A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a Root-N Consistent Conditional Estimator

F. Bartolucci, V. Nigro
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引用次数: 49

Abstract

A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of available covariates. The model is of quadratic exponential type and its structure closely resembles that of the dynamic logit model. However, it has the advantage of being easily estimable via conditional likelihood with at least two observations (further to an initial observation) and even in the presence of time dummies among the regressors. Copyright 2010 The Econometric Society.
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具有不可观测异质性的二元面板数据的动态模型承认根n一致条件估计
介绍了一个二元面板数据模型,该模型允许状态依赖和未观察到的异质性超出可用协变量的影响。该模型为二次指数型,其结构与动态logit模型非常相似。然而,它的优点是很容易通过至少两个观测值(进一步到初始观测值)的条件似然来估计,甚至在回归量中存在时间假人的情况下。经济计量学会版权所有。
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