Econometrics II
Course features
Compulsory Course
Credits : 5
RE&D Department
Lecture Hours : 5
Lab Hours : 0
Autumn Semester
Teacher
Assistant Professor
His primary research interests include the application of classical and newer statistical/econometric methods and approaches in the following scientific fields: Environmental data, environmental economics, epidemiological data with emphasis on zoonoses and their transmission mechanisms in space and time, sustainable development, environmental responsibility, sustainability indicators, forestry data.
Course Content
This course is a continuation of the Econometrics course where the theory extends to non-linear econometric models, dynamic econometric models, models of simultaneous equations and time series econometrics.
The aim of the course is students to acquire econometric analysis skills that will assist to answer questions posed by microeconomics and macroeconomics.
Upon successful completion of the course the student will be able to:
- Understand that different econometric models depend on the nature of the dependent variable and the type of data and when it is appropriate to use each of the models
- Have knowledge regarding basic econometric analysis of microeconomic and macroeconomic data
- Be able to interpret results and respond through econometric analysis to key issues raised by microeconomics and macroeconomics
The applications of these econometric methods are expected to:
- improve the student’s perception of theoretical issues as well as their judgment for problem solving especially in the rural economy.
- are able to communicate information, results and solutions based on the application of appropriate econometric methods to both specialized and non-specialized audiences.
- In addition, to acquire valuable infrastructure knowledge in econometrics that will undoubtedly be needed by those who decide to continue with postgraduate / doctoral studies and research.