Fabien is an IFS Research Fellow and a Professor of Economics at University College London. His main research fields are applied and theoretical labour economics. He also has interests in labour market policy, macroeconomic dynamics, and applied structural microeconometrics.
PhD Economics, University of Paris I Panthéon-Sorbonne, 1998
MSc Economics, University of Paris I Panthéon-Sorbonne, 1995
The spread of COVID‐19, and international measures to contain it, are having a major impact on economic activity in the UK. In this paper, we describe how this impact has varied across industries, using data on share prices of firms listed on the London Stock Exchange, and how well targeted government support for workers and companies is in light of this.
If the productive characteristics of workers and firms are truly multi-dimensional, what
features of the data do we miss by modeling them as one-dimensional scalars? This is the
question we ask in this paper.
We begin with a description of some basic
patterns found in the data. As in Moscarini
and Postel-Vinay (2016) we draw our data from
the SIPP 1996-2008 panels, covering 1996-2013
with few gaps. To refine the measurement of
EE transitions, we adopt the methodology and
results from Fujita, Moscarini and Postel-Vinay