ECON680 TIME SERIES ECONOMETRICS

Course Code:3110680
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Economics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assist.Prof.Dr ALEV ATAK
Offered Semester:Fall Semesters.

Course Objectives

At the end of this course, the student will learn the concepts of :

  • univariate time series models
  • multivariate time series models
  • non parametric time series models

 


Course Content

Univariate time series models; ARIMA modeling, Bob-Jenkins methodology. Dterministic and stochastic trends. Non-stationary and unit roots; testing and model selection. VAR models; structural VARs, innovation accounting. Cointegration; the Johansen method.


Course Learning Outcomes

Student, who passed the course satisfactorily will be able to:

  • carry out diagnostic analysis using their knowledge on time series 
  • assess a time series of data 
  • perform a time series analysis

 


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Advanced 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;
2Competency in asking the right research questions;
3Develop 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;
4Conceive the interdisciplinary interaction which the field is related with; efficient use of time; demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving;
5Ability 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;
6Contribute 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;
7Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements;
8Ability and competence to work and conduct research with national and international research groups and partnerships;
9Defend 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