REPEST: Stata module to run estimations with weighted replicate samples and plausible values
REPEST: Stata module to run estimations with weighted replicate samples and plausible values
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REPEST：Stata 模块，用于使用加权重复样本和合理值进行估计
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
François Keslair
中科院分区：
文献类型：
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作者：
Francesco Avvisati;François Keslair
REPEST使用重复权重（平衡的重复复制或BRR权重、折刀式重复权重等）估计统计量，从而在估计抽样方差时考虑到复杂的调查设计。它是专门设计用于与比萨，PIAAC和TALIS数据集由经合组织制作。它还允许使用多重插补变量（合理值）进行分析;如果使用合理值，则报告合理值的平均估计值，并将插补误差添加到方差估计值中。
repest estimates statistics using replicate weights (balanced repeated replication or brr weights, jackknife replicate weights,...), thus accounting for complex survey designs in the estimation of sampling variances. It is specially designed to be used with the PISA, PIAAC and TALIS datasets produced by the OECD. It also allows for analyses with multiply imputed variables (plausible values); where plausible values are used, the average estimator across plausible values is reported and the imputation error is added to the variance estimator.