ALTERNATIVE METHODS FOR EVALUATING THE IMPACT OF INTERVENTIONS - AN OVERVIEW
ALTERNATIVE METHODS FOR EVALUATING THE IMPACT OF INTERVENTIONS - AN OVERVIEW
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DOI：
10.1016/0304-4076(85)90139-3
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发表时间：
1985-10-01
影响因子：
6.3
通讯作者：
ROBB, R
中科院分区：
文献类型：
--
作者：
HECKMAN, JJ;ROBB, R
本文提出了在非随机选择的情况下，估计培训对收入影响的方法。我们探讨了横截面、重复横截面和纵向数据的好处，通过考虑使用各种新的和传统的估计器所需的假设来解决这个问题，并给出了各种常见的数据类型。我们调查假设的合理性，需要证明计量经济学程序时，在原型的决策规则，决定入职培训的光。我们检验了估计器对基于选择的抽样和污染偏差的鲁棒性。
This paper presents methods for estimating the impact of training on earnings when non-random selection characterizes the enrollment of persons into training. We explore the benefits of cross-section, repeated cross-section and longitudinal data for addressing this problem by considering the assumptions required to use a variety of new and conventional estimators given access to various commonly encountered types of data. We investigate the plausibility of assumptions needed to justify econometric procedures when viewed in the light of prototypical decision rules determining enrollment into training. We examine the robustness of the estimators to choice-based sampling and contamination bias.