30222
Advanced seminar
WiSe 21/22: Why and How? Empirical Methods of causal analysis using STATA and SPSS
Christian Brzinsky-Fay Dieter Ohr
Information for students
ACHTUNG! Diese LV wird in Präsenz durchgeführt, siehe Raumangaben.
CAUTION! This course will take place in presence. Check the location info.
CAUTION! This course will take place in presence. Check the location info.
Additional information / Pre-requisites
Requirements
Regular participation
Two assignments
Regular participation
Two assignments
Comments
Causal analysis has undergone major transformations and has led to an advancement in explanatory power of causal relations within quantitative data analysis. Despite the sharp increase of experimental methods, the analysis of survey data stays at the center of social science inquiry. The seminar aims at practically introducing methods that tackle the problems of testing causal statements with survey data. In the first part, we will discuss the main notions and instruments of this new way to think about causality and causal inference (e.g., front-door criterion, counterfactuals, mediation). In the second part of the seminar, we will apply statistical methods – such as instrumental variables, difference-in-difference, matching – by means of both Stata and SPSS.
Participants should have basic knowledge in multivariate statistics and at least one of the two software packages.
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Suggested reading
Reading
Kohler, U., Kreuter, F. (2012): Data Analysis Using Stata, Stata Press: College Station.
Pearl, J., Glymour, M., and Jewell, N. (2016): Causal Inference in Statistics: A Primer. Wiley: New York, NY.
Pearl, J., and MacKenzie, D. (2018): The Book of Why: The New Science of Cause and Effect. Basic Books: New York, NY.
Stockemer, Daniel (2019): Quantitative Methods for the Social Sciences. A Practical Introduction with Examples in SPSS and Stata, Springer: Cham. close
Kohler, U., Kreuter, F. (2012): Data Analysis Using Stata, Stata Press: College Station.
Pearl, J., Glymour, M., and Jewell, N. (2016): Causal Inference in Statistics: A Primer. Wiley: New York, NY.
Pearl, J., and MacKenzie, D. (2018): The Book of Why: The New Science of Cause and Effect. Basic Books: New York, NY.
Stockemer, Daniel (2019): Quantitative Methods for the Social Sciences. A Practical Introduction with Examples in SPSS and Stata, Springer: Cham. close
16 Class schedule
Regular appointments
Mon, 2021-10-18 10:00 - 12:00
Mon, 2021-10-25 10:00 - 12:00
Mon, 2021-11-01 10:00 - 12:00
Mon, 2021-11-08 10:00 - 12:00
Mon, 2021-11-15 10:00 - 12:00
Mon, 2021-11-22 10:00 - 12:00
Mon, 2021-11-29 10:00 - 12:00
Mon, 2021-12-06 10:00 - 12:00
Mon, 2021-12-13 10:00 - 12:00
Mon, 2022-01-03 10:00 - 12:00
Mon, 2022-01-10 10:00 - 12:00
Mon, 2022-01-17 10:00 - 12:00
Mon, 2022-01-24 10:00 - 12:00
Mon, 2022-01-31 10:00 - 12:00
Mon, 2022-02-07 10:00 - 12:00
Mon, 2022-02-14 10:00 - 12:00