Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice
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DOI：
10.1111/1468-2354.t01-1-00074
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发表时间：
2003-05-01
影响因子：
1.5
通讯作者：
Heckman, JJ
中科院分区：
文献类型：
--
作者：
Carneiro, P;Hansen, KT;Heckman, JJ
本文使用因子模型来识别和估计反事实的分布。我们将LISREL框架扩展到动态治疗效果设置，扩展匹配以考虑未观察到的条件变量。使用这些模型，我们可以识别所有成对和联合治疗效应。我们将这些方法应用于学校教育的模型，并确定代理人在做出入学决定时所面临的内在不确定性。我们在评估教育政策时超越了“无知的面纱”，并确定谁从共同提出的教育改革中受益，谁会受到损失。
This article uses factor models to identify and estimate the distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment effects. We apply these methods to a model of schooling and determine the intrinsic uncertainty facing agents at the time they make their decisions about enrollment in school. We go beyond the "Veil of Ignorance" in evaluating educational policies and determine who benefits and who loses from commonly proposed educational reforms.