COURSE UNIT TITLE

: SPATIAL ECONOMETRICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 5080 SPATIAL ECONOMETRICS ELECTIVE 3 0 0 6

Offered By

Economics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR FIRAT GÜNDEM

Offered to

Economics

Course Objective

The aim of this course is to give the basic econometric techniques to the students and to give the necessary infrastructure. And to develop the abilities of the student in order to make researches which is also a part of the master degree programme.

Learning Outcomes of the Course Unit

1   To be able to understand to subjects related with the durable regression and spatial econometrics.
2   To be able to examine the econometric researches critically.
3   To be able to have the understanding of the systematic necessity of the reason of the development of the classical regression analysis.
4   To be able to use econometric programmes related with the spatial and durable regressions.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Spatial otocorelation, Moran's I, Getis, Ord
2 Spatial otocorelation, Moran's I, Getis, Ord
3 Spatial regression models, spatial delay models (SAR), spatial error models (SEM)
4 Spatial regression models, Anselin and Berra
5 Other spatial regression models, SDM, SAC, SLX etc.
6 Spatial dependency tests, Anselin (1987)
7 Mid Term
8 The estimation of spatial process models Anselin (1987), Anselin and Berra (1998)
9 Empirical Analysis with GeoDa
10 Spatial panel data analysis
11 Application with Mat Lab
12 Indices of spatial inequality
13 Applications of the regional inequality indices
14 Presentations of the end of the term projects.

Recomended or Required Reading

Anselin L. (1987) Spatial Econometrics:Methods and Models,
Kluwer Anselin L. Florax, R.J.G.M and Rey, S.J.(2004)Advances in Spatial Econometrics, Springer
Anselin L. And Bera A. K. (1998) Spatial Dependence in Linear Regression Moldes with an Introduction to Spatial Econometrics, in A. Ulah and D. E. A. Giles (eds.)
Handbook of Applied Statistics Elhorst P. (2003) Specification and Estimation Spatial Panel
Data Models, International Regional Science Review,26, 3, 244-268
Elhorst (2010) Applied Spatial Econometrics: Raising the Bar

Planned Learning Activities and Teaching Methods

Spatial econometrics, spatial otocorrelation, spatial dependency test, spatial process testing.

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)

firat.gundem@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Course 13 4 52
Preparation for the course 13 3 39
Homework 1 20 20
Preparation for the exams 2 20 40
Mid Term 1 3 3
Final Exam 1 3 3
TOTAL WORKLOAD (hours) 157

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.11111
LO.2111
LO.31111
LO.41

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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