Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model

This work belongs to the strand of literature that combines machine learning, optimization, and econometrics. The aim is to optimize the data collection process in a specific statistical model, commonly used in econometrics, employing an optimization criterion inspired by machine learning, namely, t...

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