Stephen Hansen
Stephen Hansen
External Partner

Stephen Hansen is Associate Professor of Economics at Imperial College Business School.  Prior to this, he was a member of the economics faculty at the University of Oxford and Pompeu Fabra University.  He received his PhD in Economics from the London School of Economics in 2009.His research primarily focuses on information problems in organizations, with recent applications to the design of central banks and the role of CEOs in firms.  His work has increasingly incorporated unstructured data for generating novel measures of behavior using machine learning algorithms. He is currently an Affiliate at the CEPR and Turing Fellow at the Alan Turing Institute, and has in the past been both a fellow and academic consultant at the Bank of England.

Latest publications

Presentation for the Conference on Non-traditional Data, Machine Learning and Natural Language Processing in Macroeconomics hosted by Sveriges Riksbank and jointly organized with the Federal Reserve Board, the Bank of Italy, and the Bank of Canada.
We provide the first proof of concept that naturally occurring data from millions of financial transactions can be harnessed to estimate national accounts in real time and high definition
Presentation released by BBVA Research at Big Things Data & AI Conference. Observing the evolution of the economy in real time and high definition can be essential when evaluating the economic impact of an event with few precedents in the world economy like the current Covid19 crisis.