Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Coey, Dominic"'
We study experimentation under endogenous network interference. Interference patterns are mediated by an endogenous graph, where edges can be formed or eliminated as a result of treatment. We show that conventional estimators are biased in these circ
Externí odkaz:
http://arxiv.org/abs/2410.09267
Autor:
Coey, Dominic, Hung, Kenneth
We study the problem of selecting the best $m$ units from a set of $n$ as $m / n \to \alpha \in (0, 1)$, where noisy, heteroskedastic measurements of the units' true values are available and the decision-maker wishes to maximize the average true valu
Externí odkaz:
http://arxiv.org/abs/2210.03905
We consider the problem of variance reduction in randomized controlled trials, through the use of covariates correlated with the outcome but independent of the treatment. We propose a machine learning regression-adjusted treatment effect estimator, w
Externí odkaz:
http://arxiv.org/abs/2106.07263
Publikováno v:
The American Economic Review, 2020 Dec 01. 110(12), 3748-3785.
Externí odkaz:
https://www.jstor.org/stable/26966479
Publikováno v:
The RAND Journal of Economics, 2019 Apr 01. 50(1), 93-120.
Externí odkaz:
https://www.jstor.org/stable/45147393
Publikováno v:
American Economic Journal: Microeconomics, 2013 Feb 01. 5(1), 1-27.
Externí odkaz:
https://www.jstor.org/stable/23358349
Akademický článek
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Publikováno v:
Quantitative Economics. Mar2017, Vol. 8 Issue 1, p181-200. 20p.
Autor:
Coey, Dominic1
Publikováno v:
Quantitative Economics. Nov2015, Vol. 6 Issue 3, p703-748. 46p.
Publikováno v:
NBER Working Papers; 2/29/2016, p1-70, 70p