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SUMMARY:Causal Inference With Instrumental Variables - Hyunseung Kang (Uni
 versity of Wisconsin-Madison)
DTSTART:20260120T090000Z
DTEND:20260120T100000Z
UID:TALK241774@talks.cam.ac.uk
DESCRIPTION:In observational studies\, ignorability or conditional exchang
 eability is often an untenable assumption because of unmeasured confounder
 s\, pre-treamtent variables that affect both the treatment and the outcome
 . In this lecture\, we discuss one of the most popular approaches to ident
 ify causal effects when ignorability fails: instrumental variables (IVs). 
 Briefly\, IVs require finding a variable \, called an instrument\, that sa
 tisfy certain assumptions. We cover two ways to formalize these assumption
 s\, one based on monotonicity and another based on no additive interaction
 s.
LOCATION:Seminar Room 1\, Newton Institute
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