摘要翻译：
我们在尼日利亚社区使用一个群随机对照试验(RCT)来研究旨在改善卫生设施的社区一级信息干预的有效性。这项干预措施，即社区主导的全面卫生(CLTS)，目前已成为超过25个国家的国家卫生政策的一部分。虽然在大规模实施近三年后，平均影响很小，但结果隐藏了重要的异质性：干预措施对较贫穷社区的卫生做法产生了强烈和持久的影响。这些都是通过增加卫生投资来实现的。我们表明，在二级数据中广泛可用的社区财富是有效干预目标的关键统计数据。利用其他五个类似的随机干预在不同背景下的数据，我们发现社区水平的财富异质性可以使文献中广泛的影响估计合理化。这项工作为我们的发现提供了看似合理的外部有效性，并对干预规模的扩大产生了影响。JEL代码:O12，I12，I15，I18。
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英文标题：
《Community Matters: Heterogeneous Impacts of a Sanitation Intervention》
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作者：
Laura Abramovsky (1), Britta Augsburg (1), Melanie L\"uhrmann (2 and
  1), Francisco Oteiza (3), Juan Pablo Rud (2 and 1) ((1) Centre for the
  Evaluation of Social Policies (EDePo) Institute for Fiscal Studies, (2) Royal
  Holloway Department of Economics, (3) UCL Institute of Education)
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最新提交年份：
2020
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  We study the effectiveness of a community-level information intervention aimed at improving sanitation using a cluster-randomized controlled trial (RCT) in Nigerian communities. The intervention, Community-Led Total Sanitation (CLTS), is currently part of national sanitation policy in more than 25 countries. While average impacts are exiguous almost three years after implementation at scale, the results hide important heterogeneity: the intervention has strong and lasting effects on sanitation practices in poorer communities. These are realized through increased sanitation investments. We show that community wealth, widely available in secondary data, is a key statistic for effective intervention targeting. Using data from five other similar randomized interventions in various contexts, we find that community-level wealth heterogeneity can rationalize the wide range of impact estimates in the literature. This exercise provides plausible external validity to our findings, with implications for intervention scale-up. JEL Codes: O12, I12, I15, I18.
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PDF链接：
https://arxiv.org/pdf/1901.03544