Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables
结构计量中的公平性约束及其工具变量估计应用
A supervised machine learning algorithm determines a model from a learning sample that will be used to predict new observations. To this end, it aggregates individual characteristics of the observations of the learning sample. But this information aggregation does not consider any potential selection on unobservables and any status-quo biases which may be contained in the training sample. The latter bias has raised concerns around the so-called \textit{fairness} of machine…