P-curve is a statistical tool we developed about 15 years ago to help rule out selective reporting, be it p-hacking or file-drawering, as the sole explanation for a set of significant results. This post is about a forthcoming critique of p-curve in the statistics journal JASA (pdf). The authors identify four p-curve properties they object...| Data Colada
The authors of a forthcoming AER article (.pdf), "Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics", painstakingly harvested thousands of test results from 25 economics journals to answer an interesting question: Are studies that use some research designs more trustworthy than others? In this post I will explain why I think their... The post [91] p-hacking fast and slow: Evaluating a forthcoming AER paper deeming some econ literatures less trustworthy appeared fi...| Data Colada