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UID:event-10437@amse-aixmarseille.fr
DTSTAMP:20260418T083931Z
CREATED:20260418T083931Z
LAST-MODIFIED:20260418T083931Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Anna Simoni
DTSTART:20240109T130000Z
DTEND:20240109T143000Z
DESCRIPTION:In this paper we construct optimal forecasts for macroeconomic 
 aggregates in presence of a large number of series that can be cast into gr
 oups. The aim is to provide policymakers with tools that accurately track e
 conomic conditions in real time. The variables in each group have strong co
 variation and common characteristics and patterns. The group structure is e
 xploited by designing a convenient prior that induces a bi-level sparsity â
 €“ at the group level and within group. Such a sparsity structure mirrors t
 he fact that not all predictors are relevant to forecast the target series\
 , conditional on the remaining groups and predictors. This is particularly 
 true when there are many predictors weakly correlated with the target varia
 ble\, as it is often the case with predictors arising from alternative sour
 ces. Under the assumption that the true data generating process exhibits th
 is bi-level sparse structure\, our posterior distribution is able to recove
 r the optimal forecast asymptotically and its support is made of parameters
  with at most the same sparsity as the true sparse model. The rate of contr
 action of the posterior distribution is recovered. Finite sample properties
  of our procedure are illustrated through Monte Carlo experiments. We illus
 trate the performance of our procedure with real data through a nowcasting 
 exercise of the quarterly growth rate of the US GDP.\\n\\nContact: Michel L
 ubrano : michel.lubrano[at]univ-amu.frPierre Michel :Â pierre.michel[at]uni
 v-amu.fr\n\nPlus d'informations: https://amse-aixmarseille.fr/fr/evenements
 /anna-simoni-1
LOCATION:ÃŽlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/fr/evenements/anna-simoni-1
CONTACT:Michel Lubrano : michel.lubrano[at]univ-amu.frPierre Michel :&nbsp\
 ;pierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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