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UID:20251028T134341EDT-3925jkXieF@132.216.98.100
DTSTAMP:20251028T174341Z
DESCRIPTION:'Statistical Treatment Rules under Social Interaction'\n\nYoung
 ki Shin (McMaster)\n	December 2\, 2022\, 3:30 to 5:00 PM\n	Leacock 429\n\nHo
 st: Saraswata Chaudhuri\n	Field: Trics\n\nAbstract:\n	In this paper we study
  treatment assignment rules in the presence of social interaction. We cons
 truct an analytical framework under the anonymous interaction assumption\,
  where the decision problem becomes choosing a treatment fraction. We prop
 ose a multinomial empirical success (MES) rule that includes the empirical
  success rule of Manski (2004) as a special case. We investigate the non-a
 symptotic bounds of the expected utility based on the MES rule. Finally\, 
 we prove that the MES rule achieves the asymptotic optimality with the min
 imax regret criterion.\n
DTSTART:20221202T203000Z
DTEND:20221202T220000Z
LOCATION:Room 429\, Leacock Building\, CA\, QC\, Montreal\, H3A 2T7\, 855 r
 ue Sherbrooke Ouest
SUMMARY:Youngki Shin (McMaster)\, 'Statistical Treatment Rules under Social
  Interaction'
URL:/economics/channels/event/youngki-shin-mcmaster-st
 atistical-treatment-rules-under-social-interaction-340414
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