How Machine Learning Can Inform Economic Analysis and Policy: The Use Of Micro-Prediction
Sendhil Mullainathan (University of Chicago, United States)
- Special Guest Series
Sendhil Mullainathan (University of Chicago, United States)
Julius J. Andersson (Stockholm School of Economics, Sweden)
Gianluca Antonecchia
Giancarlo Corsetti (University of Cambridge, United Kingdom)
Gianluca Antonecchia
Shiyang Huang (HKU, Hong Kong)
Martin Huber (University of Fribourg, Switzerland)
Judd Kessler (Wharton, University of Pennsylvania, United States)
Aidong Zhao (Radboud University)
Simon Mayer
Matthias Doepke (Northwestern University, United States)
Ron Masulis (UNSW, Australia)
Francois Fontaine (Paris School of Economics, France)
Martin Adler
Peter Feldhütter (Copenhagen Business School, Denmark)
Mikael Lindahl (University of Gothenburg, Sweden)
Thibault Schrepel (Utrecht University)
Nicolas Sahuguet (HEC Montreal, Canada)
Jan Sauermann (IFAU, Sweden)
Lucia Foster and Catherine Buffington (US Census); Ryan Decker (Federal Reserve Board)