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On randomization-based causal inference for matched-pair factorial designs

Jiannan Lu and Alex Deng

Statistics & Probability Letters, 2017, vol. 125, issue C, 99-103

Abstract: Under the potential outcomes framework, we introduce matched-pair factorial designs, and propose the matched-pair estimator of the factorial effects. We also calculate the randomization-based covariance matrix of the matched-pair estimator, and provide the “Neymanian” estimator of the covariance matrix.

Keywords: Experimental design; Factorial effect; Precision; Potential outcome (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:eee:stapro:v:125:y:2017:i:c:p:99-103