IEM1819 Macroeconometrics I

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

Information

Code IEM1819
Name Macroeconometrics I
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET ÖZMEN
Course Instructor
1


Course Goal / Objective

It has been aimed to execute and assess analysis of time series data in univariate and multivariate applied contexts making use of theoretical and applied tools used by professional economists to analyze time series data.

Course Content

Autoregressive Moving Average Processes, Non-Stationary Time Series Models, Unit Root Tests, Vector Autoregression Models and Cointegration Analysis.

Course Precondition

None

Resources

Hayashi, F. (2011). Econometrics. Princeton University Press.

Notes

Favero, C. A. (2001). Applied macroeconometrics. Oxford University Press on Demand.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analyzing macro/aggregate data
LO02 Interpreting time-series models
LO03 Forecasting major macro variables and simulations of macro-models
LO04 Acquiring skills and knowledge of econometric modelling for strategic thinking and understanding
LO05 Using the econometric concepts and tools in the analysis of economic behaviors of countries
LO06 Understanding the inter-linkages among sectors and markets of various economies


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 5
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 4
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 5
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 5
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose 4
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 4
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 5
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 5
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 3
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 4
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 3
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 5


Week Plan

Week Topic Preparation Methods
1 Business cycles and Basic concepts of Time Series Models Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Difference Equations Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Fractals Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Functional Central Limit Theorems Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Spectra and Univariate Filtering of Time-Series Data Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Autocorrelated Disturbances and ARMA Models Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Rational Expectations Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Studying the Course Content Öğretim Yöntemleri:
Bireysel Çalışma
9 Granger Causality, Impulse Response Functions, Variance Decomposition Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Multivariate Time Series Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Structural Vector Autoregressions Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Unit Roots from the Frequentist and the Bayesian Perspective Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Spurious Regressions Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Cointegration and Error Correction Models Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Maximum Likelihood Estimation Reading the Textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Studying the Whole Course Content Öğretim Yöntemleri:
Bireysel Çalışma
17 Term Exams Studying the Whole Course Content Öğretim Yöntemleri:
Bireysel Çalışma


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS

Update Time: 18.11.2022 05:04