The main objectives of the course are to introduce students to basic econometrics techniques and to prepare them to do their own applied work.
Regression model adapted to cross section data; how to estimate parameters in regressions equations; how to use estimated regression models for prediction.
Vertical Tabs
Course Learning Outcomes
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Learning Outcomes |
Program Learning Outcomes |
Teaching Methods |
Assessment Methods |
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1. The ability of the comprehensive understanding of regression analysis relevant for analysing economic data.
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4,9 |
1,2,3,4,5 |
A,B |
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2. The ability to identify, interpret and critically evaluate the outcomes of empirical analysis
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4,9 |
1,2,3,4,5 |
A,B |
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3. The ability to understand theoretical background for the standard methods used in empirical analyses, like properties of least squares estimators and the statistical testing of hypothesis.
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4,8 |
1,2,3,4,5 |
A,B |
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4. The ability to use and apply the computer based program package (Eviews) for econometric analyses.
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4,8,9 |
1,2,3,4,5 |
A,B |
Course Flow
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Topics |
Study Materials |
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1 |
Introduction |
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2 |
Tests of Hypotheses on the parameter of one population (mean, variance, proportion) |
Chap. 9 |
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3 |
Tests of Hypotheses on the parameter of one population (mean, variance, proportion) |
Chap. 9 |
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4 |
Tests of Hypotheses on the parameter of one population (mean, variance, proportion) |
Chap. 9 |
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5 |
Tests of Hypotheses on the parameter of one population (mean, variance, proportion) |
Chap. 9 |
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6 |
Tests of Hypotheses on the parameter of two populations (mean, variance, proportion) |
Chap. 10 |
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7 |
MIDTERM |
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8 |
Tests of Hypotheses on the parameter of two populations (mean, variance, proportion) |
Chap. 10 |
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9 |
Tests of Hypotheses on the parameter of two populations (mean, variance, proportion) |
Chap. 10 |
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10 |
Analysis of Variance |
Chap. 11 |
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11 |
Analysis of Variance |
Chap. 11 |
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12 |
Simple Correlation Analysis |
Chap. 12 |
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13 |
Simple Regression Analysis |
Chap. 12 |
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14 |
Simple Regression Analysis |
Chap. 12 |
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15 |
FINAL |
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Recommended Sources
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Textbook |
Ken BLACK “Applied BUSINESS STATISTICS: Making Better Business Decisions”, Wiley, 7th edition or more recent edition |
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Other Sources |
P. Newbold, W.L. Carlson and B. M. Thorne “Statistics for Business and Economics”, Pearson, 8th edition Allan G. Bluman “Elementary Statistics – A Step by Step Approach”, 10th Edition |
Material Sharing
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Documents |
Textbook+lecture notes |
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Assignments |
Homeworks (5) |
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Exams |
Mid-terms and final exam |
Assessment
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IN-TERM STUDIES |
NUMBER |
PERCENTAGE |
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Mid-terms |
2 |
60 |
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Homeworks |
5 |
40 |
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Total |
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100 |
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CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE |
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40 |
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CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE |
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60 |
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Total |
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100 |
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COURSE CATEGORY |
Expertise/Field Courses |
Course’s Contribution to Program
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COURSE'S CONTRIBUTION TO PROGRAM |
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No |
Program Learning Outcomes |
Contribution |
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1 |
2 |
3 |
4 |
5 |
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1 |
To understand the core principles of finance and to be able to apply them both nationally and internationally. |
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2 |
To effectively use contemporary information technologies and up-to-date financial instruments. |
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X |
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3 |
To understand the ethics rules and the social responsibility mentality adopted by professional finance organizations and apply them in the decision-making process. |
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4 |
To have the necessary background to be able to work in multicultural and multilingual environments. |
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X |
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5 |
To be informed about markets and the factors affecting them, and to be able to analyze the developments in these markets. |
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6 |
To recognize management tools and models specific to multinational companies and to be able to apply them where necessary. |
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7 |
To understand the structure of the global economic system and to be able to analyze how new developments will affect this structure. |
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8 |
To be able to use critical thinking ability in decision making process. |
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X |
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9 |
To be able to transfer the leadership, teamwork and communication skills acquired to the lifelong learning process. |
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10 |
To be able to predict the opportunities and problems that may arise under dynamic working conditions and manage these using analytical and creative approaches. |
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X |
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ECTS
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Activities |
Quantity |
Duration |
Total |
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Course Duration (Including the exam week: 15x Total course hours) |
15 |
3 |
45 |
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Hours for off-the-classroom study (Pre-study, practice) |
15 |
2 |
30 |
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Mid-terms |
2 |
10 |
20 |
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Homework |
5 |
4 |
20 |
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Final examination |
1 |
20 |
20 |
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Total Work Load |
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135 |
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Total Work Load / 25 (h) |
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5,4 |
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ECTS Credit of the Course |
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5 |