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pro vyhledávání: '"Basse, Guillaume"'
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by populati
Externí odkaz:
http://arxiv.org/abs/2103.00553
Autor:
Xu, Hui, Basse, Guillaume
Group-formation experiments, in which experimental units are randomly assigned to groups, are a powerful tool for studying peer effects in the social sciences. Existing design and analysis approaches allow researchers to draw inference from such expe
Externí odkaz:
http://arxiv.org/abs/2103.00567
Publikováno v:
In Journal of Econometrics January 2024 238(1)
Publikováno v:
Journal of Causal Inference, vol. 9, no. 1, 2021, pp. 264-284
The injunction to `analyze the way you randomize' is well-known to statisticians since Fisher advocated for randomization as the basis of inference. Yet even those convinced by the merits of randomization-based inference seldom follow this injunction
Externí odkaz:
http://arxiv.org/abs/2008.01029
Publikováno v:
Statistics and Public Policy, 9 (2022) 26-48
In studies of discrimination, researchers often seek to estimate a causal effect of race or gender on outcomes. For example, in the criminal justice context, one might ask whether arrested individuals would have been subsequently charged or convicted
Externí odkaz:
http://arxiv.org/abs/2006.12460
Autor:
Guo, Kevin, Basse, Guillaume
After performing a randomized experiment, researchers often use ordinary-least squares (OLS) regression to adjust for baseline covariates when estimating the average treatment effect. It is widely known that the resulting confidence interval is valid
Externí odkaz:
http://arxiv.org/abs/2004.11615
We consider the problem of combining data from observational and experimental sources to make causal conclusions. This problem is increasingly relevant, as the modern era has yielded passive collection of massive observational datasets in areas such
Externí odkaz:
http://arxiv.org/abs/2002.06708
Autor:
Basse, Guillaume, Bojinov, Iavor
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models --- roughly, a parameter $\theta$ in a model $\mathcal{P} = \{P_\theta: \theta \in \Th
Externí odkaz:
http://arxiv.org/abs/2002.06041
Interference exists when a unit's outcome depends on another unit's treatment assignment. For example, intensive policing on one street could have a spillover effect on neighboring streets. Classical randomization tests typically break down in this s
Externí odkaz:
http://arxiv.org/abs/1910.10862
Randomized experiments are the gold standard for estimating the causal effects of an intervention. In the simplest setting, each experimental unit is randomly assigned to receive treatment or control, and then the outcomes in each treatment arm are c
Externí odkaz:
http://arxiv.org/abs/1908.03531