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VERSION:2.0
PRODID:-//AMSE//Event Calendar//FR
CALSCALE:GREGORIAN
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BEGIN:VEVENT
UID:event-8506@www.amse-aixmarseille.fr
DTSTAMP:20260501T062253Z
CREATED:20260501T062253Z
LAST-MODIFIED:20260501T062253Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Aristide Elysée Houndetoungan
DTSTART:20211207T130000Z
DTEND:20211207T143000Z
DESCRIPTION:I present a peer effects model for count data using a static ga
 me of incomplete information. I provide sufficient conditions under which t
 he game equilibrium is unique. I estimate the model's parameters using the 
 Nested Partial Likelihood approach and establish asymptotic properties of t
 he estimator. I show that using the standard linear-in-means spatial autore
 gressive (SAR) model or the SAR Tobit model to estimate peer effects on cou
 nting variables generated from the game asymptotically underestimates the p
 eer effects. I use the model to study peer effects on students participatio
 n in extracurricular activities\, controlling for network endogeneity.\\n\\
 nContact: Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel: pier
 re.michel[at]univ-amu.fr\n\nPlus d'informations: https://www.amse-aixmarsei
 lle.fr/en/events/aristide-elys%C3%A9e-houndetoungan-0
LOCATION:Îlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/en/events/aristide-elys%C3%A9e-houndetoungan-0
CONTACT:Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel:&nbsp\;p
 ierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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