This report evaluates the computational reproducibility and analytical robustness of Exley and Kessler's (2024) investigation into "motivated errors," which suggests that individuals may rationalize selfish behavior by attributing their errors to confusion. Using the original data and code, we...

Experimental asset markets provide a controlled approach to studying financial markets. We attempt to replicate 17 key results from four prominent studies, collecting new data from 166 markets with 1,544 participants. Only 3 of the 14 original results reported as statistically significant were...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

Based on a small set of assumptions on preferences, Kerschbamer (2015) introduces a geometric delineation of distributional preferences and a parsimonious, non-parametric identification procedure - the Equality Equivalence Test (eet). The assumptions of the test result in a mutually exclusive...