Methods to Identify Causal Effects. Theory and Applications
From June 15th to 18th, professor Sascha O. Becker (University of Stirling, UK) will teach a course of 12 hours.
The course will be taught in Spanish, is free of charge and is designed for social scientists (both professors and doctoral students) who are interested in improving their knowledge in statistical techniques of causal analysis. To participate in the course, an intermediate level of statistics is required.
All classes are from 10:00 to 13:00Those interested in attending the course should contact Magdalena Nebreda (firstname.lastname@example.org) prior to May 29th, and provide a CV and a brief explanation for their interest in the course. A selection process will be adopted if a large number of applications is received: selection results will be notified before June 4th.
10:00-11:30: Lecture 1: Conventional Methods to Estimate Causal Effects
11:45-13:15: Lecture 2: The Angrist-Imbens-Rubin Approach (LATE-IV)
16:00-18:00: Stata session 1
Tuesday, 16th June:
10:00-11:30: Lecture 3: Matching Methods for the Estimation of Causal Effects I
11:45-13:15: Lecture 4: Matching methods for the Estimation of Causal Effects II
16:00-18:00: Stata session 2
Wednesday, 17th June:
10:00-12:00: Lecture 5: Regression Discontinuity Design (RDD)