ECMZ406 Time Series Models II

4 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR. (ENGLISH)
Code ECMZ406
Name Time Series Models II
Term 2019-2020 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi FELA ÖZBEY
Course Instructor Dr. Öğr. Üyesi FELA ÖZBEY (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to give the students a good theoretical and empirical understanding of statistical methods used in multivariate time series analysis.

Course Content

This course involves the study of stochastic and deterministic trends,Unit root tests, VAR models, determination of the maximal lag of the system, Granger Causality, error correction represantation, cointegration, Engle-Granger cointegration test, Johansen cointegration test, ARDL models, bounds test.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Detects deterministic and stochastic trend.
LO02 Analyzes multivariate time series models.
LO03 Detects interrelationship among economic time series.
LO04 Establishes statistical model that best fits the time series data.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 0
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 0
PLO03 - Equipped with the foundations of Economics, and develops Economic models 0
PLO04 - Describes the necessary concepts of Business 0
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 0
PLO06 - Estimates the model consistently and analyzes & interprets its results 0
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 0
PLO08 - Collects, edits, and analyzes data 0
PLO09 - Uses a package program of Econometrics, Statistics, and Operation Research 0
PLO10 - Effectively works, take responsibility, and the leadership individually or as a member of a team 0
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 0
PLO12 - Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied 0
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 0
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 0
PLO15 - Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 0
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 0
PLO17 - Recognizes and implements social, scientific, and professional ethic values 0
PLO18 - Follows actuality, and interprets the data about economic and social events 0


Week Plan

Week Topic Preparation Methods
1 Nonstationary Processes - Forms of Nonstationarity, Trend Elimination Students will be prepared by studying relevant subjects from source books according to the weekly program
2 Nonstationary Processes - Dickey-Fuller Tests Students will be prepared by studying relevant subjects from source books according to the weekly program
3 Nonstationary Processes - The Phillips-Perron Test, Unit Root Tests and Structural Breaks, KPSS test Students will be prepared by studying relevant subjects from source books according to the weekly program
4 Vector Autoregressive Processes: Stationarity conditions and MA Represantation of the System Students will be prepared by studying relevant subjects from source books according to the weekly program
5 Vector Autoregressive Processes - Error Correction Represantation, , FPE, AIC, BIC, HQ criteria Students will be prepared by studying relevant subjects from source books according to the weekly program
6 Vector Autoregressive Processes - Granger Causality, Impulse Response Analysis Students will be prepared by studying relevant subjects from source books according to the weekly program
7 Vector Autoregressive Processes - Variance Decomposition Students will be prepared by studying relevant subjects from source books according to the weekly program
8 Mid-Term Exam Students will be prepared by studying relevant subjects from source books according to the weekly program
9 Cointegration - Definition and Properties of Cointegrated Processes Students will be prepared by studying relevant subjects from source books according to the weekly program
10 Cointegration - Cointegration in Single Equation Models: Represantation, Estimation and Testing Students will be prepared by studying relevant subjects from source books according to the weekly program
11 Cointegration - Cointegration in Vector Autoregressive Models: The Vector Error Correction Representation, The Johansen Approach Students will be prepared by studying relevant subjects from source books according to the weekly program
12 Cointegration - Cointegration in Vector Autoregressive Models: Analysis of Vector Error Correction Models, Cointegration and Economic Theory Students will be prepared by studying relevant subjects from source books according to the weekly program
13 ARDL models, static and dynamic equilibrium Students will be prepared by studying relevant subjects from source books according to the weekly program
14 Bounds test Students will be prepared by studying relevant subjects from source books according to the weekly program
15 An overview Students will be prepared by studying relevant subjects from source books according to the weekly program
16 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program
17 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) 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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 01.05.2025 12:21