TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Associate Professor Didem Pekkurnaz
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Use advanced econometric analysis techniques in the analysis of economic problems. 2) Examine the econometric models used specific to different data types. 3) Apply different econometric analysis methods through the Stata package program.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	In this course, instrumental variables, simultaneous equation models, binary output models, Tobit model, counting data modeling and panel data models are examined.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Stata 2nd Week Introduction to Stata 3rd Week Creating Variables and Calculations in Stata 4th Week Summary Statistics and Graphics in Stata 5th Week Two-variable Regression Model with Stata 6th Week Two-variable Regression Model with Stata: Confidence Intervals and Hypothesis Testing 7th Week Extension of Two-Variable Regression Model: Stata applications 8th Week Midterm 9th Week Multiple Regression Analysis in Stata 10th Week Multiple Regression Analysis in Stata 11th Week Dummy Variable Regression with Stata 12th Week Multicollinearity and Model Misspecifications: Stata applications 13th Week Heteroscedasticity: Stata applications 14th Week General Review
RECOMENDED OR REQUIRED READING	Readings: Lee C. Adkins and R. Carter Hill, Using Stata for Principles of Econometrics, 4th edition. John Wiley. Supplementary readings: R. Carter Hill, William E. Griffiths and Guay C. Lim, Principles of Econometrics, 4th edition. John Wiley. Damodar Gujarati ve Dawn Porter, Temel Ekonometri, 5. Basımdan çeviri. Çev: Ümit Şenesen ve Gülay Günlük Şenesen. Literatür Yayıncılık, İstanbul. Jeffrey Wooldridge, Introductory Econometrics: A Modern Approach, 5th edition. South-Western Cengage Learning.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Assignment 1 10 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1,5 1,5 Preparation for Quiz 0 0 0 Individual or group work 14 3 42 Preparation for Final exam 1 30 30 Course hours 14 2 28 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) 14 1 14 Final exam 1 1,5 1,5 Homework 1 5 5 Total Workload 147 Total Workload / 30 4,9 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No