BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250706T171941EDT-92065UvG2O@132.216.98.100 DTSTAMP:20250706T211941Z DESCRIPTION:Saraswata Chaudhuri\, PhD\n\nAssistant Professor\, Department o f Economics\, 9I制作厂免费\n\nA Note on Efficiency Gains from Multipl e Incomplete Subsamples\n\nALL ARE WELCOME\n\nAbstract:\n\nWe demonstrate efficiency gains in estimation by optimally using multiple subsamples all but one of which are incomplete following a monotone pattern. The finite d imensional parameter of interest is defined by moment restrictions on a ta rget population which is some arbitrary union of the possibly different su bpopulations for the multiple subsamples. A form of the missing at random (MAR) assumption is made for identification. MAR also makes the informatio n contained in each incomplete subsample usable and thus contributes to ef ficiency gains. We show that the characteristics and possibility of such e fficiency gains can be very different from those in the two subsamples con texts that have been studied extensively in the literature. Implication of these results on possible sampling strategies is briefly noted. We also s how that a set of unconditional and conditional moment restrictions exhaus ts all the relevant information in the subsamples and can be easily used i n a Frisch-Waugh-Lovell type sequential way\, by virtue of monotonicity\, for efficient estimation of the parameter of interest.\n\nBio:\n\nSaraswat a Chaudhuri is an assistant professor of Economics. His research focuses o n econometrics with micro-level data. He received his PhD in Economics fro m University of Washington and was an assistant professor at University of North Carolina before moving to 9I制作厂免费.\n\nWeb: http://saraswata.research .mcgill.ca/\n\n聽\n DTSTART:20151110T203000Z DTEND:20151110T213000Z LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins Ouest SUMMARY:Biostatistics Seminar URL:/epi-biostat-occh/channels/event/biostatistics-sem inar-256380 END:VEVENT END:VCALENDAR