• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 6089 ECONOMETRIC ANALYSIS I ELECTIVE 3 0 0 6

Offered By

Econometrics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ŞENAY ÜÇDOĞRUK BIRECIKLI

Offered to

Econometrics

Course Objective

Be able to evaluate and make interpretation of econometric cross-sectional data, and to use the econometric results.

Learning Outcomes of the Course Unit

1   To reveal the relationship between micro-econometric methods. 2   To describe concepts. 3   To classify the dependent variables according to the characteristics. 4   Model building. 5   To reveal the relationships. 6   To make a comment.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Counting Outcomes: Regression Models for Countable Assets 2 Poisson distribution, heterogeneity thought, Poisson Regression Model, Estimating, Interpretation. Comparison with LRM 3 Negative binomial regression model, the heterogeneity and dependency, Estimating and Testing the Over Spill, 4 Zero Modified Count Models 5 Applications of Counting Outcomes 6 Applications of Counting Outcomes 7 Zero Inflate Count Models 8 Mid-term 9 Comparison of Counting Models 10 Confined Outputs: Tobit Model, Censoring and Cutting 11 The Relationship between Tobit and Probit, Top and Bottom Censoring 12 Discrete Regression Model 13 Confined Outputs: Tobit Model, Applications Related to Discrete Regression Models 14 Confined Outputs: Tobit Model, Applications Related to Discrete Regression Models

Recomended or Required Reading

1- Scott Long, Regression Models for Categorical and Limited Dependent Variables

Planned Learning Activities and Teaching Methods

Lecture Method, Question-Answer Method, Discussion and Problem Solving Method Method-Applications

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 40 40 Preparation for final exam 1 40 40 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 151

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 PO.9 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1 LO.6 1