ECONOMICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ECO3062	Econometrics II	Spring	3	0	3	8

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Dr. Öğr. Üyesi EMİNE ZEREN TAŞPINAR
Course Lecturer(s):	Assoc. Prof. OZAN BAKIŞ
Recommended Optional Program Components:	None
Course Objectives:	The main objective of the course is teach students advanced econometric methods building on their knowledge of the calssical regression model and its violations learned in Econometrics course.

Learning Outcomes

The students who have succeeded in this course;
1. That classical linear regression models covered in ECO3061 falls short of answering some economic questions due to its restrictive assumptions which are not satisfied by many data sets.
2. Basics of three advanced econometric models that go beyond the classical linear regression model to overcome its limitations: pooled-cross sectional models, panel data models and time-series models.
3. How to estimate pooled-cross sectional models, panel data models and time-series models and conduct hypothesis testing for research questions to be answered with these models.
4. Advantages and disadvantages of different estimation and test procedures related with pooled-cross sectional models, panel data models and time-series models.
5. Carrying out and interpreting empirical studies in economics and related fields with advanced econometric models.
6. Running estimations of pooled-cross sectional models, panel data models and time-series models and doing related hypothesis testing in R.

Course Content

Panel Data
TimeSeries Models
Nonstationary Data
Dummy Dependent Variable Techniques
Simultaneous Equations
Forecasting
ARMA and ARIMA Models

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction
2)	Panel Veri
3)	TimeSeries Models
4)	Nonstationarity
5)	Nonstationary data
6)	Dummy Dependent Variable Techniques
7)	Dummy Dependent Variable Techniques
8)	Review
9)	Simultaneous Equations
10)	AR models
11)	MA models
12)	ARMA-ARIMA models
13)	Forecasting
14)	Forecasting

Sources

Course Notes / Textbooks:

Introduction to Econometrics, James H. Stock and Mark M. Watson, Pearson
Wooldridge, J. Introductory Econometrics: A Modern Approach, 6th ed., South-Western College Publishing. (Earlier or later editions are OK as well). The lectures are based mainly on this book. Power point slides, chapter outlines and other resources are available at: http://edu.cengage. co.uk/ (search for “wooldridge” in the search bar).

References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	1	% 10
Midterms	1	% 40
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Study Hours Out of Class	15	6	90
Quizzes	15	1	15
Midterms	1	3	3
Final	1	3	3
Total Workload			156

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	As a world citizen, she is aware of global economic, political, social and ecological developments and trends.	2
2)	He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.	3
3)	Absorbs basic economic principles and analysis methods and uses them to evaluate daily events.	4
4)	Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders.	5
5)	Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.	5
6)	Comprehends new ways of doing business using digital technologies. and new market structures.	1
7)	Takes critical approach to economic and social problems and develops analytical solutions.	2
8)	Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.	5
9)	In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.	1
10)	Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines.	2
11)	Generates original and innovative ideas in the works she/he contributes as part of a team.	1