Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables. (arXiv:2202.08977v1 [econ.EM])

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 learning algorithms, especially towards
disadvantaged groups. In this chapter, we …

application arxiv econometrics fairness