A Combinatorial Central Limit Theorem for Stratified Randomization

Fuente: arXiv
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Main Author: Tuvaandorj, Purevdorj
Format: Preprint
Published: 2024
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author Tuvaandorj, Purevdorj
author_facet Tuvaandorj, Purevdorj
contents This paper establishes a combinatorial central limit theorem for stratified randomization, which holds under a Lindeberg-type condition. The theorem allows for an arbitrary number or sizes of strata, with the sole requirement being that each stratum contains at least two units. This flexibility accommodates both a growing number of large and small strata simultaneously, while imposing minimal conditions. We then apply this result to derive the asymptotic distributions of two test statistics proposed for instrumental variables settings in the presence of potentially many strata of unrestricted sizes.
format Preprint
id arxiv_https___arxiv_org_abs_2402_14764
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Combinatorial Central Limit Theorem for Stratified Randomization
Tuvaandorj, Purevdorj
Statistics Theory
Econometrics
This paper establishes a combinatorial central limit theorem for stratified randomization, which holds under a Lindeberg-type condition. The theorem allows for an arbitrary number or sizes of strata, with the sole requirement being that each stratum contains at least two units. This flexibility accommodates both a growing number of large and small strata simultaneously, while imposing minimal conditions. We then apply this result to derive the asymptotic distributions of two test statistics proposed for instrumental variables settings in the presence of potentially many strata of unrestricted sizes.
title A Combinatorial Central Limit Theorem for Stratified Randomization
topic Statistics Theory
Econometrics
url https://arxiv.org/abs/2402.14764