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Covariate adjustment in experiments with matched pairs
Bai, Yuehao; Jiang, Liang; Romano, Joseph P.; Shaikh, … - In: Journal of econometrics 241 (2024) 1, pp. 1-17
Persistent link: https://www.econbiz.de/10015075147
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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
"fully-blocked" 2K factorial designs, which are simply matched tuples designs applied to a full factorial experiment …
Persistent link: https://www.econbiz.de/10015053066
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Covariate adjustment in stratified experiments
Cytrynbaum, Max - In: Quantitative economics : QE ; journal of the … 15 (2024) 4, pp. 971-998
This paper studies covariate adjusted estimation of the average treatment effect in stratified experiments. We work in a general framework that includes matched tuples designs, coarse stratification, and complete randomization as special cases. Regression adjustment with treatment‐covariate...
Persistent link: https://www.econbiz.de/10015189773
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Bootstrap inference for quantile treatment effects in randomized experiments with matched pairs
Jiang, Liang; Liu, Xiaobin; Phillips, Peter C. B.; … - 2020
Persistent link: https://www.econbiz.de/10012320627
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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
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Inference under covariate-adaptive randomization
Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2017
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/10011648910
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Inference under covariate-Adaptive randomization
Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2016
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/10011459651
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Direct and indirect effects under sample selection and outcome attrition
Huber, Martin; Solovyeva, Anna - In: Econometrics : open access journal 8 (2020) 4/44, pp. 1-25
outcomes are only partially observed due to sample selection or outcome attrition. We assume sequential conditional … missing at random or instrumental variable assumptions on the outcome attrition process. Under these conditions, we derive …
Persistent link: https://www.econbiz.de/10012404583
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Direct and indirect effects under sample selection and outcome attrition
Huber, Martin; Solovyeva, Anna - 2018
Persistent link: https://www.econbiz.de/10011923350
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Accounting for nonresponse heterogeneity in panel data
Inkmann, Joachim - 2001
heterogeneous unit nonresponse. Attrition or unit nonresponse in panel data usually renders parameter estimators inconsistent unless …The paper proposes a technique for the estimation of possibly nonlinear panel data models in the presence of … attrition process is conditionally mean independent of the variables of interest then the sample equivalents of the population …
Persistent link: https://www.econbiz.de/10011545161