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VERSION:2.0
PRODID:-//AMSE//Event Calendar//FR
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UID:event-10172@amse-aixmarseille.fr
DTSTAMP:20260430T153214Z
CREATED:20260430T153214Z
LAST-MODIFIED:20260430T153214Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Aristide Houdetoungan
DTSTART:20230606T120000Z
DTEND:20230606T133000Z
DESCRIPTION:I study the estimation of peer effects with group heterogeneity
  through social networks when researchers do not observe the entire network
  structure. The main assumption I set is that the observed partial network 
 data is sufficient to consistently estimate the network formation model tha
 t generates the true network data. Examples include sampled networks\, cens
 ored networks\, misclassified links\, and aggregated relational data. I pro
 pose a pseudo maximum likelihood approach that consistently estimates the p
 eer effect parameter based on the network formation model and the observed 
 network data. I provide an empirical application to the study of peer effec
 ts on fast food consumption and show that network data errors have a first-
 order bias on estimated peer effects.\\n\\nContact: Michel Lubrano : michel
 .lubrano[at]univ-amu.frPierre Michel : pierre.michel[at]univ-amu.fr\n\nPlu
 s d'informations: https://amse-aixmarseille.fr/fr/evenements/aristide-houde
 toungan
LOCATION:Îlot Bernard du Bois - Salle 17\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/fr/evenements/aristide-houdetoungan
CONTACT:Michel Lubrano : michel.lubrano[at]univ-amu.frPierre Michel :&nbsp\
 ;pierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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