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The asymptotic distribution of the F-test statistic for individual effects

机译:个体效应的F检验统计量的渐近分布

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This paper employs first-order asymptotic theory in order to establish the asymptotic distribution of the F-test statistic for fixed effects, under non-normality of the errors, when N → ∞ (the number of cross-sections) and T is fixed (the number of time periods). Three theoretical results emerge: (ⅰ) the standard F-test procedure will still deliver asymptotically valid inferences; (ⅱ) under (pure) local random effects, the F-test and random effects test procedures have identical asymptotic power; (ⅲ) under local fixed, or random effects which are correlated with the regressors, the F-test will have higher asymptotic power than the random effects test.
机译:本文采用一阶渐进理论来建立固定检验的F检验统计量的渐近分布,当误差为非正态性时,当N→∞(横截面数)且T固定(时间段数)。出现三个理论结果:(ⅰ)标准F检验程序仍将提供渐近有效的推论; (ⅱ)在(纯)局部随机效应下,F检验和随机效应检验程序具有相同的渐近功效; (ⅲ)在与回归变量相关的局部固定或随机效应下,F检验的渐近功效高于随机效应检验。

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