Mustafa Sevüktekin, Kadir Y. Eryiğit, Mehmet Çınar
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Contactinformation of the Course Coordinator:
kyeryigit@uludag.edu.tr Uludağ Universitesi İktisadi ve İdari Bilimler Fakültesi Ekonometri A.B.D. 16059 Görükle/Bursa Türkiye Telephone: +90 224 2941135 Fax: +90 224 2941003
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Website:
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Objective of the Course:
The aim of this course is to teach the regression models that are appropriate when the dependent variable is binary, ordinal, nominal , count, censored and truncated, to apply the regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal or count and to interpret the result obtained.
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Contribution of the Course to Professional Development
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Learning Outcomes:
1
Explains Econometric concepts ;
2
Equipped with the foundations of Economics, develops Economic models ;
3
Models problems using the knowledge of Mathematics, Statistics, and Econometrics ;
4
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems ;
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Collects, edits, and analyzes data ;
6
Uses advanced software packages concerning Econometrics, Statistics, and Operation Research ;
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Develops the ability to use different resources in an area which has not been studied in the scope of academic rules, synthesizes the information gathered, and gives effective presentations ;
8
Speaks Turkish and at least one other foreign language in accordance with the requirements of academic and business life. ;
9
Questions traditional approaches and their implementation and develops alternative study programs when required ;
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Recognizes and implements social, scientific, and professional ethic values ;
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Course Content:
Week
Theoretical
Practical
1
Data structure in Limited Dependent Variable Models
2
Limited Dependent Variable Models and OLS
3
Linear probability model, Binary Probit and Binary Logit I
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Linear probability model, Binary Probit and Binary Logit II
5
Linear probability model, Binary Probit and Binary Logit
6
Ordered Probit and ordered Logit Models
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Ordered Probit and ordered Logit Models
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Multinominal Probit model and Multinominal Logit Model I
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Multinominal Probit model and Multinominal Logit Model II
10
Sequantial Probit and Sequential Logit Models I
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Sequantial Probit and Sequential Logit Models II
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Bivariate Probit and Bivariate Logit Models I
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Bivariate Probit and Bivariate Logit Models II
14
Conditional Probit and Conditional Logit Models
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Textbooks, References and/or Other Materials:
Maddala, G.S (1988), Limited Dependent and Qualitative Variables in Econometrics Cameron C.A., Trivedi P, K, (2005). Microeconometrics Methods and Applications. Cambridge University Press. J. Scott Long, Regression Models for Categorical and Limited Dependent Variables, 1997, Sage Publications;
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
2,5
35
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
30
30
Others
0
0
0
Final Exams
1
40
40
Total WorkLoad
147
Total workload/ 30 hr
4,9
ECTS Credit of the Course
5
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
