Recent literature shows that when regression models are estimated on variables transformed with 'log-like' functions such as the inverse hyperbolic sine or ln(Z + 1) transformations, one can obtain (semi-)elasticity estimates of any magnitude by linearly re-scaling the input variable(s) before...

Recent literature shows that when regression models are estimated on variables transformed with 'log-like' functions such as the inverse hyperbolic sine or ln(Z+1) transformations, one can obtain (semi-)elasticity estimates of any magnitude by linearly re-scaling the input variable(s) before...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...