COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CEKO 428QUANTITATIVE METHODS IN LABOUR ECONOMİCS3 + 06th Semester5

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 prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Students 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
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
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