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 ...
“To me, an algorithm is any piece of automated code that accepts some number of variables and data, [then] uses those variables and data to make decisions. But that’s the boring computer science ...
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