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Improved GMM estimation of random effects panel data models with spatially correlated error components

机译:具有空间相关误差分量的随机效应面板数据模型的改进GMM估计

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摘要

We modify a previously suggested GMM estimator in a spatial panel regression model, which has recently received considerable interest in empirical applications, by taking into account the difference between disturbances and regression residuals. Consistency and asymptotic normality of the estimator are derived. Analytic results, simulation evidence and an empirical application to Indonesian rice data illustrate the improvement in finite samples.
机译:我们通过考虑扰动和回归残差之间的差异,在空间面板回归模型中修改了先前建议的GMM估计量,该模型最近在经验应用中受到了广泛关注。推导了估计量的一致性和渐近正态性。分析结果,模拟证据和对印尼大米数据的经验应用说明了有限样本的改进。

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