Faculty of Business and Management Sciences · International Trade and Finance (English) · Undergraduate
Course Objective
In the course, in economics and econometrics; linear regression model, applications of simple and multiple regression techniques, data problems, model definition errors, parameter determination problem, nonlinear regression, simultaneous equation systems, limited dependence models, time series models, non-stationary series and autocorrelation, the use of panel data It will be described.
Course Content
In this course, linear regression model, to apply the simple and multiple regression methods, the problems with the data, spesification errors, the problems of parameter determination, non-linear regression, systems of simultaneous equations, the models with limited dependent variables, the models of time series, non stationary series and otocorelation, the use of panel data methods of with cross-country data will be covered.
Required Resources
Damodar N. Gujarati, Basic Econometrics, Literatür Publishing, 2003.
Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach, Cengage Learning, 2008.
Ahmet Kılıçbay, Applied Econometrics, Filiz Bookstore, Istanbul.
A. Colin Cameron and Pravin K. Trivedi, Microeconometrics: Methods and Applications, Cambridge University Press, 2005.
Recommended Resources
Selahattin Güriş and Ebru Çağlayan, Econometrics: Fundamental Concepts, Der Publishing.
Peter J. Kennedy, A Guide to Econometrics, MIT Press, 1998.
Course Learning Outcomes
- Using computer softwares in econometric analysis.
- Evaluating the assumptions of the economic theory quantitatively.
- Making estimations and predictions in advanced level.
- Testing the accuracy and precision of the hypothesis tests, suggesting policy prescriptions and making directive interpretations.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 2 | 32 |
| Midterm | 1 | 15 | 15 |
| Quiz | 2 | 5 | 10 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 20 | 20 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Course Introduction | Handouts |
| 2 | Introduction to Econometrics Software | Handouts |
| 3 | Bivariate Regression | Handouts |
| 4 | Linear Regression Equation | Handouts |
| 5 | Sample selection, non spheric errors, model misspecifications | Handouts |
| 6 | Assumptions of Least Squares Estimation Method | Handouts |
| 7 | Non-Linear Regression | Handouts |
| 8 | Ara Sınav | Ara Sınav |
| 9 | Simultaneous equation systems | Handouts |
| 10 | Logit and Probit regression models | Handouts |
| 11 | Time series : stationarity | Handouts |
| 12 | Time Series: Cointegration | Handouts |
| 13 | Non-stationary series and autocorrelation | Handouts |
| 14 | Panel Data (without cointegration) | Handout |
| 15 | Panel Stationarity and Cointegration | Handouts |
| 16 | Final Sınavı | Final Sınavı |