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Uses nonparametric statistical techniques to estimate technical and scale efficiency on individual Australian universities using various measures of outputs and inputs. Finds that regardless of the output mix, Australian universities as a whole record high levels of efficiency relative to each other. (Contains 34 references.) (Author/PKP)

Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been published as non-significant. We estimate the extent of selectively reported p-values to range between 57.7% and 71.9% of the significant p-values. The counterfactual p-value distribution also allows us to assess shifts of p-values along the entire distribution of published p-values, revealing that particularly very small p-values (p < 0.001) are unexpectedly abundant in the published literature. Subsample analysis suggests that the extent of selective reporting is reduced in research fields that use experimental designs, analyze microeconomics research questions, and have at least some adequately powered studies., (© 2024 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.)