This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged outcome, additional observed regressors and an unobserved unit-specific effect. It is shown that with two consecutive periods of data identification is not possible (in a neighborhood of zero), even in the logistic case.

中文翻译：

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动态二元选择模型中的识别

本文研究了二元选择面板数据模型中的识别，其选择概率取决于滞后结果、额外观察到的回归量和未观察到的单位特定效应。结果表明，即使在逻辑情况下，两个连续的数据周期识别也是不可能的（在零附近​​）。