François Lafond
(Francois Lafond)
Personal Details
First Name: | Francois |
Middle Name: | |
Last Name: | Lafond |
Suffix: | |
RePEc Short-ID: | pla628 |
[This author has chosen not to make the email address public] | |
https://francoislafond.wordpress.com | |
Affiliation
INET Oxford
Oxford Martin School
Oxford University
Oxford, United Kingdomhttps://www.inet.ox.ac.uk/
RePEc:edi:inoxfuk (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Lafond, François & Farmer, J. Doyne & Mungo, Luca & Astudillo-Estévez, Pablo, 2022.
"Reconstructing production networks using machine learning,"
INET Oxford Working Papers
2022-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Jan 2023.
- Mungo, Luca & Lafond, François & Astudillo-Estévez, Pablo & Farmer, J. Doyne, 2023. "Reconstructing production networks using machine learning," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
- Lafond, François & Goldin, Ian & Koutroumpis, Pantelis & Winkler, Julian, 2021.
"Why is productivity slowing down?,"
INET Oxford Working Papers
2021-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
- Lafond, François & Goldin, Ian & Koutroumpis, Pantelis & Winkler, Julian, 2022. "Why is productivity slowing down?," INET Oxford Working Papers 2022-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020.
"Production networks and epidemic spreading: How to restart the UK economy?,"
INET Oxford Working Papers
2020-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.
- Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020.
"The rise of science in low-carbon energy technologies,"
Papers
2004.09959, arXiv.org, revised Sep 2020.
- Hötte, Kerstin & Pichler, Anton & Lafond, François, 2021. "The rise of science in low-carbon energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
- Lafond, François & Farmer, J. Doyne & Greenwald, Diana, 2020.
"Can stimulating demand drive costs down? World War II as a natural experiment,"
INET Oxford Working Papers
2020-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Lafond, François & Greenwald, Diana & Farmer, J. Doyne, 2022. "Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment," The Journal of Economic History, Cambridge University Press, vol. 82(3), pages 727-764, September.
- Lafond, Francois & Greenwald, Diana & Farmer, J. Doyne, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," MPRA Paper 100823, University Library of Munich, Germany.
- Pichler, Anton & Lafond, François & Farmer, J. Doyne, 2020.
"Technological interdependencies predict innovation dynamics,"
INET Oxford Working Papers
2020-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Anton Pichler & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Technological interdependencies predict innovation dynamics," Papers 2003.00580, arXiv.org.
- Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020.
"In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model,"
INET Oxford Working Papers
2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
- Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2021. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," Papers 2102.09608, arXiv.org.
- R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020.
"Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective,"
Papers
2004.06759, arXiv.org.
- R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
- Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019.
"Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution,"
Papers
1910.05219, arXiv.org, revised Apr 2022.
- Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
- Lafond, François & Farmer, J. Doyne & Koutroumpis, Pantelis & Winkler, Julian & Heinrich, Torsten & Yang, Jangho, 2019.
"Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution,"
INET Oxford Working Papers
2019-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
- R. Maria del Rio-Chanona & Penny Mealy & Mariano Beguerisse-D'iaz & Francois Lafond & J. Doyne Farmer, 2019. "Automation and occupational mobility: A data-driven network model," Papers 1906.04086, arXiv.org, revised Feb 2020.
- Franc{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, arXiv.org, revised Sep 2017.
- Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
- Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017.
"Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves,"
Papers
1705.03423, arXiv.org, revised Aug 2018.
- Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
- Francois Lafond & Daniel Kim, 2017.
"Long-run dynamics of the U.S. patent classification system,"
Papers
1703.02104, arXiv.org, revised Sep 2018.
- François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
- J. Doyne Farmer & Francois Lafond, 2015.
"How predictable is technological progress?,"
Papers
1502.05274, arXiv.org, revised Nov 2015.
- Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
- Lafond, F., 2014. "The size of patent categories: USPTO 1976-2006," MERIT Working Papers 2014-060, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Lafond, Francois D., 2013.
"Self-organization of knowledge economies,"
MERIT Working Papers
2013-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.
- Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 2012-071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
Articles
- Mungo, Luca & Lafond, François & Astudillo-Estévez, Pablo & Farmer, J. Doyne, 2023.
"Reconstructing production networks using machine learning,"
Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
- Lafond, François & Farmer, J. Doyne & Mungo, Luca & Astudillo-Estévez, Pablo, 2022. "Reconstructing production networks using machine learning," INET Oxford Working Papers 2022-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Jan 2023.
- Lafond, François & Greenwald, Diana & Farmer, J. Doyne, 2022.
"Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment,"
The Journal of Economic History, Cambridge University Press, vol. 82(3), pages 727-764, September.
- Lafond, François & Farmer, J. Doyne & Greenwald, Diana, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," INET Oxford Working Papers 2020-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Lafond, Francois & Greenwald, Diana & Farmer, J. Doyne, 2020. "Can stimulating demand drive costs down? World War II as a natural experiment," MPRA Paper 100823, University Library of Munich, Germany.
- Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
- Hötte, Kerstin & Pichler, Anton & Lafond, François, 2021.
"The rise of science in low-carbon energy technologies,"
Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
- Kerstin Hotte & Anton Pichler & Franc{c}ois Lafond, 2020. "The rise of science in low-carbon energy technologies," Papers 2004.09959, arXiv.org, revised Sep 2020.
- R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020.
"Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective,"
Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
- R. Maria del Rio-Chanona & Penny Mealy & Anton Pichler & Francois Lafond & Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective," Papers 2004.06759, arXiv.org.
- Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
- Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019.
"Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves,"
Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
- Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers 1705.03423, arXiv.org, revised Aug 2018.
- François Lafond & Daniel Kim, 2019.
"Long-run dynamics of the U.S. patent classification system,"
Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
- Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org, revised Sep 2018.
- Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018.
"How well do experience curves predict technological progress? A method for making distributional forecasts,"
Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
- Franc{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, arXiv.org, revised Sep 2017.
- Farmer, J. Doyne & Lafond, François, 2016.
"How predictable is technological progress?,"
Research Policy, Elsevier, vol. 45(3), pages 647-665.
- J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
- Lafond, François, 2015.
"Self-organization of knowledge economies,"
Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.
- Lafond, Francois D., 2013. "Self-organization of knowledge economies," MERIT Working Papers 2013-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 19 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.- NEP-INO: Innovation (6) 2013-09-13 2013-11-29 2014-12-13 2017-03-12 2020-03-16 2021-08-30. Author is listed
- NEP-ISF: Islamic Finance (5) 2021-08-30 2021-08-30 2021-08-30 2021-08-30 2021-08-30. Author is listed
- NEP-MAC: Macroeconomics (5) 2020-04-13 2021-08-30 2021-08-30 2021-08-30 2022-07-11. Author is listed
- NEP-TID: Technology & Industrial Dynamics (5) 2019-07-22 2020-04-13 2020-05-04 2021-08-30 2022-07-11. Author is listed
- NEP-EFF: Efficiency & Productivity (4) 2019-10-21 2020-04-13 2021-08-30 2022-07-11
- NEP-NET: Network Economics (4) 2013-09-13 2021-08-30 2021-08-30 2022-02-21
- NEP-CDM: Collective Decision-Making (2) 2013-09-13 2013-11-29
- NEP-HIS: Business, Economic & Financial History (2) 2020-07-13 2021-08-30
- NEP-KNM: Knowledge Management & Knowledge Economy (2) 2013-09-13 2013-11-29
- NEP-BEC: Business Economics (1) 2022-02-21
- NEP-BIG: Big Data (1) 2022-02-21
- NEP-CMP: Computational Economics (1) 2022-02-21
- NEP-ECM: Econometrics (1) 2019-10-21
- NEP-EEC: European Economics (1) 2021-08-30
- NEP-ENE: Energy Economics (1) 2020-05-04
- NEP-ENV: Environmental Economics (1) 2020-05-04
- NEP-FDG: Financial Development & Growth (1) 2021-08-30
- NEP-FOR: Forecasting (1) 2017-03-26
- NEP-GRO: Economic Growth (1) 2022-07-11
- NEP-IPR: Intellectual Property Rights (1) 2014-12-13
- NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2019-10-21
- NEP-ORE: Operations Research (1) 2020-05-04
- NEP-PAY: Payment Systems & Financial Technology (1) 2019-07-22
- NEP-REG: Regulation (1) 2020-05-04
- NEP-RMG: Risk Management (1) 2017-05-14
- NEP-SOC: Social Norms & Social Capital (1) 2013-09-13
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