Are all Economic Hypotheses False?
开发了一种估计方法，计算经济学期刊文章中未拒绝的原假设中实际为真的比例上限，发现样本中所有未拒绝的原假设均非真，并探讨了三种可能解释。
The authors develop an estimator that allows them to calculate an upper bound to the fraction of unrejected null hypotheses tested in economics journal articles that are in fact true. Their point estimate is that none of the unrejected nulls in their sample is true. The authors reject the hypothesis that more than one-third are true. They consider three explanations for this finding: that all null hypotheses are mere approximations, that data-mining biases reported standard errors downward, and that journals tend to publish papers that fail to reject their null hypotheses only when the they are likely to be false. Copyright 1992 by University of Chicago Press.