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DTSTAMP:20251109T045729Z
DESCRIPTION:Davidson Distinguished Lecture in Econometrics with Prof. James
  MacKinnon\n\n'Using Large Samples in Econometrics'\n\nJames MacKinnon (Qu
 een's University)\n	October 13\, 2023\, 3:30 to 5:30 PM\n	Faculty Club Ballr
 oom\n\nAbstract:\n	The samples that economists employ have become larger ov
 er time\, sometimes a lot larger. This seems good\, because large samples 
 generally contain more information than small ones. However\, inference in
  large samples can actually be harder than in small ones. Hypothesis tests
  and confidence intervals are often based on the assumption that every obs
 ervation is independent of every other observation. But violations of this
  assumption are far more consequential for large samples than for small on
 es. If the observations naturally fall into a modest number of clusters an
 d are correlated within each cluster\, then the information content of a l
 arge sample may be only slightly greater than that of a much smaller sampl
 e. Moreover\, failing to account for clustering can lead to much bigger mi
 stakes when a sample is large than when it is small. These points are illu
 strated graphically using both simulated and actual data.\n\nRegistration:
 \n	This event is free and is open to anyone interested in the topic. Howeve
 r\, due to limited seating\, registration is required. The deadline to reg
 ister is October 9 at 5 pm.\n
DTSTART:20231013T193000Z
DTEND:20231013T213000Z
LOCATION:Faculty Club Ballroom \, Faculty Club\, CA\, QC\, Montreal\, H3A 0
 E5\, 3450 rue McTavish
SUMMARY:Davidson Distinguished Lecture in Econometrics with Prof. James Mac
 Kinnon
URL:/economics/channels/event/davidson-distinguished-l
 ecture-econometrics-prof-james-mackinnon-350385
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