In the footsteps of the recent literature on empirical welfare maximization, this article wants to contribute by stressing the policy-maker empirical perspective and related issues arising when carrying out optimal policy assignment in practice. By focusing on the class of threshold-based policies, we first set out the theoretical underpinnings of the policy-maker selection problem, to then offer a solution to this via an implementation protocol applied to the popular LaLonde training programme database. This article traces a general application procedure and discusses, in particular, problems of angle solution typically arising in real applications of optimal policy assignment.

Optimal treatment assignment of a threshold-based policy: empirical protocol and related issues

Cerulli;Giovanni
2022

Abstract

In the footsteps of the recent literature on empirical welfare maximization, this article wants to contribute by stressing the policy-maker empirical perspective and related issues arising when carrying out optimal policy assignment in practice. By focusing on the class of threshold-based policies, we first set out the theoretical underpinnings of the policy-maker selection problem, to then offer a solution to this via an implementation protocol applied to the popular LaLonde training programme database. This article traces a general application procedure and discusses, in particular, problems of angle solution typically arising in real applications of optimal policy assignment.
2022
Istituto di Ricerca sulla Crescita Economica Sostenibile - IRCrES
Policy learning
optimal treatment
programme evaluation
threshold-based assignment rule
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/444402
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