Universität Wien
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240072 UE MM1 - Methoden der quantitativen Entwicklungsforschung (2025S)

5.00 ECTS (2.00 SWS), SPL 24 - Kultur- und Sozialanthropologie
Prüfungsimmanente Lehrveranstaltung
Mo 10.03. 09:45-11:15 Seminarraum 7, Kolingasse 14-16, OG01

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 17.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 24.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 31.03. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 07.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 28.04. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 05.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 12.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 19.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 26.05. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 02.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 16.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 23.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01
  • Montag 30.06. 09:45 - 11:15 Seminarraum 7, Kolingasse 14-16, OG01

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

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

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

MM1

Letzte Änderung: Di 21.01.2025 15:46