- Date
- Friday 7 Jun 2019, 10:00 - 17:00
- Type
- Workshop
- Spoken Language
- English
- Room
- M1-19 (Athene)
- Building
- Van der Goot Building
- Location
- Campus Woudestein
- Location
Dinner at Euromast (by invitation only)
Increasingly large, complex and nonstandard datasets have become widely available. This trend has triggered the development and proliferation of an interdisciplinary body of applied and theoretical work, commonly coined as 'machine learning', in all fields of science. The fields of economics and econometrics are no exception.
This workshop explores how such methods perform and are used in a variety of economic environments characterized by multiple sources of heterogeneity, high-dimensionality of covariates, complex dependence structure and/or time instability.
Programme
| Time | Workshop | Documents |
|---|---|---|
| 10:00-10:30 | Registration and Refreshments | |
| 10:30 -11:30 | Keynote Talk: Serena Ng (Columbia): | |
| 11:30 - 12:15 | Michael Mcmahon (Oxford): "Policymakers Uncertainty" (joint with Anna Cieslak and Stephen Hansen) | |
| 12:15 - 13:30 | Lunch | |
| 13:30 - 14:15 | Svetlana Bryzgalova (LBS): | |
| 14:15-15:00 | Dimitris Korobilis (Essex): | |
| 15:00-15:30 | Coffee Break | |
| 15:30-16:15 | Elena Manresa (NYU): | |
| 16:15-17:00 | Anders Kock (Oxford): | |
| 17:00-17:30 | Closing Drinks | |
| 18:00 | Speakers’ Dinner at Euromast (by invitation only) |
Registration
Deadline for the registration is 24 May 2019. The registration is closed.
Organisers
- More information
For more information please contact Anneke Kop at eb-secr@ese.eur.nl