
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9102065342002  Econometric Analysis of Cross Sectional Data  Elective  1  2  8 
 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  1  Ability of setting up linear econometric model  2  Making statistical tests for econometric models  3  Ability of estimating different mathematical models  4  Ability of applying necesarry tests for estimated models and improving the best models  5  Ability of using estimation results of models on decision making in economics and management 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  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  
1  Econometric analysis of cross sectional data from farm management researches by means of least squares through Different mathematical forms    2  Econometric analysis of cross sectional data from farn management researches by means of least squares through Different mathematical forms    3  Specificaton tests (Practice with GRETL software)    4  Specificaton tests (Practice with GRETL software)    5  Heteroskedasticity tests (Practice with GRETL software)    6  Heteroskedasticity tests (Practice with GRETL software)    7  Multicollinearity tests (Practice with GRETL software)    8  Midterm exam    9  Multicollinearity tests (Practice with GRETL software)    10  Weigted least squares applications (Practice with GRETL software)    11  Weigted least squares applications (Practice with GRETL software)    12  Dummy variables (Practice with GRETL software)    13  Dummy variables (Practice with GRETL software)    14  Extensively used econometric software are used for practicing with sample data sets
(Practice with GRETL software)    15  Extensively used econometric software are used for practicing with sample data sets
(Practice with GRETL software)    16  Final 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   Language of Instruction  Turkish  Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  3  3  Final Examination  1  3  3  Attending Lectures  14  3  42  Problem Solving  14  1  14  Self Study  14  5  70  Individual Study for Homework Problems  14  4  56  Individual Study for Mid term Examination  1  26  26  Individual Study for Final Examination  1  26  26  
Contribution of Learning Outcomes to Programme Outcomes  LO1  5  5      5        5  LO2  5  5      5        5  LO3  5  5      5        5  LO4  5  5            5   LO5  5  5            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 • email: intrec@mail.ege.edu.tr 
