The course covers specification, estimation and testing the validity of model , forcasting on its basis, as well as its application in bussiness and economic analysis.
'Statistics for Business and Economics', McClave-Benson-Sincich, 2001
'Business Statistics' Levine, Brenson, 2002
'Statistics for Business and Econom'cs`\ Paul Newbold W.Carlson 2002
`Quantitative Methods for Business and Economics` G.Burton 2002
Other Sources
none
Course Schedules
Week
Contents
Learning Methods
1. Week
Hypothesis Testing
2. Week
Business applications
3. Week
Correlation Analysis, excel applications
4. Week
Simple regression model
5. Week
Excel applications
6. Week
Estimation,Standard assumptions
7. Week
Multiple regression model
8. Week
Model applications and excel
9. Week
Dummy variable models
10. Week
Non-linear regression model
11. Week
Business applications
12. Week
Defination of index
13. Week
Computations of indicies
14. Week
The index types in Turkey
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Quizzes
1
15
Final Exam
1
45
Program Outcomes
PO-1
To define his/her competencies using the theoretical and practical knowledge he/she acquired in the field of Economics and to use these competencies in practice.
PO-2
To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3
To develop solution suggestions for complex and/or unpredictable problems encountered in practice, to report and present these suggestions in accordance with the academic publication rules.
PO-4
To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5
To determine the learning needs in the field of Economics, to evaluate the acquired knowledge and skills with a critical approach, and to use this knowledge and skills to develop economic policies.
PO-6
To inform relevant people and institutions on issues related to the field of Economics and to gain the ability to convey written and verbal solutions to problems.
PO-7
To convey his/her thoughts and suggestions in the field of Economics to experts and non-experts by supporting them with quantitative and qualitative data, to discuss and to contribute to the development of new policies by revising suggestions according to the feedback he/she receives.
PO-8
To benefit from other disciplines that form the basis of the field of Economics, to develop multidisciplinary approaches by associating these disciplines with his/her knowledge in the field of Economics, to produce project and publications.
PO-9
To define the differences and relationships between classical and modern theories of economics and to observe the distinctions between classical and modern economic policies and to evaluate the compatibility of these policies with economic and social issues.
PO-10
To read and comprehend foreing news sources about economics being fluent in a foreign language, to scan the economic literature and to follow the most current approaches in this field.
PO-11
To take into account scientific and ethical values in the stages of collecting, interpreting and announcing economic data and carrying out statistical/econometric studies using these data, and also to carry out the publication process in accordance with academic publishing principles.
Learning Outcomes
LO-1
The purpose of the course is to introduce to the students basic ideas and methods of regression model.
LO-2
The students are learning modelling in excel and in other softwares in detail.
LO-3
The students learn how to interpret the economic data
LO-4
The course covers estimation of the economic variables.
LO-5
The course covers forecasting in bussiness and economic analysis.
