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DTSTART:19701025T020000
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DTSTAMP:20261002T160903Z
DTSTART;TZID=Europe/London:20220322T111500
DTEND;TZID=Europe/London:20220322T123000
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SUMMARY:School of Economics and Finance Seminar
DESCRIPTION:Speaker: Professor Margherita Fort, University of Bologna    Abstract: In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest (or lowest) value of the score, until exhaustion. Exploiting the "within" variability at each cutoff is the safest and likely efficient option. Alternative strategies exist, but they do not always guarantee identification of a mean- ingful causal effect and are less precise. To illustrate our findings, we revisit the study of Pop-Eleches and Urquiola (2013). https://events.st-andrews.ac.uk/events/multi-cutoff-rd-designs-with-observations-located-at-each-cu/
LOCATION:Online
URL:https://events.st-andrews.ac.uk/events/multi-cutoff-rd-designs-with-observations-located-at-each-cu/
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