Faculty of Business and Management Sciences · Business Administration · 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.
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.