  Following in the footsteps of the literature on empirical welfare
maximization, this paper wants to contribute by stressing the policymaker
perspective via a practical illustration of an optimal policy assignment
problem. More specifically, by focusing on the class of threshold-based
policies, we first set up the theoretical underpinnings of the policymaker
selection problem, to then offer a practical solution to this problem via an
empirical illustration using the popular LaLonde (1986) training program
dataset. The paper proposes an implementation protocol for the optimal solution
that is straightforward to apply and easy to program with standard statistical
software.
