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Statistics and Econometrics

Slide presentations:

Excel Templates for Practical Exercises

Software Tools

Course Syllabus

Goals

Evaluation

Exams schedule

Contents

References

Web Pares

Compulsary module

Teaching methods: lectures, exercises, homeworks

Semester: II

Total teaching: 45 hours

Teacher:
Dr. Adel Ben Youssef, Ma�tre de conf�rences, University Nice-Sophia Antipolis
Dr. Faton Berisha, Full professor, University of Prishtina

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    Goals:

  • Enabling the students for using statistical tools in business and financial applications.
  • Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications.
  • Providing the students with knowledge of linear optimization and enabling them for using appropriate software tools in business applications.

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    Students Evaluation:

    Evaluation is based on the following scheme.

  • Attendance and activity: 10%.
  • Homework: 30%.
  • Midterm exam: 35%.
  • Final exam: 35%.

    At least 60% of the points are required for a pozitive grade (for details see the course syllabus).

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    Contents:

    Exploration�of�Data

    Probability�&�Decision�Making�under�Uncertainty

    Regression�Analysis�&�Forecasting

    Optimization

    Simulation

 

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    References:

  1. B. E. Hansen, Econometrics, University of Wisconsin, 2016.
  2. B. L. Bowerman, R. T. O'Connell, Business statistics in practice, McGraw-Hill, 2005.
  3. J. M. Wooldridge, Introductory Econometrics: A Modern Approach, Southwestern, 2013.
 

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    Useful Web Pages: