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Parametric and semiparametric estimation of sample selection models : an empirical application to the female labour force in Portugal

机译:样本选择模型的参数和半参数估计:葡萄牙女性劳动力的经验应用

摘要

This comment corrects the errors in the estimation process that appear in Martins (2001). The first error is in the parametric probit estimation, as the previously presented results do not maximize the log-likelihood function. In the global maximum more variables become significant. As for the semiparametric estimation method, the kernel function used in Martins (2001) can take on both positive and negative values, which implies that the participation probability estimates may be outside the interval [0,1]. We have solved the problem by applying local smoothing in the kernel estimation, as suggested by Klein and Spady (1993).
机译:该评论纠正了Martins(2001)中估计过程中的错误。第一个错误是参数概率估计,因为先前提供的结果并未使对数似然函数最大化。在全局最大值中,更多变量变得很重要。至于半参数估计方法,Martins(2001)中使用的核函数可以同时具有正值和负值,这意味着参与概率估计可能在区间[0,1]之外。正如Klein和Spady(1993)所建议的,我们已经通过在核估计中应用局部平滑来解决了这个问题。

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  • 作者

    Coelho Danilo;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 eng
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