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

26 April 2023
2:00 pm
San Francesco Complex - classroom 1

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.

 

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relatore: 
Giovanni Cerulli, IRCrES-CNR
Units: 
AXES