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.
May 3, 2023
We analyze the distribution of greenhouse gas emissions resulting from the consumption of Spanish households, considering spending levels, age, gender, and different types of goods and services. Our approach combines official data, the Input-Output methodology and BBVA data.
March 6, 2023
We study the transmission of monetary policy shocks using daily consumption, corporate sales and employment series. We find that the economy responds at both short and long lags that are variable in economically significant ways.
October 4, 2022
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.
