Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue ...