Universität Wien

180092 UK Foundational Econometrics (2019W)

4.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.10. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 14.10. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 21.10. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 28.10. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 04.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 11.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 18.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 25.11. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 02.12. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 09.12. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 16.12. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 13.01. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 20.01. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 27.01. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Information

Aims, contents and method of the course

The course is a standard introduction to statistics. The material will be taught at an accessible mathematical level.

The course will cover an introductory view of the following topics:
1. Descriptive Statistics (very quickly)
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis

Assessment and permitted materials

Students will be evaluated on the basis of three different homeworks (20% of the mark each) and a final exam (40%). All required. Homeworks can be done in groups of max 4 people. The final project must be individual.

Minimum requirements and assessment criteria

Very little prior knowledge of probability and statistics is required.

In order to pass, students will have to complete 50% of the course.

Examination topics

1. Descriptive Statistics
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis

Reading list

Course Book: Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition. (NCT)

Several examples have been borrowed from the following books:
1. Charles Wheelan (2013): Naked Statistics. Stripping the Dread from the Data, W.W. Norton.
2. Leonard Mlodinow (2008): The Drunkard'S Walk. How Randomess Rules Our Lives, Pantheon Books.
3. Nate Silver (2012): The Signal and the Noise. Why So Many Predictions Fail, But Some Don't, Penguin Books.

Association in the course directory

Last modified: Sa 08.07.2023 00:17