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Inference for matched tuples and fully blocked factorial designs

Bai, Yuehao; Liu, Jizhou; Tabord-Meehan, Max - In: Quantitative economics : QE ; journal of the … 15 (2024) 2, pp. 279-330

This paper studies inference in randomized controlled trials with multiple treatments, where treatment status is determined according to a "matched tuples" design. If there are |D| possible treatments, then by a matched tuples design, we mean an experimental design where units are sampled i.i.d....

Persistent link: https://www.econbiz.de/10015053066

Contamination Bias in Linear Regressions

Goldsmith-Pinkham, Paul; Hull, Peter; Kolesár, Michal - National Bureau of Economic Research - 2022

treatments are conditionally randomly assigned and the controls are sufficiently flexible to avoid omitted variables bias … treatments. Thus, recent concerns about heterogeneity-induced bias in regressions leveraging potential outcome restrictions (e … contamination bias and propose a new class of efficient estimators of weighted average effects that avoid bias. In a re-analysis of …

Persistent link: https://www.econbiz.de/10013334327

Still biased? a remaining classical selection problem of rcts in education

Kawarazaki, Hikaru; Mahmud, Minhaj Uddin; Sawada, Yasuyuki - 2022

Persistent link: https://www.econbiz.de/10013342247

Inference under covariate-adaptive randomization

Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2015

This paper studies inference for the average treatment effect in randomized controlled trials with covariate-adaptive randomization. Here, by covariate-adaptive randomization, we mean randomization schemes that first stratify according to baseline covariates and then assign treatment status so...

Persistent link: https://www.econbiz.de/10011309722

Inference under covariate-Adaptive randomization

Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2016

Persistent link: https://www.econbiz.de/10011459651

Inference under covariate-adaptive randomization

Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2017

Persistent link: https://www.econbiz.de/10011648910

Inference in experiments with matched pairs

Bai, Yuehao; Romano, Joseph P.; Shaikh, Azeem M. - 2019

This paper studies inference for the average treatment effect in randomized controlled trials where treatment status is determined according to a "matched pairs" design. By a "matched pairs" design, we mean that units are sampled i.i.d. from the population of interest, paired according to...

Persistent link: https://www.econbiz.de/10011997352