Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9102065342002Econometric Analysis of Cross Sectional DataElective128
Level of Course Unit
Second Cycle
Objectives of the Course
To give practical experience in modelling for cross sectional agricultural data
Name of Lecturer(s)
Prof. Dr. Bulent Miran
Learning Outcomes
1Ability of setting up linear econometric model
2Making statistical tests for econometric models
3Ability of estimating different mathematical models
4Ability of applying necesarry tests for estimated models and improving the best models
5Ability of using estimation results of models on decision making in economics and management
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Econometric analysis of cross sectional data from farn management researches by means of least squares through Different mathematical forms, Specificaton tests, Heteroskedasticity tests, Multicollinearity tests, Weigted least squares applications Dummy variables Extensively used econometric software are used for practicing with sample data sets.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Econometric analysis of cross sectional data from farm management researches by means of least squares through Different mathematical forms
2Econometric analysis of cross sectional data from farn management researches by means of least squares through Different mathematical forms
3Specificaton tests (Practice with GRETL software)
4Specificaton tests (Practice with GRETL software)
5Heteroskedasticity tests (Practice with GRETL software)
6Heteroskedasticity tests (Practice with GRETL software)
7Multicollinearity tests (Practice with GRETL software)
8Midterm exam
9Multicollinearity tests (Practice with GRETL software)
10Weigted least squares applications (Practice with GRETL software)
11Weigted least squares applications (Practice with GRETL software)
12Dummy variables (Practice with GRETL software)
13Dummy variables (Practice with GRETL software)
14Extensively used econometric software are used for practicing with sample data sets (Practice with GRETL software)
15Extensively used econometric software are used for practicing with sample data sets (Practice with GRETL software)
16Final exam
Recommended or Required Reading
Davidson, R., MacKinnon, J.G.,Estimation and inference in econometrics,1993 -Gujarati, D.N.,Basic Econometrics, 3rd Ed.,1995 -Baltagi, B.H.,Econometric Analysis of Panel Data,1995 -Enders, W.,Applied Econometric Time Series,1995 -Intriligator, M.,Bodkin, R.,Hsiao, C.,Econometric Models, Techniques, and Applications, 2nd Ed.,1996 -Hill, C.,Griffits, W.,Judge, G.,Undergraduate Econometrics,1997 -Thomas, R.L.,Modern Econometrics: An Introduction,1997 -Greene, W.,Econometric Analysis, 3rd Ed.,1997 -Ramanathan, R.,Introductory Econometrics with Applications, 4th Ed.,1998 -Greene, W.,Econometric analysis,2000 -Greene, W.,Econometric Analysis, 4th Ed.,2000 -Ruud, P.A.,,An Introduction to Classical Econometric Theory,2000
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination133
Final Examination133
Attending Lectures14342
Problem Solving14114
Self Study14570
Individual Study for Homework Problems14456
Individual Study for Mid term Examination12626
Individual Study for Final Examination12626
TOTAL WORKLOAD (hours)240
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
LO155    5      5
LO255    5      5
LO355    5      5
LO455          5 
LO555          5 
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr