The most parsimonious model used a biologically plausible sampling algorithm in which the range of sampled hypotheses governed an information bottleneck that gave rise to a bias-variance tradeoff.

We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that ...