10 Events

• Fri

  Friday

  November 22

  2024

  Seminar | Rotterdam | 12:00 - 13:00

  Assessing solution quality in risk-averse stochastic programmes

  Ruben van Beesten (Erasmus University Rotterdam)

  • Erasmus Econometric Institute Series
• Fri

  Friday

  November 22

  2024

  Seminar | Amsterdam | 12:30 - 13:30

  Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions

  Rasmus Søndergaard Pedersen (University of Copenhagen, Denmark)

  • Econometrics Seminars and Workshop Series
• Sat

  Saturday

  November 23

  2024

  Open Day | Rotterdam | 10:00 - 16:00

  EUR Master Open Day (Hybrid event)

  Director of Graduate Studies and students

• Fri

  Friday

  November 29

  2024

  Seminar | Rotterdam | 12:00 - 13:00

  Network Dual Reoptimisation Policies and Bounds for Managing Energy Real Options

  Alessio Trivella (University of Twente)

  • Erasmus Econometric Institute Series
• Fri

  Friday

  November 29

  2024

  Seminar | Amsterdam | 12:30 - 13:30

  Title to be announced

  Jean-Marc Robin (Sciences Po, France)

  • Econometrics Seminars and Workshop Series
• Fri

  Friday

  November 29

  2024

  Seminar | Amsterdam | 16:00 - 17:30

  Double PhD Seminar

  Alejandro Hirmas, Ekaterina Ugulava

  • PhD Seminars
• Fri

  Friday

  December 06 - 07

  2024

  Conference | Amsterdam

  35th (EC)^2 Conference on Unravelling Misspecification and Identification in Econometrics

  Xu Cheng (University of Pennsylvania, United States) and Toru Kitagawa (Brown University, United States)

• Mon

  Monday

  December 09

  2024

  PhD Defense | Amsterdam | 15:45 - 17:45

  Dynamic Clustering Methods in Panel Data

  Igor Custodio Joao

  • PhD Defense
• Wed

  Wednesday

  December 11

  2024

  Seminar | Amsterdam | 16:00 - 17:15

  Title to be announced

  Guido Imbens (Stanford University, United States)

• Thu

  Thursday

  December 12

  2024

  PhD Defense | Rotterdam | 10:30 - 12:00

  Policy, Pricing and Prediction: Investigating Shock Dynamics, Equity Risk and Machine Learning

  Terri van der Zwan

  • PhD Defense