Universität Wien

240072 UE MM1 - Methods of Quantitative Research in Development Studies (2025S)

5.00 ECTS (2.00 SWS), SPL 24 - Kultur- und Sozialanthropologie
Continuous assessment of course work
Moodle
Mo 23.06. 09:45-11:15 Seminarraum 7, Kolingasse 14-16, OG01

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 10.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 17.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 24.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 31.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 07.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 28.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 05.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 12.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 19.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 26.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 02.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 16.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 30.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

This is a course in applied statistics. The main goal is for students to develop the foundations necessary to implement quantitative 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

Descriptive statistics, probability, random variables, statistical inference, regression analysis, panel data methods, instrumental variables, causal inference

Reading list

The course has been prepared with Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition, (NCT)

In some instances, other textbooks have been use to complement the one above.

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)

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

Other introductory statistics textbooks are likely to provide very similar treatments.

Association in the course directory

MM1

Last modified: Fr 14.02.2025 09:26