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UID:71df6bf1-4302-4ddd-b2df-e9068537ef71@nexttoyou
DTSTAMP:20261105T151745Z
DTSTART:20261106T143000Z
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SUMMARY:TDPE | TRADE DAY 2026
LOCATION:Hall of Languages 500\, The Killian Room\, 101 Crouse Dr\, Syracu
 se\, NY 13210
DESCRIPTION:On November 6\, the Moynihan Institute and Trade\, Development
  and Political Economy series will host its second annual “Trade Day.”\n\
 nTrade Day is a full-day workshop focusing on how trade policies influenc
 e global development\, economic resilience and political institutions.\n\
 nTrade Day presenters:\n\nDave Donaldson (Massachusetts Institute of Tech
 nology)\, “Quantifying the Sensitivity of Quantitative Trade Models”Woan 
 Foong Wong (University of Oregon)\, “Geopolitical Risk and Foreign Depend
 ence in Global Shipping”Luca Opromolla (North Carolina State University)\
 , “Production Cost\, Export Prices\, and Ambiguity” Dave Donaldson (MIT)\
 n\n“Quantifying the Sensitivity of Quantitative Trade Models”\n\nModern q
 uantitative trade models emphasize cross-country heterogeneity in product
 ivity across goods as the source of trade and its benefits. In workhorse 
 versions\, this heterogeneity is assumed to follow specific functional fo
 rms\, such as i.i.d. Frechet or Pareto. We pro-vide a systematic explorat
 ion of how sensitive the gains from trade estimated from these models are
  to relaxing this assumption—first\, with a new formula for sharp bounds 
 on gains from trade across all possible distributions\, and then with a n
 umerical characterization for the case where distributions must be close 
 to the workhorse form. Importantly\, for each candidate distribution we e
 nsure that its implied trade model is consistent with standard estimation
  methods such as the ability to match all bilateral trade data points and
  \n\nhttp://next-to-u.app/events/71df6bf1-4302-4ddd-b2df-e9068537ef71
URL:http://next-to-u.app/events/71df6bf1-4302-4ddd-b2df-e9068537ef71
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