非等间隔动态面板数据模型：基于半差分的估计方法和应用

本文提出了非等间隔动态面板数据模型的估计方法，包括非线性最小二乘和最短距离估计法以及这两种估计方法的一步估计量，并且证明了这几个估计量的一致性和渐进正态性。我们使用数值模拟的方法验证了这些估计在有限样本中的估计精度，并且将这四种估计方法应用于实际的问题当中，最终得到了与以往的文献基本一致的估计结果。

The Unequally Spaced Dynamic Panel Data Model:Estimation and Applications

This paper provided nonlinear least squares, minimum distance and their one-step estimators for the unequally spaced dynamic panel data models with establishing their consistencies as well as asymptotic normality. The simulation study corroborates the results in the case of finite sample. We also apply these estimators to the real world problems, and the estimation results are basically consistent with the previous literature finally.