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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 5073 PANEL DATA ANALYSIS I ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ŞENAY ÜÇDOĞRUK BIRECIKLI

Offered to

Econometrics

Course Objective

The main objective of the course is analysis panel data within the framework regression by using proper methods

Learning Outcomes of the Course Unit

1   To be able to describe basic concepts related to Panel Data Analysis 2   To be able to obtain data set for Panel Data Analysis 3   To be able to decide method of analysis for panel data set 4   To be able to set up model 5   To be able to detect relationships 6   To be able to make interpretation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 To describe concepts related to Panel Data Analysis 2 The Simple Panel Data Methods: Pooled cross-section data 3 Cross-section data pooled over time 4 In time of structural change tests 5 Two-period Panel Data Analysis 6 Applications of Two-Period Panel Data Analysis and interpretation of Models 7 Differencing with more than two time Periods 8 Midterm 9 Introduction to Advanced Panal Data Methods 10 Fixed Effects Models 11 Application of Fixed Effects Models 12 Random Effects Models

Recomended or Required Reading

Introductory Econometrics, A Modern Approach, Fourth Edition, J.M. Wooldridge.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 20 20 Preparation for final exam 1 15 15 Preparing assignments 1 25 25 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 131

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 LO.1 1 1 1 LO.2 1 1 1 LO.3 1 1 1 LO.4 1 1 1 LO.5 1 1 1 LO.6 1 1 1