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UID:event-11401@www.amse-aixmarseille.fr
DTSTAMP:20260421T165432Z
CREATED:20260421T165432Z
LAST-MODIFIED:20260421T165432Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Christophe Gaillac
DTSTART:20241105T130000Z
DTEND:20241105T143000Z
DESCRIPTION:Measuring accurately heterogeneous effects is key for the desig
 n of efficient public policies. This paper focuses on predicting unobserved
  individual-level causal effects in linear random coefficients models\, con
 ditional on all the available data. In the application I consider\, these â
 €śposterior effects” are the average effects of teachers’ knowledge on 
 their students’ performance\, conditional on both variables. I derive two
  nonparametric strategies for recovering these posterior effects\, assuming
  independence between the effects and the covariates. The first strategy re
 covers the distribution of the random coefficients by a minimum distance ap
 proach\, and then obtains the posterior effects from this distribution. The
  corresponding estimator can be computed using an optimal transport algorit
 hm. The second approach\, which is valid only for continuous regressors\, d
 irectly expresses the posterior effects as a function of the data. The corr
 esponding estimator is rate optimal. I discuss several extensions\, in part
 icular the relaxation of the independence condition. Finally\, the applicat
 ion reveals large heterogeneity in the effect of teachers’ knowledge\, su
 ggesting that we could substantially improve the cost-effectiveness of thei
 r training.\\n\\nContact: Sullivan Hué: sullivan.hue[at]univ-amu.frMichel 
 Lubrano: michel.lubrano[at]univ-amu.fr\n\nPlus d'informations: https://www.
 amse-aixmarseille.fr/en/events/christophe-gaillac-0
LOCATION:ĂŽlot 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/christophe-gaillac-0
CONTACT:Sullivan Hué: sullivan.hue[at]univ-amu.frMichel Lubrano: michel.lu
 brano[at]univ-amu.fr
TRANSP:OPAQUE
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