Recent Developments in Impact Evaluation: Differences in Differences Designs
Difference-in-Differences (DiD) methods are widely used in the estimation of causal effects of policy interventions in the social and medical sciences. At their core, DiD methods leverage the fact that units are exposed to treatment at different points in time (or never exposed). Consequently, researchers can recover an average treatment effect by comparing outcomes from different treatment cohorts, before and after they have been exposed to treatment. A major advantage of using the DiD framework is that we can account for time trends and (time-invariant) unobserved heterogeneity when recovering causal effects.
Organize
Addressed to
This course is designed for graduate and advanced undergraduate students of economics and statistics, applied researchers, and professors in economics and statistics. Economists interested in updating their econometric knowledge are also welcome.
Objetivos
This seminar offers a thorough introduction to classical and modern Difference-in-Differences methods. The main goal of this course is to enable researchers to get closer to the DiD research frontier.
- To develop a depth understanding of the canonical two-periods, two-groups DiD.
- To explore the role of covariates in DiD setups.
- To introduce the recent methods of DiD with variation in treatment timing.
- To study the design-based inference in DiD settings.
At the end of the seminar, we expect that you should be comfortable and confident in using DiD methods to tackle your own research questions.
Methodology
Each lecture session will conclude with a hands-on exercise reviewing the content covered, to be completed on your own. Additional lab sessions will be held during the course, where you can review the exercise results with the instructor and ask any questions.
Program Benefits
Applied researchers and students will be exposed to the frontier of differences in differences methods, an area that have witnessed a wave of recent developments. The DID method is one of the most important tools for applied researchers and Pedro Sant’Anna is one of the lending scholars in the field.
Speaker
Schedule
Dates: From 8 November to 16 November, 2021
Schedule: - Monday November 8, from 10:00a.m. to 1:00p.m.
- Wednesday November 10, from 10:00a.m. to 1:00p.m.
- Friday November 12, from 10:00a.m. to 1:00p.m.
- Saturday November 13, from 10:00a.m. to 2:00p.m.
- Monday November 15, from 8 November to 16 November, 2021.
- Tuesday November 16, from 10:00a.m. to 1:00p.m.
Venue: Remote access
Intensity: 16 hours
Faculty or School: Facultad de Economía
Credits:
Undergraduate:
2 academic credits
Note: the student must have taken the course Basic Econometrics.
Postgraduate:
2 academic credits in:
- Master in Economics.
- Master in Economics of Public Policy.
- PhD in Economics.
As an elective course.
Note: All students will be able to do a practical work to receive a digital badge and to approve the credits.
Language: English
Fees: $1. 865.000 COP - 495 USD (approx.)
Discounts:
UR Community: 10%
International Community: 10%
Remote Classes: 10%
Early bird discount: 10% (until Oct 24, 2021)
Organizing committee
Stanislao Humberto Maldonado Zambrano, professor of career in economics faculty
Maria Alejandra Nino Quintero coordinator of the financial laboratory and extension, Universidad del Rosario.
The potential outcome framework
Sesión 1
Review of basic statistical inference
08/11/2021
*La Universidad del Rosario se reserva el derecho de cambiar o modificar el contenido y/o profesores del curso.