IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to follow this author

François Lafond

This is information that was supplied by François Lafond in registering through RePEc. If you are François Lafond, you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:François
Middle Name:
Last Name:Lafond
RePEc Short-ID:pla628
in new window
  1. Fran\c{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979,, revised Sep 2017.
  2. Rupert Way & Fran\c{c}ois Lafond & J. Doyne Farmer & Fabrizio Lillo & Valentyn Panchenko, 2017. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers 1705.03423,
  3. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104,
  4. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274,, revised Nov 2015.
  5. Lafond F.D., 2014. "The size of patent categories: USPTO 1976-2006," MERIT Working Papers 060, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  6. Lafond F.D., 2013. "Self-organization of knowledge economies," MERIT Working Papers 040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  7. Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  1. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
  2. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INO: Innovation (4) 2013-09-13 2013-11-29 2014-12-13 2017-03-12. Author is listed
  2. NEP-CDM: Collective Decision-Making (2) 2013-09-13 2013-11-29. Author is listed
  3. NEP-KNM: Knowledge Management & Knowledge Economy (2) 2013-09-13 2013-11-29. Author is listed
  4. NEP-FOR: Forecasting (1) 2017-03-26
  5. NEP-IPR: Intellectual Property Rights (1) 2014-12-13
  6. NEP-NET: Network Economics (1) 2013-09-13
  7. NEP-RMG: Risk Management (1) 2017-05-14

Most cited item

Most downloaded item (past 12 months)

Access and download statistics for all items

For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, François Lafond should log into the RePEc Author Service

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.