估计员
罗伊特
普罗比特
数学
应用数学
刀切重采样
推论
非线性系统
泊松分布
Probit模型
托比模型
统计
计量经济学
算法
计算机科学
人工智能
物理
量子力学
作者
Iván Fernández‐Val,Martin Weidner
标识
DOI:10.1016/j.jeconom.2015.12.014
摘要
We derive fixed effects estimators of parameters and average partial effects in (possibly dynamic) nonlinear panel data models with individual and time effects. They cover logit, probit, ordered probit, Poisson and Tobit models that are important for many empirical applications in micro and macroeconomics. Our estimators use analytical and jackknife bias corrections to deal with the incidental parameter problem, and are asymptotically unbiased under asymptotic sequences where N/T converges to a constant. We develop inference methods and show that they perform well in numerical examples.
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