Calvino, F. and L. Fontanelli (2026), "AI, productivity and digital capabilities: Cross-country evidence from early adoption", accepted for publication on Industrial and Corporate Change.
Calvino, F. and L. Fontanelli (2026), "AI Users are Not All Alike: The Characteristics of French Firms Buying and Developing AI", Research Policy, 55(5), DOI: 10.1016/j.respol.2026.105473. [SSRN; CESIfo Working paper; previous LEM WP]
Calvino, F. and L. Fontanelli (2026), "Decoding AI: an early look at how French firms use AI", Eurasian Business Review, DOI: 10.1007/s40821-026-00347-9.
Fontanelli, L., F. Calvino, C. Criscuolo, L. Nesta, E. Verdolini (2025), "Human after all: Occupations at the core of AI adoption", Labour Economics, 95(2025) 102754. DOI: 10.1016/j.labeco.2025.102754 [CEP Discussion Paper version]
Calvino, F., D. Giachini and M. Guerini (2022). “The age distribution of business firms”, Journal of Evolutionary Economics, 32, p. 205-245. DOI: 10.1007/s00191-021-00747-2.
Calvino, F. (2019). “Technological Innovation and the Distribution of Employment Growth: a firm-level analysis”. Industrial and Corporate Change, 28(1), p. 177-202. DOI: 10.1093/icc/dty003.
Calvino, F. and M. E. Virgillito (2018). “The Innovation-Employment nexus: a critical survey of theory and empirics”. Journal of Economic Surveys, 32(1), p. 83-117. DOI: 10.1111/joes.12190.
Calvino, F., C. Criscuolo and C. Menon (2018). “A cross-country analysis of start-up employment dynamics”. Industrial and Corporate Change, 27(4), p. 677-698. DOI: 10.1093/icc/dty006. [Media: The Atlantic]
Calvino, F., C. Criscuolo, C. Menon and A. Secchi (2018). “Growth volatility and size: A firm-level study”. Journal of Economic Dynamics and Control, 90(2018), p. 390-407. DOI: 10.1016/j.jedc.2018.04.001. [Media: PSE]
Calvino, F., C. Criscuolo, C. Menon and K. Ikeuchi (2017). “Start-up dynamics in Japan: Comparative evidence from the DynEmp v.2 database”. Japanese Economic Review, 68(2), p. 188-199. DOI: 10.1111/jere.12130.
Dahlke, J., F. Calvino and A. Kostiuchenko (2026), "Synthetic Firms: Employing LLMs as Organisational Simulacra", Available at SSRN: https://ssrn.com/abstract=6681238
Calvino, F., H. Costa and D. Haerle (2026), “Digital technology diffusion in the age of AI: Cross-country evidence from microdata”, OECD Science, Technology and Industry Working Papers, No. 2026/01, OECD Publishing, Paris, https://doi.org/10.1787/ebc2debe-en.
Calvino, F., D. Haerle and S. Liu (2025), “Is generative AI a General Purpose Technology?: Implications for productivity and policy”, OECD Artificial Intelligence Papers, No. 40, OECD Publishing, Paris, https://doi.org/10.1787/704e2d12-en.
Calvino, F., A. Dechezleprêtre and D. Haerle (2025), “How can the digital transformation affect the net-zero transition?: A conceptual framework for the "twin" transition”, OECD Science, Technology and Industry Working Papers, No. 2025/17, OECD Publishing, Paris, https://doi.org/10.1787/4ee71f6d-en.
Calvino, F. et al. (2025), “Productivity among firms patenting in fourth industrial revolution technologies: A focus on Canadian firms”, OECD Science, Technology and Industry Working Papers, No. 2025/18, OECD Publishing, Paris, https://doi.org/10.1787/4b014905-en.
Calvino, F., J. Reijerink and L. Samek (2025), “The effects of generative AI on productivity, innovation and entrepreneurship”, OECD Artificial Intelligence Papers, No. 39, OECD Publishing, Paris, https://doi.org/10.1787/b21df222-en. [Media: OECD blog]
Calvino, F., H. Costa, F. Manaresi and N. Scholl (2025), “Young firms, job quality and inclusiveness”, OECD Science, Technology and Industry Working Papers, No. 2025/08, OECD Publishing, Paris, DOI: 10.1787/a6bb0f3a-en [Media: OECD blog] (in preparation for submission)
Calvino, F., H. Dernis, L. Samek and A. Ughi (2024), "A sectoral taxonomy of AI intensity", OECD Artificial Intelligence Papers, No. 30, OECD Publishing, Paris, DOI: 10.1787/1f6377b5-en. [Media: OECD blog]
Calvino, F., C. Criscuolo and A. Ughi (2024), "Digital adoption during COVID-19: Cross-country evidence from microdata", OECD Science, Technology and Industry Working Papers, No. 2024/03, OECD Publishing, Paris, DOI: 10.1787/f63ca261-en.
Calvino, F., C. Criscuolo, H. Dernis, L. Samek (2023). "What technologies are at the core of AI? An exploration based on patent data", OECD Artificial Intelligence Papers, No. 6, OECD Publishing, Paris, DOI: 10.1787/32406765-en.
Borgonovi, F., F. Calvino, C. Criscuolo, J. Nania, J. Nitschke, L. O’Kane, L. Samek and H. Seitz (2023). "Emerging trends in AI skill demand across 14 OECD countries", OECD Artificial Intelligence Papers, No. 2, OECD Publishing, Paris, DOI: 10.1787/7c691b9a-en. [Media: VoxEU, Lightcast]
Calligaris, S., F. Calvino, M. Reinhard and R. Verlhac (2023), “Is there a trade-off between productivity and employment? A cross-country micro-to-macro study”, OECD Science, Technology and Industry Policy Papers, No. 157, OECD Publishing, Paris. DOI: 10.1787/99bede51-en. [Media: VoxEU] (in preparation for submission)
Calvino, F. and L. Fontanelli (2023), “A portrait of AI adopters across countries: firm characteristics, assets’ complementarities, and productivity”, OECD Science, Technology and Industry Working Papers, No. 2023/02, OECD Publishing, Paris. DOI: 110.1787/0fb79bb9-en. [Media: Il Foglio, VoxEU]
Dernis, H., F. Calvino, L. Moussiegt, D. Nawa, L. Samek and M. Squicciarini (2023). “Identifying artificial intelligence actors using online data”, OECD Science, Technology and Industry Working Papers, No. 2023/01, OECD Publishing, Paris. DOI: 10.1787/1f5307e7-en.
Calvino, F., L. Samek, M. Squicciarini, and C. Morris (2022), “Identifying and characterising AI adopters: A novel approach based on big data”, OECD Science, Technology and Industry Working Papers, No. 2022/06, OECD Publishing, Paris. DOI: 10.1787/154981d7-en. [Media: TPI]
Calvino, F., et al. (2022), “Closing the Italian digital gap: The role of skills, intangibles and policies”, OECD Science, Technology and Industry Policy Papers, No. 126, OECD Publishing, Paris. DOI: https://doi.org/10.1787/e33c281e-en. [Media: LaVoce, Leurispes]
Calvino, F., C. Criscuolo and R. Verlhac (2020). “Declining business dynamism: structural and policy determinants”, OECD Science, Technology and Industry Policy Papers, No. 94, OECD Publishing, Paris. DOI: https://doi.org/10.1787/77b92072-en. [Media: The Economist, Financial Times, Policy note]
Desnoyers-James, I., S. Calligaris and F. Calvino (2019). “DynEmp and MultiProd: Metadata”, OECD Science, Technology and Industry Working Papers, No. 2019/03, OECD Publishing, Paris. DOI: 10.1787/3dcde184-en.
Bajgar, M., S. Calligaris, F. Calvino, C. Criscuolo and J. Timmis (2019). “Bits and bolts. The digital transformation and manufacturing”, OECD Science, Technology and Industry Working Papers, No. 2019/01, OECD Publishing, Paris. DOI: 10.1787/c917d518-en.
Calvino, F. and C. Criscuolo (2019). “Business dynamics and Digitalisation”, OECD Science, Technology and Industry Policy Papers, No. 62, OECD Publishing, Paris. DOI: https://doi.org/10.1787/6e0b011a-en.
Calvino, F., C. Criscuolo, L. Marcolin and M. Squicciarini (2018). “A taxonomy of digital intensive sectors”, OECD Science, Technology and Industry Working Papers, No. 2018/14, OECD Publishing, Paris. DOI: 10.1787/f404736a- en.
Tsebe, M., V. Vukeya, C. Lewis, F. Calvino and C. Criscuolo (2018). “Firm dynamics in South Africa”, OECD Economics Department Working Papers, No. 1528, OECD Publishing, Paris. DOI: 10.1787/92b26361-en.
Calvino, F., C. Criscuolo and C. Menon (2016), “No country for young firms? Start-up dynamics and national policies”, OECD Science, Technology and Industry Policy Papers, No. 29, OECD Publishing, Paris. DOI: 10.1787/5jm22p40c8mw-en. [Media: The Atlantic, Il Foglio, Policy note]
Calvino, F., C. Criscuolo and C. Menon (2015), “Cross-country evidence on start-up dynamics”, OECD Science, Technology and Industry Working Papers, 2015/06, OECD Publishing, Paris. DOI: 10.1787/5jrxtkb9mxtb-en.
Calvino, F. and A. Ughi (2026), "Intelligenza artificiale e produttività: canali, evidenze empiriche e sfide per l'Italia", accepted for publication on Economia Italiana.
Calvino, F. and C. Criscuolo (2024), "Generative AI and productivity: Challenges, opportunities and the role of policy", Dynamics of Generative AI (ed. T. Schrepel and V. Stocker), Network Law Review, Winter 2023, https://www.networklawreview.org/calvino-criscuolo-generative-ai/
Calvino, F. and C. Criscuolo (2022), “Gone digital: Technology Diffusion in the Digital Era”, in Qureshi, Z. and Woo, C. (Eds.), Shifting Paradigms: Growth, Finance, Jobs, and Inequality in the Digital Economy, pp. 35-72, Brookings Institution Press.
Agresti, S., F. Calvino, C. Criscuolo, F. Manaresi, D. Pilat, R. Verlhac (2022), "Meer aandacht voor bedrijfsdynamiek vereist na de coronacrisis", ESB 107 (4811S), 38-41, https://esb.nu/meer-aandacht-voor-bedrijfsdynamiek-vereist- na-de-coronacrisis/.
Calvino, F. and V. Spiezia (2020), “The digital transformation and labour demand”, in Zimmermann, K. F. (Eds.), Handbook of Labor, Human Resources and Population Economics, pp. 1-17, Springer, Cham. DOI: 10.1007/978-3-319-57365-6_19-3.
Blanchenay, P., C. Criscuolo and F. Calvino (2016), “Business dynamics and public policies: Cross-country evidence from new data”. In Kauffman Foundation's New Entrepreneurial Growth Agenda, available at http://www.kauffman.org/neg/section-3.
"AI diffusion within multinationals", with C. Criscuolo, T. DeStefano, J. Timmis and A. Ughi [preliminary presentation]
"Competition in the age of AI: initial evidence from microdata", with S. Calligaris, H. Costa, A. Greppi and O. Pallanch
"AI and subsequent innovation: evidence from patent data", with J. Reijerink and L. Samek
"AI-augmented R&D", with A. Bergeaud and J. Reijerink