Methods Masterclass: Causal inference in the social sciences
Methods Masterclass: Causal inference in the social sciences
Additional information: Koidu Saia, Koidu.Saia@tlu.ee
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iCal calendarInstructor: Ben Wilson Stockholm University and London School of Economics ben.wilson@sociology.su.se
Language: English
Software: Stata and R
TIMETABLE
Day 1 (at 9:30-13:30 room M-552; at 14:30-17:00 room S-338)
09:30 Welcome coffee and registration
10:00 Lecture 1a: A methodological framework for causal inference Overview of the course and introduction to potential outcomes Lecture 1b: Causal inference under randomization An advanced understanding of randomization
11:30 Coffee and tea break
12:00 Lecture 2: Selection on observables Methods for matching, including the propensity score
13:30 - 14.30 Lunch (self-organized)
14:30 Seminar 1: Understanding the strengths and weaknesses of experiments Analysis and interpretation of experimental data Seminar 2: Using matching to approximate the results of experiments Analysis of experimental data using matching and regression ATE versus ATET
16:00 Review of the day
17:00 Close
Day 2 (at 9:30-13:30 room M-552; at 14:30-17:00 room S-338)
09:30 Welcome and welcome coffee
10:00 Lecture 3: Difference-in-difference (DID) and fixed effects Moving beyond selection on observables
11:30 Coffee and tea break
12:00 Lecture 4: Instrumental variables (IV) Understanding LATE, the local average treatment effect
13:30 - 14:30 Lunch (self-organized)
14:30 Seminar 3: Understanding difference-in-difference Analysis and critique of fixed effects and DID
16:00 Review of the day
17:00 Close
Day 3 (at 9:30-13:30 room M-552; at 14:30-17:00 room S-338)
09:30 Welcome coffee and registration
10:00 Lecture 5: Regression discontinuity design (RDD) Causal inference around a threshold
11:30 Coffee and tea break
12:00 Lecture 6: Causal mediation and other advanced topics What is causal mediation? Further topics and useful resources
13:30 - 14:30 Lunch (self-organized)
14:30 Seminar 4: Comparison of causal inference methods Analysis of the difference between experiments, IV, DID, and regression
16:00 Review of the day
16:30 Review of the course
17:00 Close
Additional information: Koidu Saia, Koidu.Saia@tlu.ee, tel 6199 944
Activity is financed by the European Regional Development Fund through the institutional package measure for R&D institutions and higher education institutions (ASTRA project TLU TEE of Tallinn University) and is organised by Doctoral School of Behavioural, Social and Health Sciences