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Événements

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Types d'événements
Tout
grand public
soutenance de thèse
conférence/workshop
enseignement
amse seminar
AMSE lecture
big data and econometrics seminar
development and international economics seminar
ecolunch
economic philosophy seminar
economics and history seminar
Empirical & Econometric Methods Session
finance seminar
French-Japanese webinar
inter-eval
interaction seminar
job market seminar
macro and labor economics seminar
market-markets
phd seminar
policy lecture
Mardi 18 janvier 2022| 14:00 - 14:45
  • big data and econometrics seminar
  • à distance

Jean-Benoît Eymeoud

Sciences Po (LIEPP)
Working from home and corporate real estate
Mardi 15 mars 2022| 14:00 - 15:30
  • big data and econometrics seminar
  • à distance

Katrien Antonio

KU Leuven
Dynamically updating motor insurance prices with telematics collected driving behavior data
Mardi 29 mars 2022| 14:00 - 15:30
  • big data and econometrics seminar
  • à distance

Anthony Strittmatter

CREST
Optimal targeting in fundraising: A causal machine-learning approach
Mardi 26 avril 2022| 14:00 - 15:30

  • big data and econometrics seminar

Anne Ruiz-Gazen

Toulouse School of Economics
Statistical data integration using a prediction approach for finite population inference
Mardi 10 mai 2022| 14:00 - 15:30

  • big data and econometrics seminar

Jeroen Rombouts

ESSEC Business School
Data-driven solutions for large-scale agile demand forecasting at digital platforms
Mardi 24 mai 2022| 14:00 - 15:30

  • big data and econometrics seminar

Tim Verdonck

KU Leuven
Cost-sensitive learning for fraud detection
Mardi 31 mai 2022| 14:00 - 15:30

  • big data and econometrics seminar
  • finance seminar

Kris Jacobs

University of Houston
Fast filtering with large option panels: Implications for asset pricing
Mardi 21 juin 2022| 14:00 - 15:30

  • big data and econometrics seminar

Romain Ferrali

AMSE
How to reduce bureaucratic corruption? Unpacking Brazilian anti-corruption audits
Mardi 11 octobre 2022| 14:00 - 15:30

  • big data and econometrics seminar

Michel Lubrano

AMSE
Bayesian inference for non-anonymous Growth Incidence Curves using Bernstein polynomials: an application to academic wage dynamics with gender issues
Mardi 8 novembre 2022| 14:00 - 15:30

  • big data and econometrics seminar

Sullivan Hué

AMSE
GAM(L)A: An econometric model for interpretable Machine Learning