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Marginal effects and significance testing with Heckman's sample selection model: a methodological note

机译:使用Heckman的样本选择模型进行边际效应和显着性检验:方法论注释

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摘要

This article illustrates two techniques for calculating the statistical significance of the marginal effects derived from Heckman's sample selection model, an increasingly common econometric specification in economics and political science. The discussion draws on an analysis by Sweeney (2003) of the incidence and intensity of interstate disputes. After replicating his results, the article presents the delta method and the nonparametric bootstrap as alternative techniques for obtaining SEs of the marginal effects, which themselves are calculated from a transformation of the model parameters. The analysis reveals two variables for which misleading inferences are drawn with respect to the precision of the estimated coefficients in the original study, suggesting that significance testing of the derived marginal effects is warranted.
机译:本文说明了两种技术,这些技术可用于计算从Heckman的样本选择模型(经济学和政治学中一种日益常见的计量经济学规范)得出的边际效应的统计显着性。讨论基于Sweeney(2003)对州际争端的发生率和强度的分析。复制他的结果之后,本文提出了增量法和非参数引导程序,作为获取边际效应SE的替代技术,这些边际SE本身是通过模型参数的转换来计算的。该分析揭示了两个变量,在原始研究中就估计系数的精度得出了误导性推断的两个变量,这表明有必要对得出的边际效应进行显着性检验。

著录项

  • 来源
    《Applied Economics Letters》 |2009年第14期|1415-1419|共5页
  • 作者

    Colin Vance;

  • 作者单位

    Rheinisch-Westflisches Institut fr Wirtschaftsforschung (RWI Essen), Essen, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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