Training

Methods Masterclass: Causal inference in the social sciences

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Methods Masterclass: Causal inference in the social sciences

 

Additional information: Koidu Saia, Koidu.Saia@tlu.ee

Methods Masterclass: Causal inference in the social sciences

University

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Instructor: Ben Wilson Stockholm University and London School of Economics ben.wilson@sociology.su.se http://www.socialdemography.net/

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

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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