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Course Description Course Name : Applied Econometrics I Course Code : IEM 703 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. MEHMET ÖZMEN Learning Outcomes of the Course : Learns about econometric tests İnterprets an article Applies tests Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Modelling economic relations by using econometric methods, their computer based applications and interpreting the models. Course Contents : DF and ADF unit root tests, Engel-Granger and Johansen cointegration tests, estimation of VEC model, estimation of ARIMA models, estimation of VAR model Language of Instruction : Turkish Work Place : in class and computer lab   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to time series econometrics Reading related sources Lecture 2 Some Basic Concepts, Difference equations, white noise process Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 3 AR, MA, ARMA and ARIMA models Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 4 Box-Jenkins Forecasting Models Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 5 Random Walk Hypothesis, Deterministic and Stochastic Trend Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 6 Spurious Regression Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 7 Elimination of Time Series Trend: The Difference and Trend stationarity Processes Reading related sources, Problem Set and Application Lecture, Problem Session and Application 8 midterm exam 9 Testing stationarity Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 10 Criteria for determining the number of delay Reading related sources Lecture, Problem Session and Application 11 Testing the existence of co-integration Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 12 Cointegration Durbin Watson Test Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 13 Engle-Granger Test Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 14 Engle-Granger and Yoo Approach Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 15 Maximum Eigenvalue test and track test statistic Reading related sources ,Problem Set and Application Lecture, Problem Session and Application 16/17 Final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Pindyck, R. S., Rubinfeld, D. L., 1991, Mc-Graw Hill  Enders, W., 1995, John Wiley & Sons Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 50     Homeworks/Projects/Others 5 50 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Explains Econometric concepts 5 2 Equipped with the foundations of Economics, develops Economic models 5 3 Models problems using the knowledge of Mathematics, Statistics, and Econometrics 5 4 Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5 5 Collects, edits, and analyzes data 5 6 Uses advanced software packages concerning Econometrics, Statistics, and Operation Research 4 7 Develops the ability to use different resources in an area which has not been studied in the scope of academic rules, synthesizes the information gathered, and gives effective presentations 4 8 Speaks Turkish and at least one other foreign language in accordance with the requirements of academic and business life. 0 9 Questions traditional approaches and their implementation and develops alternative study programs when required 5 10 Recognizes and implements social, scientific, and professional ethic values 4 11 Gives a consistent estimate for the model and analyzes and interprets its results 4 12 Takes responsibility individually and/or as a member of a team; leads a team and works effectively 3 13 Defines the concepts of statistics, operations research and mathematics. 5 14 Knowing the necessity of life-long learning, follows the latest developments in the field of study and improves himself continiously 3 15 Follows the current issues, and interprets the data about economic and social events. 5 16 Understands and interprets the feelings, thoughts and behaviours of people and expresses himself/herself orally and in written form efficiently 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 5 5 25     Mid-term Exams (Written, Oral, etc.) 1 16 16     Final Exam 1 18 18 Total Workload: 143 Total Workload / 25 (h): 5.72 ECTS Credit: 6