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François Lafond
(Francois Lafond)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. 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.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply
  2. 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.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Production and supply

Working papers

  1. 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.

    Cited by:

    1. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2023. "Estimating the loss of economic predictability from aggregating firm-level production networks," Papers 2302.11451, arXiv.org.
    2. Lafond, François & Astudillo-Estévez, Pablo & Bacilieri, Andrea & Borsos, András, 2023. "Firm-level production networks: what do we (really) know?," INET Oxford Working Papers 2023-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

  2. 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.

    Cited by:

    1. John G. Fernald & Robert Inklaar & Dimitrije Ruzic, 2023. "The Productivity Slowdown in Advanced Economies: Common Shocks or Common Trends?," Working Paper Series 2023-07, Federal Reserve Bank of San Francisco.
    2. 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.
    3. Ferschli, Benjamin & Rehm, Miriam & Schnetzer, Matthias & Zilian, Stella, 2021. "Labor-saving technological change? Sectoral evidence for Germany," ifso working paper series 14, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    4. Fiaschi, Davide & Tealdi, Cristina, 2023. "The attachment of adult women to the Italian labour market in the shadow of COVID-19," Labour Economics, Elsevier, vol. 83(C).
    5. Alessandro Bellocchi & Giuseppe Travaglini & Beatrice Vitali, 2023. "How capital intensity affects technical progress: An empirical analysis for 17 advanced economies," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 606-631, July.
    6. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parrága, Susana & Carvalho,, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    7. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2022. "The big bang: Stock market capitalization in the long run," Journal of Financial Economics, Elsevier, vol. 145(2), pages 527-552.
    8. Bart van Ark, 2021. "Putting Together the Pieces of the Productivity Puzzle: Review Article of Productivity Perspectives and Productivity and the Pandemic," International Productivity Monitor, Centre for the Study of Living Standards, vol. 40, pages 118-133, Spring.
    9. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    10. John G. Fernald & Robert Inklaar, 2022. "The UK Productivity “Puzzle” in an International Comparative Perspective," Working Paper Series 2022-07, Federal Reserve Bank of San Francisco.
    11. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. N. Cordemans, 2018. "Low productivity growth," Economic Review, National Bank of Belgium, issue iv, pages 67-80, december.
    13. Petrović, Pavle & Gligorić Matić, Mirjana, 2023. "Manufacturing productivity in the EU: Why have Central and Eastern European countries converged and Southern EU countries have not?," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 166-183.
    14. Yiling Lin & Carl Benedikt Frey & Lingfei Wu, 2022. "Remote Collaboration Fuses Fewer Breakthrough Ideas," Papers 2206.01878, arXiv.org, revised Oct 2023.
    15. Mark Setterfield, 2024. "Integrating the Social Reproduction of Labour into Macroeconomic Theory," Working Papers 2405, New School for Social Research, Department of Economics.
    16. Ngoc-Sang Pham, 2022. "Impacts of (individual and aggregate) productivity and credit shocks on equilibrium aggregate production," Working Papers halshs-03686284, HAL.
    17. Wroński Marcin, 2019. "The productivity growth slowdown in advanced economies: causes and policy recommendations," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(4), pages 391-406, December.
    18. 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.
    19. Koutroumpis, Pantelis & Leiponen, Aija & Thomas, Llewellyn D.W., 2020. "Small is big in ICT: The impact of R&D on productivity," Telecommunications Policy, Elsevier, vol. 44(1).

  3. 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.

    Cited by:

    1. 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).
    2. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2022. "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input–Output Approach [Nonlinear Production Networks with an Application to the Covid-19 Crisis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 358-409.
    3. Heinrich, Torsten, 2021. "Epidemics in modern economies," MPRA Paper 107578, University Library of Munich, Germany.
    4. Orkideh Gharehgozli & Peyman Nayebvali & Amir Gharehgozli & Zaman Zamanian, 2020. "Impact of COVID-19 on the Economic Output of the US Outbreak’s Epicenter," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 561-573, October.
    5. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Tommaso Ferraresi & Leonardo Ghezzi, 2024. "A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors," Economic Systems Research, Taylor & Francis Journals, vol. 36(1), pages 100-130, January.
    6. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    7. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    8. Hayakawa, Kazunobu & Mukunoki, Hiroshi, 2020. "Impacts of COVID-19 on global value chains," IDE Discussion Papers 797, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    9. Guimaraes, Luis, 2020. "Antibody Tests: They are More Important than We Thought," QBS Working Paper Series 2020/07, Queen's University Belfast, Queen's Business School.
    10. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    11. Souknilanh Keola & Kazunobu Hayakawa, 2021. "Do Lockdown Policies Reduce Economic and Social Activities? Evidence from NO2 Emissions," The Developing Economies, Institute of Developing Economies, vol. 59(2), pages 178-205, June.
    12. Tsai, I-Chun & Chiang, Ying-Hui & Lin, Shih-Yuan, 2022. "Effect of COVID-19 lockdowns on city-center and suburban housing markets: Evidence from Hangzhou, China," Journal of Asian Economics, Elsevier, vol. 83(C).
    13. Kalemli-Özcan, Sebnem & Çakmaklı, Cem & Demiralp, Selva & Yesiltas, Sevcan, 2020. "COVID-19 and Emerging Markets: A SIR Model, Demand Shocks and Capital Flows," CEPR Discussion Papers 15154, C.E.P.R. Discussion Papers.
    14. Domenico Delli Gatti & Elisa Grugni, 2022. "Breaking bad: supply chain disruptions in a streamlined agent-based model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1446-1473, October.
    15. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.
    16. Lazebnik, Teddy & Shami, Labib & Bunimovich-Mendrazitsky, Svetlana, 2023. "Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    17. Yuli Shan & Jiamin Ou & Daoping Wang & Zhao Zeng & Shaohui Zhang & Dabo Guan & Klaus Hubacek, 2021. "Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement," Nature Climate Change, Nature, vol. 11(3), pages 200-206, March.
    18. Ipsen, Leonhard & Aminian, Armin & Schulz-Gebhard, Jan, 2023. "Stress-testing inflation exposure: Systemically significant prices and asymmetric shock propagation in the EU28," BERG Working Paper Series 188, Bamberg University, Bamberg Economic Research Group.
    19. Bazzana, Davide & Cohen, Jed J. & Golinucci, Nicolò & Hafner, Manfred & Noussan, Michel & Reichl, Johannes & Rocco, Matteo Vincenzo & Sciullo, Alessandro & Vergalli, Sergio, 2022. "A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy," Energy, Elsevier, vol. 238(PC).
    20. Nicolas Petit & Thibault Schrepel, 2023. "Complexity-minded antitrust," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 541-570, April.
    21. Aleksey Ponomarenko & Svetlana Popova & Andrey Sinyakov & Natalia Turdyeva & Dmitry Chernyadyev, 2020. "Assessing the Consequences of the Pandemic for the Russian Economy Through an Input-Output Model," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 3-17, December.
    22. Tijs W. Alleman & Jan M. Baetens, 2024. "Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic," Papers 2401.08442, arXiv.org.
    23. Zhang, Qianxue, 2021. "Supply shocks in China hit the world economy via global supply chains," The Warwick Economics Research Paper Series (TWERPS) 1323, University of Warwick, Department of Economics.
    24. 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.
    25. Bogusława Drelich-Skulska & Sebastian Bobowski & Jan Gola, 2021. "Global Value Chains in the Era of the COVID-19 Pandemic: Symptoms of Deglobalization," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 905-913.
    26. Qianxue Zhang, 2022. "The Hubei lockdown and its global impacts via supply chains," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1087-1109, September.
    27. Blagica Petreski & Marjan Petreski & Bojan Srbinoski, 2020. "The potential of export-oriented companies to contribute to post-Covid-19 economic recovery in North Macedonia," Finance Think Policy Studies 2020-12/33, Finance Think - Economic Research and Policy Institute.
    28. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic effects of lockdowns in Italy: a computational Input-Output approach," LEM Papers Series 2021/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. Fabio Caccioli & Tiziana Di Matteo & Giulia Iori & Saqib Jafarey & Giacomo Livan & Simone Righi, 2022. "Introduction to the special issue on the 24th annual Workshop on Economic science with Heterogeneous Interacting Agents, London, 2019 (WEHIA 2019)," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 401-404, April.
    30. David J. Haw & Christian Morgenstern & Giovanni Forchini & Robert Johnson & Patrick Doohan & Peter C. Smith & Katharina D. Hauck, 2022. "Data needs for integrated economic-epidemiological models of pandemic mitigation policies," Papers 2209.01487, arXiv.org.
    31. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2021. "Quantifying firm-level economic systemic risk from nation-wide supply networks," Papers 2104.07260, arXiv.org.

  4. 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.

    Cited by:

    1. Chen, Xi & Mao, Jin & Ma, Yaxue & Li, Gang, 2024. "The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. Mitrašinović, Aleksandar M., 2021. "Photovoltaics advancements for transition from renewable to clean energy," Energy, Elsevier, vol. 237(C).
    3. Hötte, Kerstin & Jee, Su Jung, 2022. "Knowledge for a warmer world: A patent analysis of climate change adaptation technologies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Andrea Orame & Daniele Pianeselli, 2023. "Thinking the green transition: evidence from the automotive industry," Questioni di Economia e Finanza (Occasional Papers) 767, Bank of Italy, Economic Research and International Relations Area.
    5. Fusillo, Fabrizio, 2023. "Green Technologies and diversity in the knowledge search and output phases: Evidence from European Patents," Research Policy, Elsevier, vol. 52(4).
    6. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2023. "Can low-carbon energy technology lead to energy resource carrying capacity improvement? The case of China," Energy Economics, Elsevier, vol. 127(PA).
    7. Li, Jizhe & Huang, Guohe & Liu, Lirong & Li, Yongping & Zhai, Mengyu & Xu, Xinli, 2021. "Projections of carbon metabolism in 2035 and implications for demand-side controls under various scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    8. P. G. J. Persoon & R. N. A. Bekkers & F. Alkemade, 2021. "The Knowledge Mobility of Renewable Energy Technology," Papers 2106.10474, arXiv.org, revised Sep 2021.
    9. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    10. Persoon, P.G.J. & Bekkers, R.N.A. & Alkemade, F., 2022. "The knowledge mobility of Renewable Energy Technology," Energy Policy, Elsevier, vol. 161(C).
    11. Kang, Jia-Ning & Zhang, Yun-Long & Chen, Weiming, 2022. "Delivering negative emissions innovation on the right track: A patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

  5. 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.

    Cited by:

    1. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    2. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    3. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Papers 2212.14159, arXiv.org.
    4. Heinrich, Torsten & Yang, Jangho, 2022. "Innovation in times of Covid-19," MPRA Paper 115809, University Library of Munich, Germany.
    5. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Chemnitz Economic Papers 058, Department of Economics, Chemnitz University of Technology.

  6. 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.

    Cited by:

    1. Nicolò Barbieri & Alberto Marzucchi & Ugo Rizzo, 2021. "Green technologies, complementarities, and policy," SEEDS Working Papers 1021, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2021.
    2. Kerstin Hotte & Su Jung Jee, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," Papers 2108.03722, arXiv.org, revised Apr 2022.
    3. 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).
    4. Hötte, Kerstin & Jee, Su Jung, 2022. "Knowledge for a warmer world: A patent analysis of climate change adaptation technologies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Hötte, Kerstin & Jee, Su Jung, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," INET Oxford Working Papers 2021-19, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    6. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2023. "Green technologies, interdependencies, and policy," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).

  7. 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.

    Cited by:

    1. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    2. Anton Pichler & J. Doyne Farmer, 2021. "Simultaneous supply and demand constraints in input-output networks: The case of Covid-19 in Germany, Italy, and Spain," Papers 2101.07818, arXiv.org, revised May 2021.
    3. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    4. Matthew S. Lyons, 2023. "The economic impact of COVID-19 on the creative industries: a sub-regional input–output approach," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-12, December.

  8. 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.

    Cited by:

    1. Fang, Da & Guo, Yan, 2022. "Flow of goods to the shock of COVID-19 and toll-free highway policy: Evidence from logistics data in China," Research in Transportation Economics, Elsevier, vol. 93(C).
    2. Rouselle F. LAVADO & Keiko NOWACKA & David A. RAITZER & Yana van der Meulen RODGERS & Joseph E. ZVEGLICH, 2022. "COVID‐19 disparities by gender and income: Evidence from the Philippines," International Labour Review, International Labour Organization, vol. 161(1), pages 107-123, March.
    3. Lee, Sang Yoon (Tim) & Aum, Sangmin & Shin, Yongseok, 2020. "Who Should Work from Home during a Pandemic? The Wage-Infection Trade-off," CEPR Discussion Papers 15332, C.E.P.R. Discussion Papers.
    4. Davor Mance & Borna Debelić & Alen Jugović, 2021. "Dependence of Transportation on Industry in Croatia," Economies, MDPI, vol. 9(2), pages 1-11, March.
    5. George, Ammu & Li, Changtai & Lim, Jing Zhi & Xie, Taojun, 2021. "From SARS to COVID-19: The evolving role of China-ASEAN production network," Economic Modelling, Elsevier, vol. 101(C).
    6. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    7. Marco Bottone & Cristina Conflitti & Marianna Riggi & Alex Tagliabracci, 2021. "Firms' inflation expectations and pricing strategies during Covid-19," Questioni di Economia e Finanza (Occasional Papers) 619, Bank of Italy, Economic Research and International Relations Area.
    8. Tolcha, Tassew Dufera, 2023. "The state of Africa's air transport market amid COVID-19, and forecasts for recovery," Journal of Air Transport Management, Elsevier, vol. 108(C).
    9. Arceo-Gomez, Eva O. & Campos-Vazquez, Raymundo M. & Esquivel, Gerardo & Alcaraz, Eduardo & Martinez, Luis A. & Lopez, Norma G., 2023. "The impact of COVID-19 infection on labor outcomes of Mexican formal workers," World Development Perspectives, Elsevier, vol. 29(C).
    10. Mohamed Ali Marouani & Phuong Le Minh, 2020. "The first victims of Covid-19 in developing countries? The most vulnerable workers to the lockdown of the Tunisian economy," Working Papers DT/2020/06, DIAL (Développement, Institutions et Mondialisation).
    11. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    12. 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).
    13. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2022. "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input–Output Approach [Nonlinear Production Networks with an Application to the Covid-19 Crisis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 358-409.
    14. Ling Jin & Jun Hyeok Choi & Saerona Kim & Kwanghee Cho, 2022. "Slack Resources, Corporate Performance, and COVID-19 Pandemic: Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-21, November.
    15. Lekfuangfu, Warn N. & Piyapromdee, Suphanit & Porapakkarm, Ponpoje & Wasi, Nada, 2020. "On Covid-19: new implications of job task requirements and spouse's occupational sorting," MPRA Paper 99837, University Library of Munich, Germany.
    16. Khan, Muhammad Asif & Segovia, Juan E.Trinidad & Bhatti, M.Ishaq & Kabir, Asif, 2023. "Corporate vulnerability in the US and China during COVID-19: A machine learning approach," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    17. Brinca, Pedro & Duarte, Joao B. & Faria-e-Castro, Miguel, 2021. "Measuring labor supply and demand shocks during COVID-19," European Economic Review, Elsevier, vol. 139(C).
    18. Nicholas Bloom & Steven J. Davis & Stephen Hansen & Peter Lambert & Raffaella Sadun & Bledi Taska, 2023. "Remote work across jobs, companies and space," POID Working Papers 067, Centre for Economic Performance, LSE.
    19. Heinrich, Torsten, 2021. "Epidemics in modern economies," MPRA Paper 107578, University Library of Munich, Germany.
    20. Goodhart, Charles & Masciandaro, Donato & Ugolini, Stefano, 2021. "Pandemic Recession, Helicopter Money and Central Banking: Venice, 1630," CEPR Discussion Papers 15715, C.E.P.R. Discussion Papers.
    21. Mohit Sharma & Sargam Gupta & Xavier Estupinan, 2020. "An alternate to survey methods to measure work from home," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-028, Indira Gandhi Institute of Development Research, Mumbai, India.
    22. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Work That Can Be Done from Home: Evidence on Variation within and across Occupations and Industries," IZA Discussion Papers 13374, Institute of Labor Economics (IZA).
    23. Bonilla-Mejía, Leonardo & Ruiz-Sánchez, María Alejandra & Villamizar-Villegas, Mauricio, 2022. "The Leading Role of Bank Supply Shocks," Working papers 94, Red Investigadores de Economía.
    24. Bossavie,Laurent Loic Yves & Garrote Sanchez,Daniel & Makovec,Mattia & Ozden,Caglar, 2021. "Occupational Hazards : Migrants and the Economic and Health Risks of COVID-19 in Western Europe," Policy Research Working Paper Series 9873, The World Bank.
    25. Gervásio Ferreira dos Santos & Luiz Carlos de Santana Ribeiro & Rodrigo Barbosa de Cerqueira, 2020. "The informal sector and Covid‐19 economic impacts: The case of Bahia, Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1273-1285, December.
    26. Donato Masciandaro, 2020. "Covid-19 Helicopter Money, Monetary Policy And Central Bank Independence: Economics And Politics," BAFFI CAREFIN Working Papers 20137, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    27. D'Orazio, Paola & Dirks, Maximilian W., 2020. "COVID-19 and financial markets: Assessing the impact of the coronavirus on the eurozone," Ruhr Economic Papers 859, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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    142. Bojan Obrenovic & Goran Oblakovic & Asa Romeo Asa, 2024. "Bibliometric Analysis of Financial and Economic Implications during the COVID-19 Pandemic Crisis," Sustainability, MDPI, vol. 16(7), pages 1-17, March.
    143. Ruck, Damian J. & Bentley, R. Alexander & Borycz, Joshua, 2021. "Early warning of vulnerable counties in a pandemic using socio-economic variables," Economics & Human Biology, Elsevier, vol. 41(C).
    144. Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023. "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 120(C).
    145. Fabio Caccioli & Tiziana Di Matteo & Giulia Iori & Saqib Jafarey & Giacomo Livan & Simone Righi, 2022. "Introduction to the special issue on the 24th annual Workshop on Economic science with Heterogeneous Interacting Agents, London, 2019 (WEHIA 2019)," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 401-404, April.
    146. Fakhrul Hasan & Mary Fiona Ross Bellenstedt & Mohammad Raijul Islam, 2023. "Demand and Supply Disruptions During the Covid-19 Crisis on Firm Productivity," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 87-105, March.
    147. Lauren A. Clay & Stephanie Rogus, 2021. "Impact of Employment, Essential Work, and Risk Factors on Food Access during the COVID-19 Pandemic in New York State," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    148. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 19 Nov 2021.
    149. Michael D. Noel, 2022. "Competitive survival in a devastated industry: Evidence from hotels during COVID‐19," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(1), pages 3-24, February.
    150. Hummy Song & Ryan McKenna & Angela T. Chen & Guy David & Aaron Smith-McLallen, 2021. "The impact of the non-essential business closure policy on Covid-19 infection rates," International Journal of Health Economics and Management, Springer, vol. 21(4), pages 387-426, December.
    151. Balde, Racky & Boly, Mohamed & Avenyo, Elvis, 2020. "Labour market effects of COVID-19 in sub-Saharan Africa: An informality lens from Burkina Faso, Mali and Senegal," MERIT Working Papers 2020-022, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    152. Mohannad Alkhraijah & Maad Alowaifeer & Mansour Alsaleh & Anas Alfaris & Daniel K. Molzahn, 2021. "The Effects of Social Distancing on Electricity Demand Considering Temperature Dependency," Energies, MDPI, vol. 14(2), pages 1-14, January.
    153. Ka Shing Cheung & Chung Yim Yiu & Chuyi Xiong, 2021. "Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China," JRFM, MDPI, vol. 14(3), pages 1-17, March.
    154. Evila Piva & Massimiliano Guerini, 2023. "The impact of the COVID-19 pandemic and pandemic-related policies on new firm creation: an analysis of the Italian case," Small Business Economics, Springer, vol. 60(3), pages 1009-1031, March.
    155. R. Maria del Rio-Chanona & Alejandro Hermida-Carrillo & Melody Sepahpour-Fard & Luning Sun & Renata Topinkova & Ljubica Nedelkoska, 2022. "Mental health concerns prelude the Great Resignation: Evidence from Social Media," Papers 2208.07926, arXiv.org.
    156. Greta Falavigna & Roberto Ippoliti, 2022. "Relief Policy and the Sustainability of COVID-19 Pandemic: Empirical Evidence from the Italian Manufacturing Industry," Sustainability, MDPI, vol. 14(22), pages 1-12, November.
    157. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    158. Florian Horky & Nicola Tretter & Jarko Fidrmuc, 2021. "Are the pandemic and innovation twins? Perceived financial obstacles, innovations, and entrepreneurial success," Economic Research Guardian, Weissberg Publishing, vol. 11(2), pages 236-254, December.
    159. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2022. "Covid-19 and market power in local credit markets: the role of digitalization," BIS Working Papers 1017, Bank for International Settlements.
    160. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
    161. Anh D. M. Nguyen & Hajime Takizawa & Iglika Vassileva, 2023. "Inflation Dynamics in Bulgaria: The Role of Policies," IMF Working Papers 2023/212, International Monetary Fund.
    162. Wicaksono, Ahmad Tibrizi Soni, 2022. "Islamic Bank Deposits during COVID-19 Pandemic: A Spatial Finance Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 135-149.
    163. Anna Bera & Karolina Drela & Agnieszka Malkowska & Anna Tokarz-Kocik, 2020. "Mitigating Risk of the Tourism Sector in the European Union Member States During the COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 107-122.
    164. Guglielmo Maria Caporale & Anamaria Sova & Robert Sova, 2021. "Trade Flows, Private Credit and the Covid-19-Pandemic: Panel Evidence from 35 OECD Countries," CESifo Working Paper Series 9400, CESifo.
    165. Luiz Augusto Magalhães & Thiago Christiano Silva & Benjamin Miranda Tabak, 2022. "Hedging commodities in times of distress: The case of COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1941-1959, October.
    166. Constanza Fosco & Felipe Zurita, 2021. "Assessing the short-run effects of lockdown policies on economic activity, with an application to the Santiago Metropolitan Region, Chile," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    167. Fabian Stephany & Michael Dunn & Steven Sawyer & Vili Lehdonvirta, 2020. "Distancing Bonus Or Downscaling Loss? The Changing Livelihood of Us Online Workers in Times of COVID‐19," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 561-573, July.
    168. Ayodotun Stephen Ibidunni & Adebanji William Adejuwon Ayeni & Oyedele Martins Ogundana & Bisayo Otokiti & Lerato Mohalajeng, 2022. "Survival during Times of Disruptions: Rethinking Strategies for Enabling Business Viability in the Developing Economy," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    169. Bassam Buhusayen & Pi-Shen Seet & Alan Coetzer, 2020. "Turnaround Management of Airport Service Providers Operating during COVID-19 Restrictions," Sustainability, MDPI, vol. 12(23), pages 1-24, December.
    170. Omodara Damilola & Ikhile Deborah & Ogundana Oyedele & Akin-Akinyosoye Kehinde, 2020. "Global pandemic and business performance: Impacts and responses," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(6), pages 01-11, October.

  9. 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.

    Cited by:

    1. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firmlevel: The example of the PR China," Chemnitz Economic Papers 040, Department of Economics, Chemnitz University of Technology.
    2. 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.
    3. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," MPRA Paper 100106, University Library of Munich, Germany.
    4. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.

  10. 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.

    Cited by:

    1. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firmlevel: The example of the PR China," Chemnitz Economic Papers 040, Department of Economics, Chemnitz University of Technology.
    2. 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.
    3. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," MPRA Paper 100106, University Library of Munich, Germany.
    4. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.

  11. 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.

    Cited by:

    1. 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 and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.

  12. 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.

    Cited by:

    1. 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.
    2. Elizabeth Baldwin & Yongyang Cai & Karlygash Kuralbayeva, 2019. "To Build or not to Build? Capital Stocks and Climate Policy," OxCarre Working Papers 204, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    3. 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.
    4. Edoardo Ruffino & Bruno Piga & Alessandro Casasso & Rajandrea Sethi, 2022. "Heat Pumps, Wood Biomass and Fossil Fuel Solutions in the Renovation of Buildings: A Techno-Economic Analysis Applied to Piedmont Region (NW Italy)," Energies, MDPI, vol. 15(7), pages 1-25, March.
    5. Mitrašinović, Aleksandar M., 2021. "Photovoltaics advancements for transition from renewable to clean energy," Energy, Elsevier, vol. 237(C).
    6. Baldwin, Elizabeth & Cai, Yongyang & Kuralbayeva, Karlygash, 2020. "To build or not to build? Capital stocks and climate policy∗," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    7. Thomas Hale, 2020. "Catalytic Cooperation," Global Environmental Politics, MIT Press, vol. 20(4), pages 73-98, Autumn.
    8. Zadourian, Rubina & Klümper, Andreas, 2018. "Exact probability distribution function for the volatility of cumulative production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 59-66.
    9. Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    10. Gary, Robert F. & Fink, Matthias & Belousova, Olga & Marinakis, Yorgos & Tierney, Robert & Walsh, Steven T., 2020. "An introduction to the field of abundant economic thought," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    11. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).

  13. 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.

    Cited by:

    1. Farrell, Niall, 2023. "Policy design for green hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    2. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    3. 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.
    4. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
    5. Vera Ivanyuk, 2022. "Proposed Model of a Dynamic Investment Portfolio with an Adaptive Strategy," Mathematics, MDPI, vol. 10(23), pages 1-19, November.
    6. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    7. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    8. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
    9. De Gennaro Aquino, Luca & Sornette, Didier & Strub, Moris S., 2023. "Portfolio selection with exploration of new investment assets," European Journal of Operational Research, Elsevier, vol. 310(2), pages 773-792.
    10. José Alex Gualotuña Parra & Omar Valverde-Arias & Ana M. Tarquis & Juan B. Grau Olivé & Federico Colombo Speroni & Antonio Saa-Requejo, 2023. "Combining Markowitz Portfolio Model and Simplex Algorithm to Achieve Sustainable Land Management Objectives: Case Study of Rivadavia Banda Norte, Salta (Argentina)," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    11. Zha, Donglan & Jiang, Pansong & Zhang, Chaoqun & Xia, Dan & Cao, Yang, 2023. "Positive synergy or negative synergy: An assessment of the carbon emission reduction effect of renewable energy policy mixes on China's power sector," Energy Policy, Elsevier, vol. 183(C).
    12. Cameron Hepburn & Jacquelyn Pless & David Popp, 2018. "Policy Brief—Encouraging Innovation that Protects Environmental Systems: Five Policy Proposals," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 154-169.

  14. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org, revised Sep 2018.

    Cited by:

    1. Kerstin Hotte & Su Jung Jee, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," Papers 2108.03722, arXiv.org, revised Apr 2022.
    2. 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.
    3. 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).
    4. 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.
    5. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    6. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.
    7. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    8. Hötte, Kerstin & Jee, Su Jung, 2022. "Knowledge for a warmer world: A patent analysis of climate change adaptation technologies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    9. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Hötte, Kerstin & Jee, Su Jung, 2021. "Knowledge for a warmer world: a patent analysis of climate change adaptation technologies," INET Oxford Working Papers 2021-19, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    11. Fredström, Ashkan & Wincent, Joakim & Sjödin, David & Oghazi, Pejvak & Parida, Vinit, 2021. "Tracking innovation diffusion: AI analysis of large-scale patent data towards an agenda for further research," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    12. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

  15. J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.

    Cited by:

    1. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    2. 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.
    3. Zaid A. Aljawary & Santiago de Pablo & Luis Carlos Herrero-de Lucas & Fernando Martinez-Rodrigo, 2020. "Local Carrier PWM for Modular Multilevel Converters with Distributed PV Cells and Circulating Current Reduction," Energies, MDPI, vol. 13(21), pages 1-21, October.
    4. Ives, Matthew & Cesaro, Zac & Bramstoft, Rasmus & Bañares-Alcántara, René, 2023. "Facilitating deep decarbonization via sector coupling of green hydrogen and ammonia," INET Oxford Working Papers 2023-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economics Research Papers 2017-010, Friedrich-Schiller-University Jena.
    6. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    7. José L. Torres & Pablo Casas, 2020. "Automation, Automatic Capital Returns, and the Functional Income Distribution," Working Papers 2020-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    8. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    9. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
    10. 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.
    11. 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.
    12. Martin Klein & Marc Deissenroth, 2018. "When Do Households Invest in Solar Photovoltaics? An Application of Prospect Theory," Papers 1808.05572, arXiv.org.
    13. 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).
    14. Hansen, J.P. & Narbel, P.A. & Aksnes, D.L., 2017. "Limits to growth in the renewable energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 769-774.
    15. Krupa, Joel & Harvey, L.D. Danny, 2017. "Renewable electricity finance in the United States: A state-of-the-art review," Energy, Elsevier, vol. 135(C), pages 913-929.
    16. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
    17. Femke J. M. M. Nijsse & Jean-Francois Mercure & Nadia Ameli & Francesca Larosa & Sumit Kothari & Jamie Rickman & Pim Vercoulen & Hector Pollitt, 2023. "The momentum of the solar energy transition," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    18. Alexander Coad & Gianluca Biggi & Elisa Giuliani, 2019. "Asbestos, leaded petrol, and other aberrations: Comparing countries’ regulatory responses to disapproved products and technologies," JRC Working Papers on Corporate R&D and Innovation 2019-08, Joint Research Centre.
    19. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
    20. Gregor Semieniuk & Emanuele Campiglio & Jean-Francois Mercure & Ulrich Volz & Neil R. Edwards, 2020. "Low-carbon transition risks for finance," Working Papers 233, Department of Economics, SOAS University of London, UK.
    21. Rashid Gill, Abid & Viswanathan, Kuperan K. & Hassan, Sallahuddin, 2018. "The Environmental Kuznets Curve (EKC) and the environmental problem of the day," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1636-1642.
    22. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    23. Guo, Shibo & Zhang, Zhentao & Guo, Erjing & Fu, Zhenzhen & Gong, Jingjin & Yang, Xiaoguang, 2022. "Historical and projected impacts of climate change and technology on soybean yield in China," Agricultural Systems, Elsevier, vol. 203(C).
    24. Proskuryakova, Liliana N. & Ermolenko, Georgy V., 2019. "The future of Russia’s renewable energy sector: Trends, scenarios and policies," Renewable Energy, Elsevier, vol. 143(C), pages 1670-1686.
    25. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    26. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    27. David Newbery & Michael Pollitt & Robert Ritz & Wadim Strielkowski, 2017. "Market design for a high-renewables European electricity system," Working Papers EPRG 1711, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    28. Cesaro, Zac & Ives, Matthew & Nayak-Luke, Richard & Mason, Mike & Bañares-Alcántara, René, 2021. "Ammonia to power: Forecasting the levelized cost of electricity from green ammonia in large-scale power plants," Applied Energy, Elsevier, vol. 282(PA).
    29. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    30. Farmer, J. Doyne & Hepburn, Cameron & Beinhocker, Eric, 2018. "The Tipping Point: How the G20 Can Lead the Transition to a Prosperous Clean Energy Economy," INET Oxford Working Papers 2018-09, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    31. Herche, Wesley, 2017. "Solar energy strategies in the U.S. utility market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 590-595.
    32. Parviz Sohrabi & Behshad Jodeiri Shokri & Hesam Dehghani, 2023. "Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 207-216, June.
    33. ALI, Essossinam, 2018. "Impact of Climate Variability on Staple Food Crops Production in Northern Togo," MPRA Paper 91972, University Library of Munich, Germany, revised 10 Oct 2018.
    34. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    35. Francois Rozon & Craig McGregor & Michael Owen, 2023. "Long-Term Forecasting Framework for Renewable Energy Technologies’ Installed Capacity and Costs for 2050," Energies, MDPI, vol. 16(19), pages 1-20, September.
    36. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    37. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    38. Emily Burchfield & Neil Matthews-Pennanen & Justin Schoof & Christopher Lant, 2020. "Changing yields in the Central United States under climate and technological change," Climatic Change, Springer, vol. 159(3), pages 329-346, April.
    39. JongRoul Woo & Christopher L. Magee, 2018. "Forecasting the value of battery electric vehicles compared to internal combustion engine vehicles: the influence of driving range and battery technology," Papers 1806.06947, arXiv.org.
    40. Zadourian, Rubina & Klümper, Andreas, 2018. "Exact probability distribution function for the volatility of cumulative production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 59-66.
    41. Hann-Earl Kim & Yu-Sang Chang & Hee-Jin Kim, 2021. "Dynamic Electricity Intensity Trends in 91 Countries," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    42. David F. Hendry, 2020. "First in, First out: Econometric Modelling of UK Annual CO_2 Emissions, 1860–2017," Economics Papers 2020-W02, Economics Group, Nuffield College, University of Oxford.
    43. Rosaria Ciriminna & Francesco Meneguzzo & Lorenzo Albanese & Mario Pagliaro, 2017. "Solar street lighting: a key technology en route to sustainability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(2), March.
    44. Mario Coccia, 2019. "Technological Parasitism," Papers 1901.09073, arXiv.org.
    45. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.
    46. Li, Yanan & Lin, Jun & Qian, Yanjun & Li, Dehong, 2023. "Feed-in tariff policy for biomass power generation: Incorporating the feedstock acquisition process," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1113-1132.
    47. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
    48. Zhang, Bowen & Rees, Griffith & Solomon, Guy & Wilson, Alan, 2023. "Input-output analytics for urban systems: explorations in policy and planning," SocArXiv sruq7, Center for Open Science.
    49. Vecchiato, Riccardo, 2020. "Analogical reasoning, cognition, and the response to technological change: Lessons from mobile communication," Research Policy, Elsevier, vol. 49(5).
    50. Xaviery N. Penisa & Michael T. Castro & Jethro Daniel A. Pascasio & Eugene A. Esparcia & Oliver Schmidt & Joey D. Ocon, 2020. "Projecting the Price of Lithium-Ion NMC Battery Packs Using a Multifactor Learning Curve Model," Energies, MDPI, vol. 13(20), pages 1-18, October.
    51. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    52. Guanglu Zhang & Douglas Allaire & Venkatesh Shankar & Daniel A McAdams, 2019. "A case against the trickle-down effect in technology ecosystems," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-7, June.
    53. Sugandha Srivastav & Ryan Rafaty, 2023. "Political Strategies to Overcome Climate Policy Obstructionism," Papers 2304.14960, arXiv.org.
    54. Aydin, Erdal & Eichholtz, Piet & Yönder, Erkan, 2018. "The economics of residential solar water heaters in emerging economies: The case of Turkey," Energy Economics, Elsevier, vol. 75(C), pages 285-299.
    55. Pegels, Anna & Altenburg, Tilman, 2020. "Latecomer development in a “greening” world: Introduction to the Special Issue," World Development, Elsevier, vol. 135(C).
    56. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    57. Pearce, Phoebe & Slade, Raphael, 2018. "Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model," Energy Policy, Elsevier, vol. 116(C), pages 95-111.
    58. Wen, Xin & Jaxa-Rozen, Marc & Trutnevyte, Evelina, 2023. "Hindcasting to inform the development of bottom-up electricity system models: The cases of endogenous demand and technology learning," Applied Energy, Elsevier, vol. 340(C).
    59. James Holehouse & Hector Pollitt, 2021. "Non-equilibrium time-dependent solution to discrete choice with social interactions," Papers 2109.09633, arXiv.org, revised Jan 2022.
    60. Christopher L. Benson & Christopher L. Magee, 2018. "Data-Driven Investment Decision-Making: Applying Moore's Law and S-Curves to Business Strategies," Papers 1805.06339, arXiv.org.
    61. Hepburn, Cameron & Pfeiffer, Alexander & Vogt-Schilb, Adrien & J. Tulloch, Daniel, 2018. "Dead on arrival? Implicit stranded assets in leading IAM scenarios," INET Oxford Working Papers 2018-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    62. Hugo Confraria & Vitor Hugo Ferreira & Manuel Mira Godinho, 2021. "Emerging 21st Century technologies: Is Europe still falling behind?," Working Papers REM 2021/0188, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    63. Zhang, Guanglu & McAdams, Daniel A. & Shankar, Venkatesh & Darani, Milad Mohammadi, 2017. "Modeling the evolution of system technology performance when component and system technology performances interact: Commensalism and amensalism," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 116-124.

  16. 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).

    Cited by:

    1. 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.

  17. 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).

    Cited by:

    1. Anatoliy Alabugin & Konstantin Osintsev & Sergei Aliukov & Zlata Almetova & Yaroslav Bolkov, 2023. "Mathematical Foundations for Modeling a Zero-Carbon Electric Power System in Terms of Sustainability," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    2. Mitri Kitti & Matti Pihlava & Hannu Salonen, 2016. "Search in Networks: The Case of Board Interlocks," Discussion Papers 116, Aboa Centre for Economics.
    3. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    4. Anatoliy Alabugin & Sergei Aliukov & Tatyana Khudyakova, 2022. "Review of Models for and Socioeconomic Approaches to the Formation of Foresight Control Mechanisms: A Genesis," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    5. Cremonini, Marco, 2016. "Introducing serendipity in a social network model of knowledge diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 64-71.

  18. 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).

    Cited by:

    1. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.

Articles

  1. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    See citations under working paper version above.
  2. 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).
    See citations under working paper version above.
  3. 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.
    See citations under working paper version above.
  4. 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).

    Cited by:

    1. Marco Pangallo & Alberto Aleta & R. Maria del Rio Chanona & Anton Pichler & David Mart'in-Corral & Matteo Chinazzi & Franc{c}ois Lafond & Marco Ajelli & Esteban Moro & Yamir Moreno & Alessandro Vespig, 2022. "The unequal effects of the health-economy tradeoff during the COVID-19 pandemic," Papers 2212.03567, arXiv.org.
    2. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118466, University Library of Munich, Germany.
    3. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    4. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118389, University Library of Munich, Germany.
    5. Hardik Rajpal & Omar A Guerrero, 2023. "Synergistic Small Worlds that Drive Technological Sophistication," Papers 2301.04579, arXiv.org, revised Jul 2023.
    6. Tijs W. Alleman & Jan M. Baetens, 2024. "Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic," Papers 2401.08442, arXiv.org.

  5. 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).
    See citations under working paper version above.
  6. 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 and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    See citations under working paper version above.
  7. 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.

    Cited by:

    1. Enrico Bergamini & Georg Zachmann, 2020. "Exploring EU’s Regional Potential in Low-Carbon Technologies," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
    2. Chand Bhatt, Priyanka & Kumar, Vimal & Lu, Tzu-Chuen & Daim, Tugrul, 2021. "Technology convergence assessment: Case of blockchain within the IR 4.0 platform," Technology in Society, Elsevier, vol. 67(C).
    3. Yang, Zaoli & Zhang, Weijian & Yuan, Fei & Islam, Nazrul, 2021. "Measuring topic network centrality for identifying technology and technological development in online communities," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Marín, P.E. & Milian, Y. & Ushak, S. & Cabeza, L.F. & Grágeda, M. & Shire, G.S.F., 2021. "Lithium compounds for thermochemical energy storage: A state-of-the-art review and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Xipeng Liu & Xinmiao Li, 2022. "Early Identification of Significant Patents Using Heterogeneous Applicant-Citation Networks Based on the Chinese Green Patent Data," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    6. Wang, Jingjing & Xu, Shuqi & Mariani, Manuel S. & Lü, Linyuan, 2021. "The local structure of citation networks uncovers expert-selected milestone papers," Journal of Informetrics, Elsevier, vol. 15(4).
    7. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    8. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
    9. Wang, Chang & Geng, Hongjun & Sun, Rui & Song, Huiling, 2022. "Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining," Resources Policy, Elsevier, vol. 77(C).

  8. 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.
    See citations under working paper version above.
  9. 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.
    See citations under working paper version above.
  10. 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.
    See citations under working paper version above.
  11. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    See citations under working paper version above.
  12. Lafond, François, 2015. "Self-organization of knowledge economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 150-165.
    See citations under working paper version above.
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