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400001 SE SE Methods for Doctoral Candidates (2011W)
Causality inference in the social science
Continuous assessment of course work
Labels
Dates: Fr 14.10., Fr 21.10., Fr 18.11., Fr 25.11., Sat 10.12., Fr 16.12., Fr 13.1., Sat 14.1.
Time: Fridays 15:30-18:30 (6 sessions), Saturdays 9:00-12:00 (2 sessions)
Location: Seminarraum, Institut für Staatswissenschaft, 3rd floor, Hohenstaufengasse 9/7, 1010 WienPlease register as soon as possible via Moodle to get access to reading assignments for the first session (14.10.) in time.
Time: Fridays 15:30-18:30 (6 sessions), Saturdays 9:00-12:00 (2 sessions)
Location: Seminarraum, Institut für Staatswissenschaft, 3rd floor, Hohenstaufengasse 9/7, 1010 WienPlease register as soon as possible via Moodle to get access to reading assignments for the first session (14.10.) in time.
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 Th 15.09.2011 09:00 to Fr 07.10.2011 23:59
- Deregistration possible until Fr 07.10.2011 23:59
Details
Information
Aims, contents and method of the course
The seminar provides a review of recent literature on concepts and methods used in the social sciences to investigate and substantiate causal relationships. The course concentrates on quantitative methods, but includes qualitative approaches such as causal process observation as well. Causality-oriented research in the past was primarily about the proof of existence and direction of a postulated relationship. More recently the focus of attention has shifted towards correct measurement of the strength of a causal relationship. The seminar provides a critical discussion of the traditional tools of causality research - statistical hypothesis tests and regression analysis - and an introduction to new concepts and tools.
Assessment and permitted materials
course paper
Minimum requirements and assessment criteria
Examination topics
Reading list
Angrist, Joshua David und Jörn-Steffen Pischke, 2009. Mostly harmless econometrics: an empiricist's companion. Princeton: Princeton University Press.
Brady, Henry E. and David Collier (eds.) 2004. Rethinking Social Inquiry: Diverse Tools, Shared Standards. Lanham: Rowman and Littlefield.
Freedman, David, 2010. Statistical models and causal inference: a dialogue with the social sciences. David Collier, Jasjeet Singh Sekhon and Philip B. Stark, (eds). Cambridge: Cambridge University Press.
King, Gary, Robert Owen Keohane and Sidney Verba, 1994. Designing social inquiry: scientific inference in qualitative research. Princeton: Princeton University Press.
Morgan, Stephen L. and Christopher Winship, 2007. Counterfactuals and causal inference: methods and principles for social research. New York: Cambridge University Press.
Pearl, Judea, 2000. Causality: models, reasoning, and inference. Cambridge: Cambridge University Press.
Brady, Henry E. and David Collier (eds.) 2004. Rethinking Social Inquiry: Diverse Tools, Shared Standards. Lanham: Rowman and Littlefield.
Freedman, David, 2010. Statistical models and causal inference: a dialogue with the social sciences. David Collier, Jasjeet Singh Sekhon and Philip B. Stark, (eds). Cambridge: Cambridge University Press.
King, Gary, Robert Owen Keohane and Sidney Verba, 1994. Designing social inquiry: scientific inference in qualitative research. Princeton: Princeton University Press.
Morgan, Stephen L. and Christopher Winship, 2007. Counterfactuals and causal inference: methods and principles for social research. New York: Cambridge University Press.
Pearl, Judea, 2000. Causality: models, reasoning, and inference. Cambridge: Cambridge University Press.
Association in the course directory
Last modified: Mo 07.09.2020 15:46