Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Shaikh, Azeem"'
We review approaches to statistical inference based on randomization. Permutation tests are treated as an important special case. Under a certain group invariance property, referred to as the ``randomization hypothesis,'' randomization tests achieve
Externí odkaz:
http://arxiv.org/abs/2406.09521
In the context of a binary outcome, treatment, and instrument, Balke and Pearl (1993, 1997) establish that the monotonicity condition of Imbens and Angrist (1994) has no identifying power beyond instrument exogeneity for average potential outcomes an
Externí odkaz:
http://arxiv.org/abs/2405.14104
The past two decades have witnessed a surge of new research in the analysis of randomized experiments. The emergence of this literature may seem surprising given the widespread use and long history of experiments as the "gold standard" in program eva
Externí odkaz:
http://arxiv.org/abs/2405.03910
It is common to rank different categories by means of preferences that are revealed through data on choices. A prominent example is the ranking of political candidates or parties using the estimated share of support each one receives in surveys or po
Externí odkaz:
http://arxiv.org/abs/2402.00192
Autor:
Chetverikov, Denis, Mogstad, Magne, Morgen, Pawel, Romano, Joseph, Shaikh, Azeem, Wilhelm, Daniel
This article introduces the R package csranks for estimation and inference involving ranks. First, we review methods for the construction of confidence sets for ranks, namely marginal and simultaneous confidence sets as well as confidence sets for th
Externí odkaz:
http://arxiv.org/abs/2401.15205
This paper studies the use of finely stratified designs for the efficient estimation of a large class of treatment effect parameters that arise in the analysis of experiments. By a "finely stratified" design, we mean experiments in which units are di
Externí odkaz:
http://arxiv.org/abs/2307.15181
This paper studies inference for the local average treatment effect in randomized controlled trials with imperfect compliance where treatment status is determined according to "matched pairs." By "matched pairs," we mean that units are sampled i.i.d.
Externí odkaz:
http://arxiv.org/abs/2307.13094
This paper studies inference on the average treatment effect in experiments in which treatment status is determined according to "matched pairs" and it is additionally desired to adjust for observed, baseline covariates to gain further precision. By
Externí odkaz:
http://arxiv.org/abs/2302.04380
This paper studies inference in cluster randomized trials where treatment status is determined according to a "matched pairs" design. Here, by a cluster randomized experiment, we mean one in which treatment is assigned at the level of the cluster; by
Externí odkaz:
http://arxiv.org/abs/2211.14903
This paper considers the problem of inference in cluster randomized experiments when cluster sizes are non-ignorable. Here, by a cluster randomized experiment, we mean one in which treatment is assigned at the cluster level. By non-ignorable cluster
Externí odkaz:
http://arxiv.org/abs/2204.08356