Universität Wien
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180007 KU Foundational Econometrics (2024W)

4.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work
Moodle
Mo 07.10. 15:00-16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock

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Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 14.10. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 21.10. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 28.10. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 04.11. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 11.11. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 18.11. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 25.11. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 02.12. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 09.12. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 16.12. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 13.01. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 20.01. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
  • Monday 27.01. 15:00 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock

Information

Aims, contents and method of the course

This is a course in applied statistics and econometrics. Its main goal is for students to develop the foundations necessary to read and critically assess the empirical evidence, and to implement empirical research independently. The course is taught at an introductory level.

The course is taught on site.

Assessment and permitted materials

Students are graded according to a midterm exam, a final exam and a final project (each 1/3 of the final grade).

For midterm and final exams, no materials (electronic devices, notes, books, etc.) are allowed.

Minimum requirements and assessment criteria

Students should prove a good command (at least 50%) of the course’s topics; 50% - 59% implies a 4; 60% - 69%, a 3; 70% - 84%, a 2; 85% - 100%, a 1.

Examination topics

Topics: probability, random variables, statistical inference, linear regression model, instrumental variables, panel data methods, limited dependent variable models, causal inference

Reading list

The course is strongly (but not exclusively) based on:

Larsen and Marx (2012): An Introduction to Mathematical Statistics and its Applications, Prentice Hall

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

Wooldridge (2013): Introductory Econometrics: A Modern Approach, South-Western, 5th Edition

Association in the course directory

Last modified: Tu 03.09.2024 16:06