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BEGIN:VEVENT
UID:a5a0984d8e34033bb20ab682ed3be226
CATEGORIES:Seminars
CREATED:20211026T182842
SUMMARY:Lunch Seminar: Giovanni Cerulli - IRCRES-CNR
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p><span style="font-size: 10.5pt; line-height: 107%; font-family: Helvetic
 a, sans-serif; color: #3c4043;"><strong>Optimal Treatment Assignment of a T
 hreshold-based Policy: Empirical Protocol and Related Issues</strong>"</spa
 n></p><p><span style="font-size: 10.5pt; line-height: 107%; font-family: He
 lvetica, sans-serif; color: #3c4043;">Abstract</span></p><p style="text-ali
 gn: justify;"><span style="font-size: 10.5pt; line-height: 107%; font-famil
 y: Helvetica, sans-serif; color: #3c4043;">In the footsteps of the recent l
 iterature on empirical welfare maximization, this paper wants to contribute
  by stressing the policymaker's empirical perspective and related issues ar
 ising 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 policymaker selection problem, to then offer a solutio
 n to this via an implementation protocol applied to the popular LaLonde (19
 86) training program database. The paper traces a general application proce
 dure and discusses, in particular, problems of angle solution typically ari
 sing in real applications of optimal policy assignment.</span></p>
DTSTAMP:20260405T201938Z
DTSTART:20220301T130000Z
DTEND:20220301T140000Z
SEQUENCE:0
TRANSP:OPAQUE
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