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Catherine D. Buffington

Personal Details

First Name:Catherine
Middle Name:D.
Last Name:Buffington
Suffix:
RePEc Short-ID:pbu404
[This author has chosen not to make the email address public]
301-763-1838

Affiliation

Census Bureau
Department of Commerce
Government of the United States

Washington, District of Columbia (United States)
http://www.census.gov/
RePEc:edi:cengvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Jose Maria Barrero & Nicholas Bloom & Kathryn Bonney & Cory L. Breaux & Cathy Buffington & Steven J. Davis & Lucia S. Foster & Brian McKenzie & Keith Savage & Cristina Tello-Trillo, 2025. "Tapping Business and Household Surveys to Sharpen Our View of Work from Home," NBER Working Papers 33951, National Bureau of Economic Research, Inc.
  2. Kathryn Bonney & Cory Breaux & Cathy Buffington & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Keith Savage, 2024. "Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey," NBER Working Papers 32319, National Bureau of Economic Research, Inc.
  3. Erik Brynjolfsson & Cathy Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments," NBER Working Papers 31062, National Bureau of Economic Research, Inc.
  4. Daron Acemoglu & Gary W. Anderson & David N. Beede & Cathy Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Pascual Restrep, 2022. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Working Papers 30659, National Bureau of Economic Research, Inc.
  5. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David N. Beede & Cathy Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," NBER Working Papers 28290, National Bureau of Economic Research, Inc.
  6. Catherine Buffington & Andrew Hennessy & Scott Ohlmacher, 2018. "The Management and Organizational Practices Survey (MOPS): Collection and Processing," Working Papers 18-51, Center for Economic Studies, U.S. Census Bureau.
  7. Catherine Buffington & Javier Miranda & Robert Seamans, 2018. "Development of Survey Questions on Robotics Expenditures and Use in U.S. Manufacturing Establishments," Working Papers 18-44, Center for Economic Studies, U.S. Census Bureau.
  8. Catherine Buffington & Lucia Foster & Ron Jarmin & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): An Overview," Working Papers 16-28, Center for Economic Studies, U.S. Census Bureau.
  9. Catherine Buffington & Kenny Herrell & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): Cognitive Testing," Working Papers 16-53, Center for Economic Studies, U.S. Census Bureau.

Articles

  1. Catherine Buffington & Lucia Foster & Ron Jarmin & Scott Ohlmacher & Scott Ohlmacher, 2017. "The management and organizational practices survey (MOPS): An overview1," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 1-26.
  2. Catherine Buffington & Benjamin Cerf & Christina Jones & Bruce A. Weinberg, 2016. "STEM Training and Early Career Outcomes of Female and Male Graduate Students: Evidence from UMETRICS Data Linked to the 2010 Census," American Economic Review, American Economic Association, vol. 106(5), pages 333-338, May.

Chapters

  1. Jose Maria Barrero & Nicholas Bloom & Kathryn Bonney & Cory Breaux & Catherine Buffington & Steven J. Davis & Lucia Foster & Brian McKenzie & Keith Savage & Cristina Tello-Trillo, 2025. "Tapping Business and Household Surveys to Sharpen Our View of Work from Home," NBER Chapters, in: The Changing Nature of Work, National Bureau of Economic Research, Inc.
  2. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John Haltiwanger & Zachary Kroff & Pascual Restre, 2024. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 13-55, National Bureau of Economic Research, Inc.

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.

Working papers

  1. Jose Maria Barrero & Nicholas Bloom & Kathryn Bonney & Cory L. Breaux & Cathy Buffington & Steven J. Davis & Lucia S. Foster & Brian McKenzie & Keith Savage & Cristina Tello-Trillo, 2025. "Tapping Business and Household Surveys to Sharpen Our View of Work from Home," NBER Working Papers 33951, National Bureau of Economic Research, Inc.

    Cited by:

    1. David R. Agrawal & Xinyu Chen, 2026. "State and Local Tax Policy in a Time of Telework," CESifo Working Paper Series 12422, CESifo.

  2. Kathryn Bonney & Cory Breaux & Cathy Buffington & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Keith Savage, 2024. "Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey," NBER Working Papers 32319, National Bureau of Economic Research, Inc.

    Cited by:

    1. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org, revised Apr 2026.
    2. Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Steven J. Davis & Kevin Foster & Aaron Jalca & Brent Meyer & Paul Mizen & Michael Navarrete & Pawel Smietanka & Gregory Thwaites & Ben Wang & Ivan Y, 2026. "Firm Data on AI," FRB Atlanta Working Paper 2026-3, Federal Reserve Bank of Atlanta.
      • Ivan Yotzov & Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Steven J. Davis & Kevin M. Foster & Aaron Jalca & Brent H. Meyer & Paul Mizen & Michael A. Navarrete & Pawel Smietanka & Gregory Thwai, 2026. "Firm Data on AI," NBER Working Papers 34836, National Bureau of Economic Research, Inc.
    3. Fabian Kosse & Tim Leffler & Arna Woemmel, 2025. "Digital Skills: Social Disparities and the Impact of Early Mentoring," SOEPpapers on Multidisciplinary Panel Data Research 1222, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Alexander Bick & Adam Blandin & David Deming, 2024. "The Rapid Adoption of Generative AI," Working Papers 2024-027, Federal Reserve Bank of St. Louis, revised 27 Oct 2025.
    5. Etheridge, Ben & Bharier, David & Morais, Paulo, 2026. "AI adoption and workforce change in SMEs," ISER Working Paper Series 2026-01, Institute for Social and Economic Research.
    6. Yoshiki Ando & Emin Dinlersoz & Jeremy Greenwood & Ruben Piazzesi, 2025. "Technifying Ventures," Economie d'Avant Garde Research Reports 40, Economie d'Avant Garde.
    7. Zara Contractor & Germán Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," CEDLAS, Working Papers 0359, CEDLAS, Universidad Nacional de La Plata.
    8. Anthony Harding & Juan Moreno-Cruz, 2024. "Watts and Bots: The Energy Implications of AI Adoption," Papers 2409.06626, arXiv.org.
    9. Alexander Bick & Adam Blandin & David J. Deming & Nicola Fuchs-Schündeln & Jonas Jessen & David Deming, 2026. "Mind the Gap: AI Adoption in Europe and the US," CESifo Working Paper Series 12584, CESifo.
    10. Liu, Yan & Wang, He, 2026. "Who on earth is using Generative AI?," World Development, Elsevier, vol. 199(C).
    11. Florencia Jaccoud, 2025. "Robots & AI exposure and wage inequality: a within occupation approach," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1035-1090, December.
    12. Lorenzo Bencivelli & Sara Formai & Elena Mattevi & Tullia Padellini, 2025. "Embracing the digital transition: the adoption of cloud computing and AI by Italian firms," Questioni di Economia e Finanza (Occasional Papers) 946, Bank of Italy, Economic Research and International Relations Area.
    13. Lu Fang & Zhe Yuan & Kaifu Zhang & Dante Donati & Miklos Sarvary, 2025. "Generative AI and Firm Productivity: Field Experiments in Online Retail," Papers 2510.12049, arXiv.org, revised Feb 2026.
    14. Bonney, Kathryn & Breaux, Cory & Buffington, Catherine & Dinlersoz, Emin & Foster, Lucia & Goldschlag, Nathan & Haltiwanger, John & Kroff, Zachary & Savage, Keith, 2024. "The impact of AI on the workforce: Tasks versus jobs?," Economics Letters, Elsevier, vol. 244(C).
    15. Benjamin Lahey & Benjamin Hyman & Karen Ni & Laura Pilossoph, 2025. "How Retrainable Are AI-Exposed Workers?," Staff Reports 1165, Federal Reserve Bank of New York.
    16. Eleanor Wiske Dillon & Sonia Jaffe & Nicole Immorlica & Christopher T. Stanton, 2025. "Shifting Work Patterns with Generative AI," Papers 2504.11436, arXiv.org, revised Nov 2025.
    17. Thomas Licht & Klaus Wohlrabe, 2024. "AI Adoption Among German Firms," CESifo Working Paper Series 11459, CESifo.
    18. Jacob Dominski & Christopher Hoy & Cassandra Merritt & Yong Suk Lee, 2026. "Managers as gatekeepers in the age of AI," IFS Working Papers W26/23, Institute for Fiscal Studies.
    19. Iñaki Aldasoro & Leonardo Gambacorta & Rozalia Pal & Debora Revoltella & Christoph Weiss & Marcin Wolski, 2026. "AI adoption, productivity and employment: evidence from European firms," BIS Working Papers 1325, Bank for International Settlements.
    20. Leland D. Crane & Paul E. Soto, 2026. "AI and Coder Employment: Compiling the Evidence," Finance and Economics Discussion Series 2026-018, Board of Governors of the Federal Reserve System (U.S.).
    21. Fabian Kosse & Tim Leffler & Arna Woemmel, 2024. "Digital Skills: Social Disparities and the Impact of Early Mentoring," CESifo Working Paper Series 11570, CESifo.
    22. Jaccoud, Florencia, 2025. "Robots & AI Exposure and Wage Inequality," MERIT Working Papers 2025-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    23. Matilde Mas & Francisco Pérez & Dirk Pilat, 2025. "Productivity, technology and intangible assets," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 16(2), pages 321-360, June.

  3. Daron Acemoglu & Gary W. Anderson & David N. Beede & Cathy Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Pascual Restrep, 2022. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Working Papers 30659, National Bureau of Economic Research, Inc.

    Cited by:

    1. Vu, Lien Phuong Thi & Mai, Anh Ngoc & Nguyen, Thai Hoang & Nguyen, Tuan Hoang & Nguyen, Thuy Thanh & Bui, Quyen To, 2025. "Do narrative-related disclosures in annual reports influence corporate risk-taking? Insights from an emerging economy," International Review of Economics & Finance, Elsevier, vol. 103(C).
    2. Andrés César, 2025. "The Future of Work(ers) in the Age of Technological Revolution," CEDLAS, Working Papers 0344, CEDLAS, Universidad Nacional de La Plata.
    3. Mann, Katja & Pozzoli, Dario, 2022. "Automation and Low-Skill Labor," IZA Discussion Papers 15791, IZA Network @ LISER.
    4. Firooz, Hamid & Liu, Zheng & Wang, Yajie, 2025. "Automation and the rise of superstar firms," Journal of Monetary Economics, Elsevier, vol. 151(C).
    5. Heluo, Yuxi & Fabel, Oliver, 2024. "Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    6. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    7. Mann, Katja & Pozzoli, Dario, 2024. "Robots and immigration," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    8. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    9. Bisio, Laura & Cuzzola, Angelo & Grazzi, Marco & Moschella, Daniele, 2025. "The dynamics of automation adoption: Firm-level heterogeneity and aggregate employment effects," European Economic Review, Elsevier, vol. 173(C).
    10. Agustí Segarra-Blasco & Josep Tomàs-Porres & Mercedes Teruel, 2025. "AI, robots and innovation in European SMEs," Small Business Economics, Springer, vol. 65(1), pages 719-745, June.
    11. Jabłońska, Julia & Mućk, Jakub, 2025. "Appetite for Destruction. A firm-level portrait of automation in Poland," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 391-402.
    12. Comin, Diego A. & Cirera, Xavier & Cruz, Marcio, 2025. "Technology Sophistication across Establishments," Policy Research Working Paper Series 11051, The World Bank.
    13. Erik Brynjolfsson & Catherine Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments," Working Papers 23-14, Center for Economic Studies, U.S. Census Bureau.
    14. Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2025. "Human after all: Occupations at the core of AI adoption," Labour Economics, Elsevier, vol. 95(C).
    15. Firooz, Hamid & Leduc, Sylvain & Liu, Zheng, 2025. "Reshoring, automation, and labor markets under trade uncertainty," Journal of International Economics, Elsevier, vol. 156(C).
    16. Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2024. "Industrial Policy in Times of Market Power," CESifo Working Paper Series 11544, CESifo.
    17. Bonney, Kathryn & Breaux, Cory & Buffington, Catherine & Dinlersoz, Emin & Foster, Lucia & Goldschlag, Nathan & Haltiwanger, John & Kroff, Zachary & Savage, Keith, 2024. "The impact of AI on the workforce: Tasks versus jobs?," Economics Letters, Elsevier, vol. 244(C).
    18. Masayuki MORIKAWA, 2024. "Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys," Discussion papers 24074, Research Institute of Economy, Trade and Industry (RIETI).
    19. Deepika Baskar Prabhakar & Hamid Firooz & Sylvain Leduc & Zheng Liu, 2025. "Will Trade Uncertainty Boost Automation?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2025(20), pages 1-6, September.
    20. Rademakers Emilie & Zierahn-Weilage Ulrich, 2024. "New Technologies: End of Work or Structural Change?," The Economists' Voice, De Gruyter, vol. 21(2), pages 335-344.
    21. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    22. Ince, Barıs & Iskenderoglu, Cansu, 2025. "Automation cost flexibility and firm value," Journal of Corporate Finance, Elsevier, vol. 94(C).
    23. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.

  4. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David N. Beede & Cathy Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," NBER Working Papers 28290, National Bureau of Economic Research, Inc.

    Cited by:

    1. Martin Fleming, 2023. "Enterprise Information and Communications Technology – Software Pricing and Developer Productivity Measurement," Working Papers 037, The Productivity Institute.
    2. Arntz, Melanie & Böhm, Michael & Graetz, Georg & Gregory, Terry & Lehmer, Florian & Lipowski, Cäcilia, 2024. "Firm-level technology adoption in times of crisis," ZEW Discussion Papers 24-057, ZEW - Leibniz Centre for European Economic Research.
    3. Hamid Firooz & Zheng Liu & Yajie Wang, 2024. "Automation and the Rise of Superstar Firms," Working Paper Series 2022-05, Federal Reserve Bank of San Francisco.
    4. Kikuchi, Tatsuru, 2025. "AI Investment and Firm Productivity: How Executive Demographics Drive Technology Adoption and Performance in Japanese Enterprises," MPRA Paper 126734, University Library of Munich, Germany.
    5. Duso, Tomaso & Schiersch, Alexander, 2025. "Let's switch to the cloud: Cloud usage and its effect on labor productivity," Information Economics and Policy, Elsevier, vol. 70(C).
    6. Charles Hoffreumon & Chris CM Forman & Nicolas van Zeebroeck, 2024. "Make or buy your artificial intelligence? Complementarities in technology sourcing," ULB Institutional Repository 2013/369623, ULB -- Universite Libre de Bruxelles.
    7. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, IZA Network @ LISER.
    8. Naudé, Wim & Bray, Amy & Lee, Celina, 2021. "Crowdsourcing Artificial Intelligence in Africa: Findings from a Machine Learning Contest," IZA Discussion Papers 14545, IZA Network @ LISER.
    9. Heluo, Yuxi & Fabel, Oliver, 2024. "Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    10. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    11. Ma, Wenting & Ouimet, Paige & Simintzi, Elena, 2025. "Mergers and acquisitions, technological change, and inequality," Journal of Financial Economics, Elsevier, vol. 172(C).
    12. Gathmann, Christina & Kagerl, Christian & Pohlan, Laura & Roth, Duncan H.W., 2023. "The Pandemic Push: Digital Technologies and Workforce Adjustments," IZA Discussion Papers 16062, IZA Network @ LISER.
    13. G. Jacob Blackwood & Cindy Cunningham & Matthew Dey & Lucia Foster & Cheryl Grim & John Haltiwanger & Rachel Nesbit & Sabrina Wulff Pabilonia & Jay Stewart & Cody Tuttle & Zoltan Wolf, 2023. "Opening the Black Box: Task and Skill Mix and Productivity Dispersion," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 323-360, National Bureau of Economic Research, Inc.
    14. Emin Dinlersoz & Can Dogan & Nikolas Zolas, 2024. "Starting Up AI," Working Papers 24-09, Center for Economic Studies, U.S. Census Bureau.
    15. Alguacil, Maite & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2022. "Robot adoption and export performance: Firm-level evidence from Spain," Economic Modelling, Elsevier, vol. 114(C).
    16. Angélica Pigola & Bruno Fischer & Gustavo Hermínio Salati Marcondes de Moraes, 2024. "Impacts of Digital Entrepreneurial Ecosystems on Sustainable Development: Insights from Latin America," Sustainability, MDPI, vol. 16(18), pages 1-30, September.
    17. Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2021. "Coevolution of Job Automation Risk and Workplace Governance," IZA Discussion Papers 14788, IZA Network @ LISER.
    18. Ruyu Chen & Natarajan Balasubramanian & Chris Forman, 2024. "How does worker mobility affect business adoption of a new technology? The case of machine learning," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1510-1538, August.
    19. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Krof & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," Working Papers 23-48, Center for Economic Studies, U.S. Census Bureau.
    20. Haefner, Naomi & Parida, Vinit & Gassmann, Oliver & Wincent, Joakim, 2023. "Implementing and scaling artificial intelligence: A review, framework, and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    21. Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2025. "Human after all: Occupations at the core of AI adoption," Labour Economics, Elsevier, vol. 95(C).
    22. Tatsuru Kikuchi, 2025. "AI Investment and Firm Productivity: How Executive Demographics Drive Technology Adoption and Performance in Japanese Enterprises," Papers 2508.03757, arXiv.org.
    23. Marioni, Larissa da Silva & Rincon-Aznar, Ana & Venturini, Francesco, 2024. "Productivity performance, distance to frontier and AI innovation: Firm-level evidence from Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    24. Zoran Aralica & Bruno Skrinjaric, 2021. "Adoption of digital and ICT technologies and firms’ productivity," Working Papers 2102, The Institute of Economics, Zagreb.
    25. Lorenzo Bencivelli & Sara Formai & Elena Mattevi & Tullia Padellini, 2025. "Embracing the digital transition: the adoption of cloud computing and AI by Italian firms," Questioni di Economia e Finanza (Occasional Papers) 946, Bank of Italy, Economic Research and International Relations Area.
    26. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    27. Calza, Elisa & Lavopa, Alejandro & Ligia Zagato, 2022. "Advanced digital technologies and industrial resilience during the COVID-19 pandemic: A firm-level perspective," MERIT Working Papers 2022-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    28. Andres, Raphaela & Niebel, Thomas & Viete, Steffen, 2024. "Do capital incentive policies support today’s digitization needs?," Telecommunications Policy, Elsevier, vol. 48(1).
    29. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2022. "Robots, Digitalization, and Worker Voice," GLO Discussion Paper Series 1038, Global Labor Organization (GLO).
    30. Masayuki MORIKAWA, 2024. "Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys," Discussion papers 24074, Research Institute of Economy, Trade and Industry (RIETI).
    31. Rademakers Emilie & Zierahn-Weilage Ulrich, 2024. "New Technologies: End of Work or Structural Change?," The Economists' Voice, De Gruyter, vol. 21(2), pages 335-344.
    32. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    33. Han, Luyi & Wojan, Timothy R. & Goetz, Stephan J., 2023. "Experimenting in the cloud: The digital divide's impact on innovation," Telecommunications Policy, Elsevier, vol. 47(7).
    34. Filippo Belloc & Gabriel Burdin & Fabio Landini, 2023. "Advanced Technologies and Worker Voice," Economica, London School of Economics and Political Science, vol. 90(357), pages 1-38, January.
    35. Cassandra Estep & Emily E. Griffith & Nikki L. MacKenzie, 2024. "How do financial executives respond to the use of artificial intelligence in financial reporting and auditing?," Review of Accounting Studies, Springer, vol. 29(3), pages 2798-2831, September.
    36. Danilov, Anastasia & Chugunova, Marina, 2022. "Use of digital technologies for HR management in Germany: Survey evidence," MPRA Paper 111530, University Library of Munich, Germany.
    37. Inha Oh & Jungho Kim, 2023. "Frontiers and laggards: Which firms benefit from adopting advanced digital technologies?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 753-766, March.
    38. João Amador & Cátia Silva, 2023. "A view on ICT and digitalization in Portuguese firms," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  5. Catherine Buffington & Andrew Hennessy & Scott Ohlmacher, 2018. "The Management and Organizational Practices Survey (MOPS): Collection and Processing," Working Papers 18-51, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Alice Zawacki & Scott Ohlmacher & Struther Van Horn, 2021. "Developing Content for the Management and Organizational Practices Survey-Hospitals (MOPS-HP)," Working Papers 21-25, Center for Economic Studies, U.S. Census Bureau.
    2. Nicholas Bloom & Leonardo Iacovone & Mariana Pereira-Lopez & John Van Reenen, 2022. "Management and misallocation in Mexico," POID Working Papers 024, Centre for Economic Performance, LSE.
    3. Nicholas Bloom & Steven J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta-Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 20-41, Center for Economic Studies, U.S. Census Bureau.
    4. Eva Labro & James D. Omartian, 2023. "Managing Employee Retention Concerns: Evidence from U.S. Census Data," Working Papers 23-07, Center for Economic Studies, U.S. Census Bureau.
    5. Masayuki MORIKAWA, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).

  6. Catherine Buffington & Javier Miranda & Robert Seamans, 2018. "Development of Survey Questions on Robotics Expenditures and Use in U.S. Manufacturing Establishments," Working Papers 18-44, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Derrick Choe & Alexander Oettl & Robert Seamans, 2020. "What’s Driving Entrepreneurship and Innovation in the Transport Sector?," NBER Working Papers 27284, National Bureau of Economic Research, Inc.
    2. Brynjolfsson, Erik & Buffington, Catherine & Goldschlag, Nathan & Li, J. Frank & Miranda, Javier & Seamans, Robert, 2023. "The characteristics and geographic distribution of robot hubs in U.S. manufacturing establishments," IWH Discussion Papers 7/2023, Halle Institute for Economic Research (IWH).
    3. Masayuki MORIKAWA, 2020. "Heterogeneous Relationships between Automation Technologies and Skilled Labor: Evidence from a Firm Survey," Discussion papers 20004, Research Institute of Economy, Trade and Industry (RIETI).
    4. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David Beede & Catherine Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," Working Papers 20-40, Center for Economic Studies, U.S. Census Bureau.
    5. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.

  7. Catherine Buffington & Lucia Foster & Ron Jarmin & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): An Overview," Working Papers 16-28, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Alice Zawacki & Scott Ohlmacher & Struther Van Horn, 2021. "Developing Content for the Management and Organizational Practices Survey-Hospitals (MOPS-HP)," Working Papers 21-25, Center for Economic Studies, U.S. Census Bureau.
    2. Enghin Atalay & Ali Hortacsu & Chad Syverson & Mary Li, 2018. "How Wide is the Firm Border?," 2018 Meeting Papers 124, Society for Economic Dynamics.
    3. Nicholas Bloom & Steven J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta-Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 20-41, Center for Economic Studies, U.S. Census Bureau.
    4. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Megha Patnaik & Itay Saporta-Eksten & John Van Reenen, 2017. "What Drives Differences in Management?," Working Papers 17-32, Center for Economic Studies, U.S. Census Bureau.
    5. Kim, Minho & Chung, Sunghoon & Lee, Changkeun, 2019. "Smart Policies for Smart Factories," KDI Focus 97, Korea Development Institute (KDI).
    6. Ohlsbom, Roope & Maliranta, Mika, 2019. "Management Practises in Finnish Manufacturing Establishments: Evidence from FMOP," ETLA Working Papers 69, The Research Institute of the Finnish Economy.
    7. Agnes Norris Keiller & Aureo de Paula & John Van Reenen, 2024. "Production function estimation using subjective expectations data," Papers 2407.07988, arXiv.org.
    8. Nathan Goldschlag & Elisabeth Perlman, 2017. "Business Dynamic Statistics of Innovative Firms," Working Papers 17-72, Center for Economic Studies, U.S. Census Bureau.
    9. Ohlsbom, Roope, 2021. "Management Practices Drive Productivity – But Not Without Human Capital," ETLA Working Papers 88, The Research Institute of the Finnish Economy.
    10. Sunghoon Chung, 2023. "Management Practices in Korean Manufacturers: A Striking Level Difference between Production and Incentive Management," Korean Economic Review, Korean Economic Association, vol. 39, pages 103-135.
    11. Catherine Buffington & Kenny Herrell & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): Cognitive Testing," Working Papers 16-53, Center for Economic Studies, U.S. Census Bureau.
    12. Agnes Norris Keiller & Áureo de Paula & John Van Reenen, 2024. "Production function estimation using subjective expectations data," IFS Working Papers WCWP15/24, Institute for Fiscal Studies.
    13. David E. Altig & Jose Maria Barrero & Nicholas Bloom & Steven J. Davis & Brent Meyer & Emil Mihaylov & Nicholas B. Parker, 2021. "Pandemic-Era Uncertainty on Main Street and Wall Street," FRB Atlanta Working Paper 2021-2, Federal Reserve Bank of Atlanta.

  8. Catherine Buffington & Kenny Herrell & Scott Ohlmacher, 2016. "The Management and Organizational Practices Survey (MOPS): Cognitive Testing," Working Papers 16-53, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Nicholas Bloom & Steven J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta-Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 20-41, Center for Economic Studies, U.S. Census Bureau.
    2. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Megha Patnaik & Itay Saporta-Eksten & John Van Reenen, 2017. "What Drives Differences in Management?," Working Papers 17-32, Center for Economic Studies, U.S. Census Bureau.
    3. Kim, Minho & Chung, Sunghoon & Lee, Changkeun, 2019. "Smart Policies for Smart Factories," KDI Focus 97, Korea Development Institute (KDI).
    4. Agnes Norris Keiller & Aureo de Paula & John Van Reenen, 2024. "Production function estimation using subjective expectations data," Papers 2407.07988, arXiv.org.
    5. Catherine Buffington & Andrew Hennessy & Scott Ohlmacher, 2018. "The Management and Organizational Practices Survey (MOPS): Collection and Processing," Working Papers 18-51, Center for Economic Studies, U.S. Census Bureau.
    6. Bloom, Nicholas & Brynjolfsson, Erik & Foster, Lucia & Jarmin, Ron & Patnaik, Megha & Saporta-Eksten, Itay & Van Reenen, John, 2019. "What drives differences in management practices?," LSE Research Online Documents on Economics 101175, London School of Economics and Political Science, LSE Library.
    7. Agnes Norris Keiller & Áureo de Paula & John Van Reenen, 2024. "Production function estimation using subjective expectations data," IFS Working Papers WCWP15/24, Institute for Fiscal Studies.

Articles

  1. Catherine Buffington & Lucia Foster & Ron Jarmin & Scott Ohlmacher & Scott Ohlmacher, 2017. "The management and organizational practices survey (MOPS): An overview1," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 1-26.

    Cited by:

    1. Merchán Álvarez, Federico Alberto, 2024. "International managerial skill and big Colombian exporting firms' performance, 2006-2014," Open Access Publications from Kiel Institute for the World Economy 302044, Kiel Institute for the World Economy.
    2. Kambayashi, Ryo & Ohyama, Atsushi & Hori, Nobuko, 2021. "Management practices and productivity in Japan: Evidence from six industries in JP MOPS," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    3. Bloom, Nicholas & Ohlmacher, Scott W. & Tello-Trillo, Cristina J. & Wallskog, Melanie, 2022. "Pay, productivity and management," LSE Research Online Documents on Economics 117854, London School of Economics and Political Science, LSE Library.
    4. Alice Zawacki & Scott Ohlmacher & Struther Van Horn, 2021. "Developing Content for the Management and Organizational Practices Survey-Hospitals (MOPS-HP)," Working Papers 21-25, Center for Economic Studies, U.S. Census Bureau.
    5. Nicholas Bloom & Steven J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta-Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 20-41, Center for Economic Studies, U.S. Census Bureau.
    6. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    7. Alecos Papadopoulos, 2021. "Measuring the effect of management on production: a two-tier stochastic frontier approach," Empirical Economics, Springer, vol. 60(6), pages 3011-3041, June.
    8. Penglong Li & Xuan Ye, 2024. "Research on the promotion effect and mechanisms of digital empowerment of food enterprises," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(2), pages 60-72.
    9. (Jianqiu) Bai, John & Mkrtchyan, Anahit, 2023. "What do outside CEOs really do? Evidence from plant-level data," Journal of Financial Economics, Elsevier, vol. 147(1), pages 27-48.
    10. Brent Meyer & Emil Mihaylov & Steven J. Davis & Nicholas Parker & David Altig & Jose Maria Barrero & Nicholas Bloom, 2020. "Pandemic-Era Uncertainty on Main Street and Wall Street," Working Papers 2020-189, Becker Friedman Institute for Research In Economics.
    11. Bloom, Nicholas & Kawakubo, Taka & Meng, Charlotte & Mizen, Paul & Riley, Rebecca & Senga, Tatsuro & Van Reenen, John, 2022. "Do well managed firms make better forecasts?," LSE Research Online Documents on Economics 117748, London School of Economics and Political Science, LSE Library.
    12. Brent Meyer & Emil Mihaylov & Jose Maria Barrero & Steven J. Davis & David Altig & Nicholas Bloom, 2022. "Pandemic-Era Uncertainty," JRFM, MDPI, vol. 15(8), pages 1-14, July.
    13. Steiner, Alexandre Arns & Lerman, Laura Visintainer & Kai, Dalton Alexandre & Benitez, Guilherme Brittes, 2026. "Digital corporate governance at diversity, equity, and inclusion in operations and supply chain management: A mixed-method approach," International Journal of Production Economics, Elsevier, vol. 291(C).
    14. Emek Basker & Randy A. Becker & Lucia Foster & T. Kirk White & Alice Zawacki, 2019. "Addressing Data Gaps: Four New Lines of Inquiry in the 2017 Economic Census," Working Papers 19-28, Center for Economic Studies, U.S. Census Bureau.
    15. Federico Alberto Merchán Álvarez, 2024. "International managerial skill and big Colombian exporting firms' performance, 2006–2014," The World Economy, Wiley Blackwell, vol. 47(7), pages 3199-3243, July.
    16. Hardy, Morgan & Kagy, Gisella & Demeke, Eyoual & Witte, Marc & Meyer, Christian Johannes, 2024. "The impact of firm downsizing on workers: Evidence from Ethiopia’s ready-made garment industry," World Development, Elsevier, vol. 176(C).
    17. Catherine Buffington & Andrew Hennessy & Scott Ohlmacher, 2018. "The Management and Organizational Practices Survey (MOPS): Collection and Processing," Working Papers 18-51, Center for Economic Studies, U.S. Census Bureau.
    18. Geylani, Pinar Celikkol & Park, Timothy A. & Restrepo, Brandon J., 2024. "The Role of Managerial and Organizational Practices in Explaining Productivity Differences: A Study of U.S. Food Manufacturing Firms," 2024 Annual Meeting, July 28-30, New Orleans, LA 343704, Agricultural and Applied Economics Association.
    19. Englmaier, Florian & Muehlheusser, Gerd & Roider, Andreas & Wallmeier, Niklas, 2022. "Management and Performance in the Public Sector: Evidence from German Municipalities," IZA Discussion Papers 15676, IZA Network @ LISER.
    20. Eva Labro & James D. Omartian, 2023. "Managing Employee Retention Concerns: Evidence from U.S. Census Data," Working Papers 23-07, Center for Economic Studies, U.S. Census Bureau.
    21. Marcus Biermann, 2022. "The role of management practices in acquisitions and the FDI location decision," Review of International Economics, Wiley Blackwell, vol. 30(1), pages 137-165, February.
    22. Bloom, Nicholas & Brynjolfsson, Erik & Foster, Lucia & Jarmin, Ron & Patnaik, Megha & Saporta-Eksten, Itay & Van Reenen, John, 2019. "What drives differences in management practices?," LSE Research Online Documents on Economics 101175, London School of Economics and Political Science, LSE Library.
    23. Zhang, Ming & Du, Panpan & Jiang, Lixia, 2023. "Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China," Resources Policy, Elsevier, vol. 83(C).

  2. Catherine Buffington & Benjamin Cerf & Christina Jones & Bruce A. Weinberg, 2016. "STEM Training and Early Career Outcomes of Female and Male Graduate Students: Evidence from UMETRICS Data Linked to the 2010 Census," American Economic Review, American Economic Association, vol. 106(5), pages 333-338, May.

    Cited by:

    1. Tabakovic, Haris & Wollmann, Thomas G., 2019. "The impact of money on science: Evidence from unexpected NCAA football outcomes," Journal of Public Economics, Elsevier, vol. 178(C).
    2. Anthony Strittmatter & Conny Wunsch, 2025. "Labor market sorting and the gender pay gap revisited," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(3), pages 1-41, September.
    3. Dwayne Benjamin & Boriana Miloucheva & Natalia Vigezzi, 2025. "The Opportunity Cost of a PhD: Spending your Twenties," Working Papers tecipa-802, University of Toronto, Department of Economics.
    4. Peter Adu & Tomas Jurcik & Emmanuel Demah & Patrick T Korang & Dmitry Grigoryev, 2024. "Mental health literacy for social phobia in Ghana: Investigation of gender stereotypes and previous experience for recognition rates and prejudice," International Journal of Social Psychiatry, , vol. 70(2), pages 271-281, March.
    5. Wunsch, Conny & Strittmatter, Anthony, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers 15840, C.E.P.R. Discussion Papers.
    6. Lucia Foster, 2020. "Panel Remarks: Measuring Business Innovation Using a Multidimensional Approach," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 569-575, National Bureau of Economic Research, Inc.
    7. Jason Coupet & Yuhao Ba, 2022. "Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis," The Journal of Technology Transfer, Springer, vol. 47(2), pages 605-620, April.
    8. Shubhanshu Mishra & Brent D Fegley & Jana Diesner & Vetle I Torvik, 2018. "Self-citation is the hallmark of productive authors, of any gender," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-21, September.
    9. Sofoklis Goulas & Rigissa Megalokonomou & Yi Zhang, 2024. "Female Classmates, Disruption, and STEM Outcomes in Disadvantaged Schools: Evidence from a Randomized Natural Experiment," Monash Economics Working Papers 2024-01, Monash University, Department of Economics.
    10. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    11. Meoli, Azzurra & Piva, Evila & Righi, Hérica, 2024. "Missing women in STEM occupations: The impact of university education on the gender gap in graduates' transition to work," Research Policy, Elsevier, vol. 53(8).
    12. Chen, Haoning & Dong, Miaomiao & Henry, Marc & Sidorov, Ivan, 2025. "Occupational segregation in a Roy model with composition preferences," Games and Economic Behavior, Elsevier, vol. 150(C), pages 365-386.
    13. Elizabeth Lyons & Laurina Zhang, 2023. "Salary transparency and gender pay inequality: Evidence from Canadian universities," Strategic Management Journal, Wiley Blackwell, vol. 44(8), pages 2005-2034, August.
    14. Craig W. Carpenter & Anders Van Sandt & Rebekka Dudensing & Scott Loveridge, 2022. "Profit Pools and Determinants of Potential County-Level Manufacturing Growth," International Regional Science Review, , vol. 45(2), pages 188-224, March.
    15. Singhal, Karan & Sierminska, Eva, 2024. "Inequality in the Economics Profession," GLO Discussion Paper Series 1536, Global Labor Organization (GLO).
    16. Stavropoulou, Charitini & Viney, Ian, 2025. "Transitioning to independence in medical research: A qualitative study using a systems theory perspective," Research Policy, Elsevier, vol. 54(1).
    17. Chang, Wan-Ying & Cheng, Wei & Lane, Julia & Weinberg, Bruce, 2019. "Federal funding of doctoral recipients: What can be learned from linked data," Research Policy, Elsevier, vol. 48(6), pages 1487-1492.
    18. Graddy-Reed, Alexandra & Lanahan, Lauren & Eyer, Jonathan, 2019. "Gender discrepancies in publication productivity of high-performing life science graduate students," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    19. Aina, Carmen & Casalone, Giorgia, 2020. "Early labor market outcomes of university graduates: Does time to degree matter?," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    20. Erin Percival Carter, 2024. "Power and the perception of pregnancy in the academy," Gender, Work and Organization, Wiley Blackwell, vol. 31(5), pages 1951-1975, September.
    21. Haoning Chen & Miaomiao Dong & Marc Henry & Ivan Sidorov, 2020. "Occupational segregation in a Roy model with composition preferences," Papers 2012.04485, arXiv.org, revised Sep 2024.
    22. Craig Wesley Carpenter & Anders Van Sandt & Scott Loveridge, 2022. "Measurement error in US regional economic data," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 57-80, January.
    23. Eleonora Brandimarti, 2025. "Self-Selection, University Courses and Returns to Advanced Degrees," Papers 2511.09260, arXiv.org.
    24. Wei Cheng & Bruce A. Weinberg, 2021. "Marginalized and Overlooked? Minoritized Groups and the Adoption of New Scientific Ideas," NBER Working Papers 29179, National Bureau of Economic Research, Inc.
    25. Peter Riley Bahr & Claire A. Boeck & Yiran Chen & Paula Clasing-Manquian, 2024. "Less is more, or is it? Age and Gender Differences in How Students Build Momentum toward College Graduation," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(8), pages 1771-1803, December.

Chapters

  1. Jose Maria Barrero & Nicholas Bloom & Kathryn Bonney & Cory Breaux & Catherine Buffington & Steven J. Davis & Lucia Foster & Brian McKenzie & Keith Savage & Cristina Tello-Trillo, 2025. "Tapping Business and Household Surveys to Sharpen Our View of Work from Home," NBER Chapters, in: The Changing Nature of Work, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John Haltiwanger & Zachary Kroff & Pascual Restre, 2024. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 13-55, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

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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 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-TID: Technology and Industrial Dynamics (4) 2021-01-18 2022-12-12 2023-04-17 2024-05-20
  2. NEP-BEC: Business Economics (2) 2022-12-12 2024-05-20
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2022-12-12 2025-07-14
  4. NEP-DES: Economic Design (1) 2023-04-17
  5. NEP-EFF: Efficiency and Productivity (1) 2022-12-12
  6. NEP-HRM: Human Capital and Human Resource Management (1) 2023-04-17
  7. NEP-ICT: Information and Communication Technologies (1) 2023-04-17
  8. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2021-01-18
  9. NEP-LAB: Labour Economics (1) 2023-04-17
  10. NEP-SBM: Small Business Management (1) 2024-05-20
  11. NEP-URE: Urban and Real Estate Economics (1) 2023-04-17

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