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UID:event-12318@www.amse-aixmarseille.fr
DTSTAMP:20260421T200508Z
CREATED:20260421T200508Z
LAST-MODIFIED:20260421T200508Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Bertille Picard
DTSTART:20251216T130000Z
DTEND:20251216T143000Z
DESCRIPTION:The Kitagawa-Oaxaca-Blinder decomposition splits the difference
  in means between two groups into an explained part\, due to observable fac
 tors\, and an unexplained part. In this paper\, we reformulate this framewo
 rk using potential outcomes\, highlighting the critical role of the referen
 ce outcome. To address limitations like common support and model misspecifi
 cation\, we extend Neumark's (1988) weighted reference approach with a doub
 ly robust estimator. Using Neyman orthogonality and double machine learning
 \, our method avoids trimming and extrapolation. This improves flexibility 
 and robustness\, as illustrated by two empirical applications. Nevertheless
 \, we also highlight that the decomposition based on the Neumark reference 
 outcome is particularly sensitive to the inclusion of irrelevant explanator
 y variables.\\n\\nContact: Sullivan Hué: sullivan.hue[at]univ-amu.frMichel
  Lubrano: michel.lubrano[at]univ-amu.fr\n\nPlus d'informations: https://ww
 w.amse-aixmarseille.fr/en/events/bertille-picard-14
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/bertille-picard-14
CONTACT:Sullivan Hué: sullivan.hue[at]univ-amu.frMichel Lubrano:&nbsp\;mic
 hel.lubrano[at]univ-amu.fr
TRANSP:OPAQUE
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