Matching and Weighting for Causal Inference with R

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Date(s) - 01/14/2021 - 01/16/2021
10:00 am - 5:00 pm


This course offers an in-depth introduction to matching and weighting methods using the R package. Matching and weighting are quasi-experimental techniques for estimating causal effects from observational data using the potential outcomes or counterfactual framework. They are often (but not always) based on propensity scores. These techniques are now widely used in the social sciences, health sciences, management and public policy.

Starting January 14, we are offering this seminar as a 3-day synchronous*, remote workshop. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

The course runs from Thursday, January 14, 2021 – Saturday, January 16, 2021.

Each day will follow this schedule:

10:00am-2:00pm ET: Live lecture via Zoom

4:00pm-5:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)


You can view the seminar outline and more information on the event page here.

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