GENERALIZING THE RESULTS FROM SOCIAL EXPERIMENTS : THEORY AND EVIDENCE FROM MEXICO AND INDIA
GENERALIZING THE RESULTS FROM SOCIAL EXPERIMENTS : THEORY AND EVIDENCE FROM MEXICO AND INDIA
复制标题
社会实验结果的概括：来自墨西哥和印度的理论和证据
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Michael Gechter
中科院分区：
文献类型：
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作者：
Michael Gechter
Michael Gechter 1在一个地区或时间段估计的治疗效果对另一个地区或时间的信息量有多大？在本文中，我得出的平均治疗效果的范围内的背景下的利益，使用实验证据从另一个方面。边界提供了鲁棒性，对未观察到的治疗效果调节剂的可能性，其分布在不同的情况下。从经验上讲，我使用的结果，从实验的回报，现金转移给微型企业家在莱昂，墨西哥来预测平均回报在其他墨西哥城市的微型企业家。我表明，从文献中的基准外推法产生令人难以置信的精确预测其他城市考虑非常小的实验样本。使用的数据从一对补救教育实验在印度进行，我的界限是能够恢复平均治疗效果在一个位置使用的结果从其他基准方法不能。
Michael Gechter1 How informative are treatment effects estimated in one region or time period for another region or time? In this paper, I derive bounds on the average treatment effect in a context of interest using experimental evidence from another context. The bounds provide robustness against the possibility of unobserved treatment effect moderators whose distribution differs across contexts. Empirically, I use results from an experiment on returns to cash transfers given to microentrepreneurs in Leon, Mexico to predict average returns among microentrepreneurs in other Mexican cities. I show that the benchmark extrapolation method from the literature yields implausibly precise predictions for other cities considering the very small experimental sample. Using data from a pair of remedial education experiments carried out in India, I show the bounds are able to recover average treatment effects in one location using results from the other while the benchmark method cannot.
影响因子：
5
作者：
Cole, Stephen R.;Stuart, Elizabeth A.
通讯作者：
Stuart, Elizabeth A.