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摘要翻译：
我们提出了Stata命令probitfe和logitfe，它们估计具有个体和/或时间未观察到的影响的probit和logit面板数据模型。由于附带参数问题，估计未观测效应的固定效应面板数据方法可能存在严重偏差（Neyman和Scott，1948)。我们通过使用Fernandez-Val和Weidner(2016)中导出的分析和折刀偏差修正来解决这个问题，用于二维($N$和$T$)中等大的面板。我们用一个国际贸易的经验应用和一个蒙特卡罗模拟来说明这些命令。
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英文标题：
《probitfe and logitfe: Bias corrections for probit and logit models with
two-way fixed effects》
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作者：
Mario Cruz-Gonzalez, Ivan Fernandez-Val, and Martin Weidner
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最新提交年份：
2017
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分类信息：
一级分类：Statistics 统计学
二级分类：Methodology 方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
We present the Stata commands probitfe and logitfe, which estimate probit and logit panel data models with individual and/or time unobserved effects. Fixed effect panel data methods that estimate the unobserved effects can be severely biased because of the incidental parameter problem (Neyman and Scott, 1948). We tackle this problem by using the analytical and jackknife bias corrections derived in Fernandez-Val and Weidner (2016) for panels where the two dimensions ($N$ and $T$) are moderately large. We illustrate the commands with an empirical application to international trade and a Monte Carlo simulation calibrated to this application.
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PDF链接：
https://arxiv.org/pdf/1610.07714
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