ECON507 ECONOMETRIC METHODS I
Course Code: | 3110507 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (4.00 - 0.00) |
ECTS Credit: | 10.0 |
Department: | Economics |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Assoc.Prof.Dr. DİLEM YILDIRIM KASAP |
Offered Semester: | Fall Semesters. |
Course Objectives
It is the aim of the course to familiarize students with regression and estimation theory to constitute an introduction and a basis for more specific and advanced econometric courses.The course materials are mathematical, and the emphasis is on understanding rather than on “cookbook” applications.
Course Content
Probability Distribution Theory and Statistical Inference; the linear regression model; maximum likelihood ; specification problems; data problems; non-linear regression.
Course Learning Outcomes
At the end of the course students are expected to have acquired the knowledge on general linear regression model, its algebra, estimation and inference.
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Advanced level of knowledge on the theory of economics and economic indicators, competency in modelling, analysis and application of economic theories using advanced mathematical and econometric techniques; | ✔ | |||
2 | Competency in asking the right research questions; | ✔ | |||
3 | Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject; | ✔ | |||
4 | Conceive the interdisciplinary interaction which the field is related with; efficient use of time; demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving; | ✔ | |||
5 | Ability in thouroughly explaining the impact of economic policies on individuals, markets and countries with the help of the theoretical background achieved during program of study; | ✔ | |||
6 | Contribute to the progression in the field by producing an innovative idea, skill, and/or practice or by adapting an already known idea, skill, and/or practice to a different field independently; | ✔ | |||
7 | Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements; | ✔ | |||
8 | Ability and competence to work and conduct research with national and international research groups and partnerships; | ✔ | |||
9 | Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution