Dr Francois Lafond
Senior Research Officer
Senior Research Associate, Smith School for Enterprise and the Environment, University of Oxford
François is a senior research officer at the Institute for New Economic Thinking, at the Oxford Martin School Programme on Technological and Economic Change, at the Smith School for Enterprise and the Environment, and an associate member of Nuffield college. He received his PhD from UNU-MERIT / Maastricht University. His main areas of research are in the economics of innovation, environmental economics, networks and complex systems, applied econometrics and forecasting.
No. 2020-02 - Can stimulating demand drive costs down? World War II as a natural experiment
15 Jan 20
Our results indicate that decreases in cost can be attributed roughly equally to the growth of exper...
No. 2019-14 - Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
02 Oct 19
We examine in detail the distribution of labor productivity levels and growth, and observe that they...
Automation and occupational mobility: A data-driven network model
17 Jun 19
Based on empirical data we construct an occupational mobility network where nodes are occupations an...
Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves
01 Apr 19
We apply portfolio theory to technologies following experience curves.
Long-run dynamics of the U.S. patent classification system
04 Jan 19
We argue that classification system changes and patent reclassification are common and reveal intere...
How well do experience curves predict technological progress? A method for making distributional forecasts
01 Mar 18
We develop a method to make distributional forecasts using experience curves.
Early identification of important patents through network centrality
24 Feb 18
We evaluate the ability of centrality metrics to early-identify significant patents.
How Predictable is Technological Progress?
01 Apr 16
A generalized version of Moore's law for unit costs is modelled as a correlated geometric random wal...