We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …

This paper uses the control function to develop a framework for testing for selection bias. The idea behind our … magnitude of potential selection bias. Averaging this correction term with respect to appropriate weights yields the degree of … selection bias for alternative treatment effects of interest. One advantage of our framework is that it motivates when is …

extent of p-hacking and publication bias by collecting and studying the universe of test statistics, 15,992 in total, from …

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial … publication bias in peer review. Desk-rejected manuscripts display greater heaping than those sent for review i.e. marginally …

Science rests upon the reliability of peer review. This paper suggests a way to test for bias. It is able to avoid the … data from the field of economics. No scientific bias or favoritism is found (although the Journal of Political Economy …