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UID:event-9569@amse-aixmarseille.fr
DTSTAMP:20260430T185721Z
CREATED:20260430T185721Z
LAST-MODIFIED:20260430T185721Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Michel Lubrano
DTSTART:20221011T120000Z
DTEND:20221011T133000Z
DESCRIPTION:This paper examines the question of non-anonymous Growth Incide
 nce Curves from a Bayesian inferential point of view. Building on the notio
 n of conditional quantiles\, it shows that removing the anonymity axiom lea
 ds to a non-parametric inference problem. From a Bayesian point of view\, a
 n approach using Berstein polynomials provides a simple solution and immedi
 ate confidence intervals and tests. The paper illustrates the approach to t
 he question of academic wage formation and tries to shed some light on the 
 question to know if academic recruitment leads to a super stars phenomenon.
  Equipped with Bayesian na-GIC\, we show that wages at Michigan State Unive
 rsity experienced a compression leading to a shrinking of the wage scale\, 
 even female professors seem to be better treated than males.\\n\\nContact: 
 Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel: pierre.michel[
 at]univ-amu.fr\n\nPlus d'informations: https://amse-aixmarseille.fr/en/even
 ts/michel-lubrano-2
LOCATION:Îlot Bernard du Bois - Salle 17\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/en/events/michel-lubrano-2
CONTACT:Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel:&nbsp\;p
 ierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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