| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Econometrıcs | SAU 178 | 0 | 1 + 0 | 2 | 2 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Prof.Dr. AZİZ KUTLAR |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| 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, Question-Answer, Brain Storming, Discussion, | |
| 2 | he/she describe the concepts of the econometric methodology. | Lecture, Question-Answer, Brain Storming, | |
| 3 | He/she makes a regression analysis by the method of least squares method. | Lecture, Question-Answer, Discussion, | |
| 4 | She/he knows regression analysis that single equation and examines regression hypotesis estimates. | Lecture, Question-Answer, Brain Storming, | |
| 5 | She/he performs estimates with synonym equation systems | Lecture, Question-Answer, Discussion, | |
| 6 | She/he uses all econometrics software in real problems (SPSS; EViews,...) | Lecture, Question-Answer, | |
| 7 | She/he defines stages of economteric modelling | Lecture, Question-Answer, Brain Storming, Discussion, | |
| 8 | She/he make tests econometric assumptions | Lecture, Question-Answer, Discussion, | |
| 9 | She/he make tests related with hypotesis | Lecture, Question-Answer, | |
| 10 | She/he uses quantitative tecnics to solve econometric problems | Lecture, Question-Answer, Brain Storming, | |
| 11 | She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, | Lecture, Question-Answer, Brain Storming, | |
| 12 | She/he reviews outcomes of the software programs | Lecture, Question-Answer, Discussion, | |
| 13 | She/he makes test related with parameters which estimated with linear programs | Lecture, Question-Answer, Discussion, | |
| 14 | She/he makes significance test for models | Lecture, Question-Answer, Discussion, | |
| 15 | She/he make estimation of autoregressive models and interpretations | Lecture, Question-Answer, Discussion, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Explanation of econometric concepts. | Study metarials should be reviewed before the course |
| 2 | Expalanation of population regression function(prf) and sample regression function(srf) | Study metarials should be reviewed before the course |
| 3 | Estimation of basic regression equation by Ordinary Least Squares method. | Study metarials should be reviewed before the course |
| 4 | Introduction of SPSS packaged software. | Study metarials should be reviewed before the course |
| 5 | Estimation of regression equation by SPSS packaged software | Study metarials should be reviewed before the course |
| 6 | Testing of estimators acquired from regression equation by hypothesis tests | Study metarials should be reviewed before the course |
| 7 | Application of estimators in SPSS programme. | Study metarials should be reviewed before the course |
| 8 | Estimation of multivariate regression equation | Study metarials should be reviewed before the course |
| 9 | Examining of the assumptions related to multivariate regression equation | Study metarials should be reviewed before the course |
| 10 | Testing of multivariate regression equation in several significance levels. | Study metarials should be reviewed before the course |
| 11 | Economic interpretation of estimators acquired from regression equation | Study metarials should be reviewed before the course |
| 12 | Explanation of prediction problem and the kinds of prediction | Study metarials should be reviewed before the course |
| 13 | Transformation of nonlinear equations into linear equations by using logarithmic methods. | Study metarials should be reviewed before the course |
| 14 | Estimation of multivariate regression equation via matrix techniques. | Study metarials should be reviewed before the course |
| Kaynaklar | |
|---|---|
| Ders Notu | KUTLAR, A. Ekonometriye Giriş , Nobel Akademik Yayıncılık |
| Ders Kaynakları | |
| # | Ders Öğrenme Çıktılarının Program Çıktılarına Katkısı |
|---|---|
| 1 | Hs/she knows that economic theory with quantitative approach |
| 2 | he/she describe the concepts of the econometric methodology. |
| 3 | He/she makes a regression analysis by the method of least squares method. |
| 4 | She/he knows regression analysis that single equation and examines regression hypotesis estimates. |
| 5 | She/he performs estimates with synonym equation systems |
| 6 | She/he uses all econometrics software in real problems (SPSS; EViews,...) |
| 7 | She/he defines stages of economteric modelling |
| 8 | She/he make tests econometric assumptions |
| 9 | She/he make tests related with hypotesis |
| 10 | She/he uses quantitative tecnics to solve econometric problems |
| 11 | She/he detects the presence of heteroscedasticity, multicollinearity and autocorrelation problems, |
| 12 | She/he reviews outcomes of the software programs |
| 13 | She/he makes test related with parameters which estimated with linear programs |
| 14 | She/he makes significance test for models |
| 15 | She/he make estimation of autoregressive models and interpretations |
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 60 |
| 1. Kısa Sınav | 10 |
| 2. Kısa Sınav | 10 |
| 1. Ödev | 20 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Mid-terms | 1 | 10 | 10 |
| Quiz | 2 | 5 | 10 |
| Assignment | 1 | 10 | 10 |
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Final examination | 1 | 15 | 15 |
| Toplam İş Yükü | 125 | ||
| Toplam İş Yükü / 25 (Saat) | 5 | ||
| dersAKTSKredisi | 2 | ||