BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Spillover Effects in Cluster Randomized Trials with Noncompliance 
 - Hyunseung Kang\, University of Wisconsin
DTSTART:20200501T130000Z
DTEND:20200501T140000Z
UID:TALK140248@talks.cam.ac.uk
CONTACT:Dr Sergio Bacallado
DESCRIPTION:Cluster randomized trials (CRTs) are popular in public health 
 and in the social sciences to evaluate a new treatment or policy where the
  new policy is randomly allocated to clusters of units rather than individ
 ual units. CRTs often feature both noncompliance\, when individuals within
  a cluster are not exposed to the intervention\, and individuals within a 
 cluster may influence each other through treatment spillovers where those 
 who comply with the new policy may affect the outcomes of those who do not
 . Here\, we study the identification of causal effects in CRTs when both n
 oncompliance and treatment spillovers are present. We prove that the stand
 ard analysis of CRT data with noncompliance using instrumental variables d
 oes not identify the usual complier average causal effect when treatment s
 pillovers are present. We extend this result and show that no analysis of 
 CRT data can unbiasedly estimate local network causal effects. Finally\, w
 e develop bounds for these causal effects under the assumption that the tr
 eatment is not harmful compared to the control. We demonstrate these resul
 ts with an empirical study of a deworming intervention in Kenya.\n\nThis i
 s joint work with Luke Keele (University of Pennsylvania)
LOCATION:Zoom Meeting https://zoom.us/j/98898559684?pwd=MTZ2Q1dvUUZucDdwUX
 ZVVUp1VjhsQT09  Meeting ID: 988 9855 9684 Password: likelihood
END:VEVENT
END:VCALENDAR