A relevance, distinctiveness and plausibility (RDP) analysis is a conceptual framework that can be used to identify when potential confounds are a problem for interpreting experimental results. We illustrate this analysis using the creation or enhancement of natural group identity by the means...

We investigate the methodology used in a significant genre of experimental economics, in which experiments are designed to test theoretical models by implementing them in the laboratory. Using two case studies, we argue that such an experiment is a test, not of what the model says about its...

Do the insights into human behavior generated by laboratory experiments hold outside the lab? This is the crucial question of external validity that naturally troubles both experimentalists and their critics. We address this question by adopting Popper's injunction that hypotheses should be...

As a stress test of experimenter demand effects, we run an experiment where subjects can physically destroy coupons awarded to them. About one subject out of three does. Giving money back to the experimenter is possible in a separate task but is more consistent with an experimenter demand effect...

We propose a triple test to evaluate the usefulness of behavioral economics models for public health policy. Test 1 is whether the model provides reasonably new insights. Test 2 is on whether these have been properly applied to policy settings. Test 3 is whether they are corroborated by...

We investigate the effects of Partner and Stranger matching in contest experiments and find no difference in the level or distribution of bids across matching protocols. However, demographic and individual strategy effects are different with different matching. Hence, unless one is interested in...