180174 KU Foundational Econometrics (2023W)
Continuous assessment of course work
Labels
ON-SITE
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).
- Registration is open from Mo 04.09.2023 09:00 to Su 10.09.2023 23:59
- Registration is open from Mo 18.09.2023 09:00 to Su 24.09.2023 23:59
- Deregistration possible until Tu 31.10.2023 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
04.10.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
11.10.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
18.10.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
25.10.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
08.11.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
15.11.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
22.11.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
29.11.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
06.12.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
13.12.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
10.01.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
17.01.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
24.01.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday
31.01.
09:45 - 11:15
Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
The course’s main goal is for students to develop the foundations necessary to implement empirical research independently. For this purpose, they are required to carry out a number of "hands-on" applications. The course is taught at an introductory level.
Assessment and permitted materials
Students are graded according to three homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.
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: descriptive statistics, probability, random variables, statistical inference, regression analysis, causal inference
Reading list
The course is strongly (but not exclusively) based on Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition. Other introductory statistics textbooks (two examples below) provide similar treatments. Eventual additional materials will be listed in the course's syllabus.
Larsen and Marx (2012): An Introduction to Mathematical Statistics and its Applications, Prentice Hall
Shafer and Zhang (2012): Beginning Statistics (legally available online for free).
Larsen and Marx (2012): An Introduction to Mathematical Statistics and its Applications, Prentice Hall
Shafer and Zhang (2012): Beginning Statistics (legally available online for free).
Association in the course directory
Last modified: We 30.08.2023 13:47