COURSE UNIT TITLE

Offered By

Maritime Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SADIK ÖZLEN BAŞER

Offered to

Maritime Business Administration (Evening)
Maritime Business Administration

Course Objective

This lecture concerns with formulating and understanding an econometric model suitable to theory of economics for marine industries, especially in the concept of costs.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

1. Karakitsos, E. and Varnavides, L. Maritime Economics A Macroeconomic Approach 1st Ed. Palgrave Macmillan, UK 2014
2. Goodwin, E. and Kemp, J. Marine Statistics Theory and Practice 1st Ed, London 1979
3. Barda, Süleyman. Ulaştırma Ekonomisi Dersleri. Menteş Kitabevi : Istanbul 1982
4. Berg-Andreassen, Jan A. (1966) Some Properties of International Maritime Statistics. Maritime Policy and Management, 23 (4)
5. Buxton, I.L. Engineering Economics and Ship Design. The British Shipping Research Association : Wallsend 1971
6. Evans, J.J. ve Marlow, Peter. Quantative Methods in Maritime Economics. Fairplay Publications : London 1990
7. Hale C. ve Vanags, A. (1989). Spot and Period Rates in The Dry Bulk Market : Some Tests for The Period 1980-1986. Journal of Trasport Economics and Policy, 23 (3)
8. Haralambides, Hercules E. (1996), The Economics of Bulk Shipping Pools. Maritime Policy and Management, 23 (3)

Planned Learning Activities and Teaching Methods

A number of applications and methods will be presented in the class that have broad applications to a variety of data-analysis in maritime economics and beyond. The material covered goes well beyond the techniques typically covered in statistics courses. While, the course will emphasize model estimation and application, the underlying theory and limitations will be discussed to ensure that the methods are properly applied and understood. The students will be able to apply the concepts learned in the class using real world data and will also learn econometric model development in softwares such as R, Matlab, Stata, Biogeme, Eviews, Limdep and SPSS.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Knowledge, skills and competencies in research, examination, critics, application and presentation of econometrics using maritime industry data.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc. Prof. Dr. Sadık Özlen Başer (02323018815)

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes