Econometrics

Course Code:

ECON 352

Course Period:

Spring

Course Type:

Core

P:

3

Application:

0

Credits:

3

ECTS:

6

Prerequisite Courses:

Principles of Econometrics

Course Language:

İngilizce

Course Coordinator:

Ahmet Özçam

Courses given by:

Ahmet Özçam

Course Objectives:

In this course, a higher level of knowledge of econometrics is aimed to be taught to the students who are familiar with the basics of the classical linear regression.

Course Content:

Topics such as dynamic, simultaneous and time series models are covered. Dynamic models are Koyck, Almon and rational expectations. In estimating the simultaneous models, 2 and 3 stage least squares are used. In time series, unit root tests and co-integration are discussed. Real world applications using the theory of economics are shown using an econometric package. In time series, Autoregressive (AR), Moving average (MA), Random walk (RW) and Vector autoregressive

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Discussion, 12: Case Study

Course Evaluation Methods:

A: Testing, B: Experiment, C: Homework, Q: Quiz

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Ability to use time series, simultaneous and panel data and time sections econometrics techniques	3,4,6	1, 2, 3, 12	A, B
Ability to compare and differentiate different econometric methods	3,4,6	1, 2, 3, 12	A, B
Ability to determine the model for hypothesis testing	3,4,6	1, 2, 3, 12	A, B
Ability to criticize and criticize econometric models	3,4,6	1, 2, 3, 12	A, B
Advanced skills in using econometrics computer package	3,4,6	1, 2, 3, 12	A, B

Course Flow

Week	Topics	Study Materials
1	Basic Regression Analysis with Time Series Data	Wooldridge 2003 Chapter 10
2	Basic Regression Analysis with Time Series Data	Wooldridge 2003 Chapter 10
3	Further Issues in using OLS with Time Series Data	Wooldridge 2003 Chapter 11
4	Autoregressive Conditional Heteroscedasticity (ARCH)	Wooldridge 2003 Chapter 12
5	Autoregressive Conditional Heteroscedasticity (ARCH)	Wooldridge 2003 Chapter 12
6	Pooling Cross Sections Across Time: Panel Data Methods	Wooldridge 2003 Chapter 13
7	Midterm
8	Instrumental Variables Estimation and Two Stage Least Squares	Wooldridge 2003 Chapter 15
9	Instrumental Variables Estimation and Two Stage Least Squares	Wooldridge 2003 Chapter 15
10	Simultaneous Equations Models	Wooldridge 2003 Chapter 16
11	Logit and Probit Models for Binary Response Models	Wooldridge 2003 Chapter 17
12	Logit and Probit Models for Binary Response Models	Wooldridge 2003 Chapter 17
13	Advanced Time Series Topics	Wooldridge 2003 Chapter 18
14	Final Review

Recommended Sources

Textbook		Wooldridge, J. M. (2003) Introductory Econometrics, Thomson, South-Western, 2nd edition, (Int. edition).
Additional Resources		Johnston, Jack and John DiNardo, Econometric Methods, 4th Edition, McGraw-Hill, 1997.

Material Sharing

Documents		Econometrics readings and econometrics software (E-Views) user guides
Assignments
Exams

Assessment

IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	100
Quizzes (attendance, presentation, etc.)	0	0
Assignments	0	0
	Total	100
Contribution of Final Examination to Overall Grade		60
Contribution of In-Term Studies to Overall Grade		40
	Total	100

Course’s Contribution to Program

No	Program Learning Outcomes	Contribution
		1	2	3	4	5
1	Students can keep themselves informed and analyze the current economic development in Turkey and in the world from an international political economy perspective paying a particular attention to the interaction of the Turkish economy with the global economy.	X
2	Being aware of the development and accumulation of economic thought, students can master qualitative and quantitative knowledge and methods to test various economic theories that can be applied to the analysis of the current economic problems.	X
3	Students can use statistical and econometric analyses by learning how to use information technologies that have validity and widespread use in the field of economics.					X
4	By learning how to learn in the field of economics, students can research and work individually or as a team using the Turkish and English academic resources.				X
5	Being aware of the ethical values, students know the individual, social and ecological dimensions of the concept of social responsibility and can prove that they understand the active citizenship duty that falls upon them within this framework.	X
6	Students can clearly express, present and share their knowledge, the outcomes of their studies, their ideas and comments to people in their field or other disciplines/units using the necessary data, in national and international academic and professional environments, in Turkish or English.			X
7	Students can show that understanding the universality of social rights and the concepts of social justice, which form the basis of the modern societies, and the importance of scientific perspective, which is necessary to the social development and global competitiveness.	X

ECTS

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the Exam Week: 15 x total course hours)	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	4	60
Mid-terms	1	20	20
Quizzes (attendance, presentation, etc.)	0	0	0
Assignments	0	0	0
Final Examination	1	20	20
Total Work Load			145
Total Work Load / 25 (s)			5,8
ECTS Credit of the Course			6

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