Multiple Testing in Economics

We propose a new way to conduct multiple hypothesis testing in economics research. Our framework allows for correlation among tests and incomplete data, both of which are prevalent in economic meta-analysis. Our simulations show that that our method is able to produce the correct p-value cutoff that controls the overall rate of false discoveries at a prespecified level of significance. The single hypothesis test, as used by most researchers, leads to too many false discoveries and should be avoided