Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (3/13).
The speaker is* Mathias Sinning *(Australian National University) who will
be presenting his work, "Estimating Quantiles of the Distribution of
Treatment Effects".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, March 13th at 12 noon - 1:30 pm.
*Abstract: *
This paper proposes an approach to estimate quantiles of the distribution
of treatment effects under the identifying assumption that treatment
assignment is based on observed characteristics. We use a matching
approach to derive the distribution of treatment effects from differences
in outcomes between matched treatment and control units. Our parameters of
interest may be interpreted as generalized versions of the quantile
treatment effect (QTE) and the quantile treatment effect on the treated
(QTT), which can be identified without imposing a rank preservation
assumption. We prove consistency and asymptotic normality of our estimators
and show that replacing the variances with estimated variances does not
affect the asymptotic distributions. We apply the approach to study the
effects of a job training program on earnings. We find that while the
average treatment effect on the treated is positive, about 40% of
individuals in the treatment group have significantly lower earnings than
comparable individuals in the control group.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-CU8HWrQPpe9pjTw/viewform?usp=sf_link>.
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