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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20161019T133527Z
DTSTART:20161020T151500Z
DTEND:20161020T164500Z
SUMMARY:Francis DiTraglia (University of Pennsylvania)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}e6p-itmr2rd
f-7njifi
DESCRIPTION:Title: Estimating the Effect of a Mis-measured\, Endogenous\,
Binary Treatment\n\nAbstract: This paper studies the use of a discrete
instrumental variable to identify the causal effect of an endogenous\, m
is-measured\, binary treatment. We begin by showing that the only existi
ng identification result for this case\, which appears in Mahajan (2006)
\, is incorrect. As such\, identification in this model remains an open
question. We first prove that the treatment effect is unidentified based
on conditional first-moment information\, regardless of the number of v
alues that the instrument may take. We go on to derive a novel partial i
dentification result based on conditional second moments that can be use
d to test for the presence of mis-classification and to construct simple
and informative bounds for the treatment effect. In certain special cas
es\, we can in fact obtain point identification of the treatment effect
based on second moment information alone. When this is not possible\, we
show that adding conditional third moment information point identifies
the treatment effect and the measurement error process.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
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