Convergence in panel data: Evidence from the skipping estimation
Convergence in panel data: Evidence from the skipping estimation
复制标题
面板数据的收敛：来自跳跃估计的证据
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
Etsuro Shioji
中科院分区：
文献类型：
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作者：
Etsuro Shioji
本文证明，不同于传统的智慧说，测量误差偏差的面板数据估计收敛使用OLS固定效应是巨大的，而不是微不足道的。它通过“跳跃估计”的方式来做到这一点：从样本的每m年（其中m是大于或等于2的整数）中获取数据，而不是每一年。结果表明，估计的收敛速度从OLS与固定的影响是有偏向上高达7至15%。
This paper demonstrates that, unlike what the conventional wisdom says, measurement error biases in panel data estimation of convergence using OLS with fixed effects are huge, not trivial. It does so by way of the "skipping estimation"': taking data from every m years of the sample (where m is an integer greater than or equal to 2), as opposed to every single year. It is shown that the estimated speed of convergence from the OLS with fixed effects is biased upwards by as much as 7 to 15%.