, |
| 4 | She/he knows regression analysis that single equation and examines regression hypotesis estimates. | Lecture, Drilland Practice, | Testing, Homework, |
| 5 | She/he performs estimates with synonym equation systems | Lecture, | Testing, Homework, |
| 6 | She/he uses all econometrics software in real problems (SPSS; EViews,...) | Lecture, Question-Answer, | Testing, Homework, |
| 7 | She/he defines stages of economteric modelling | Lecture, Question-Answer, | Testing, Oral Exam, Homework, |
| 8 | She/he make tests econometric assumptions | Lecture, Drilland Practice, | Testing, Homework, |
| 9 | She/he make tests related with hypotesis | Lecture, | Testing, Homework, |
| 10 | She/he uses quantitative tecnics to solve econometric problems | Lecture, Question-Answer, | Testing, Homework, |
| 11 | She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, | Lecture, | Testing, |
| 12 | She/he reviews outcomes of the software programs | Lecture, | Testing, Oral Exam, |
| 13 | She/he makes test related with parameters which estimated with linear programs | Lecture, Question-Answer, | Testing, Oral Exam, Homework, |
| 14 | She/he makes significance test for models | Lecture, Drilland Practice, | Testing, Homework, |
| 15 | She/he make estimation of autoregressive models and interpretations | Lecture, Drilland Practice, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Explanation of econometric concepts. | |
| 2 | Expalanation of population regression function(prf) and sample regression function(srf) | |
| 3 | Estimation of basic regression equation by Ordinary Least Squares method. | |
| 4 | Introduction of SPSS packaged software. | |
| 5 | Estimation of regression equation by SPSS packaged software | |
| 6 | Testing of estimators acquired from regression equation by hypothesis tests | |
| 7 | Application of estimators in SPSS programme. | |
| 8 | Estimation of multivariate regression equation | |
| 9 | Examining of the assumptions related to multivariate regression equation | |
| 10 | Testing of multivariate regression equation in several significance levels. | |
| 11 | Economic interpretation of estimators acquired from regression equation | |
| 12 | Explanation of prediction problem and the kinds of prediction | |
| 13 | Transformation of nonlinear equations into linear equations by using logarithmic methods. | |
| 14 | Estimation of multivariate regression equation via matrix techniques. |
| Kaynaklar | |
|---|---|
| Ders Notu | Gujarati, D. Basic Econometrics, McGraw-Hill Company, 2003 |
| Ders Kaynakları | Wooldridge, J. Introductory Econometrics, South-Western Cengage learning, 2009 Akkaya, Şahin ve Vedat Pazarlıoğlu. Ekonometri I, 2000 Tarı, Recep. Ekonometri, Umuttepe Yayınları, 2010 |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | X | ||||||
| 2 | X | ||||||
| 3 | X | ||||||
| 4 | X | ||||||
| 5 | X | ||||||
| 6 | X | ||||||
| 7 | X | ||||||
| 8 | X | ||||||
| 9 | X | ||||||
| 10 | X | ||||||
| 11 | X | ||||||
| 12 | X | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 70 |
| 1. Kısa Sınav | 10 |
| 1. Ödev | 10 |
| 2. Kısa Sınav | 10 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|