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摘要翻译：
一些实证结果比其他结果更有可能被公布。这种选择性的发表导致有偏见的估计和歪曲的推断。本文提出了两种识别发表条件概率的方法，一种是基于系统复制研究的方法，另一种是基于元研究的方法。对于已知的条件发布概率，我们提出了修正选择性发布的中值无偏估计量和相关的置信度集。我们将我们的方法应用于实验经济学和心理学中最近的大规模复制研究，以及最低工资和驱虫计划效果的元研究。
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英文标题：
《Identification of and correction for publication bias》
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作者：
Isaiah Andrews, Maximilian Kasy
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最新提交年份：
2017
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分类信息：
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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英文摘要：
Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches for identifying the conditional probability of publication as a function of a study's results, the first based on systematic replication studies and the second based on meta-studies. For known conditional publication probabilities, we propose median-unbiased estimators and associated confidence sets that correct for selective publication. We apply our methods to recent large-scale replication studies in experimental economics and psychology, and to meta-studies of the effects of minimum wages and de-worming programs.
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PDF链接：
https://arxiv.org/pdf/1711.10527
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