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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
ECONOMICS DEPARTMENT
204 ECONOMICS (Evening Classes)
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
CEKO 428
QUANTITATIVE METHODS IN LABOUR ECONOMICS
3 + 0
6th Semester
5
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
The aims of the course are threefold. The first aim is to introduce students to applications of data analysis widely used in Labour Economics based on Micro-econometric techniques. The second aim is to instruct students in the basics of survey methodology, including issues such as attrition, response rates, sampling frames and weighting. The third aim is to develop an understanding of the links between the predictions of economic theory and empirical implementation of such theory using cross-section and longitudinal data. With this course, it is aimed to improve skills of the students who will graduate as labour market experts in analysing labour markets, understanding structural problems, developing solutions to these problems and comparing them globally.
Course Content
Week 1 and Week 2: Topics covered: Different types of panel datasets in Labour Economics; the British Household Panel Survey, Income Living Conditions Panel Dataset; introduction to STATA and to data management using STATA; how to estimate cross-sectional models Week 3: Topics covered: How to combine data files to obtain a panel dataset for analysis; theory and models about partnership formation Week 4: Topics covered: Theory and models of economic gains from partnerships – marriage and cohabitation; theory and models of unemployment scarring Week 5 Topics covered: Theory and models unemployment persistence; theory and models of unemployment and life satisfaction Week 6: Topics covered: Survey sample design, non-response, weighting; using weights in STATA Week 7 and Week 8: Topics covered: Event History Models: Data Preparation and Analysis; Introduction to Duration Analysis Week 9: Topics covered: Analysis of Event History Data Week 10: Application Class in the Lab Week 11: Presentations of Student Projects Week 12: Presentations of Student Projects Week 13: Presentations of Student Projects
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Students will accomplish data analysis and understanding of quantitative methods in Labour Economics. Students will be equipped with knowledge and understanding to grasp the methods of empirical research and will be able to creatively use these methods in their own research or professional work. Additionally, they will learn a software widely used in data analysis. By presenting their projects, they will increase their analytical and critical evaluations, statistical skills and independent inquiry.
COURSE'S CONTRIBUTION TO PROGRAM
Data not found.
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
13
3
39
Assignments
1
10
10
Mid-terms
1
13
13
Final examination
1
26
26
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
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L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes