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The Economics of Artificial Intelligence: An Agenda

Citations

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Cited by:

  1. Jérôme Dugast & Thierry Foucault, 2020. "Equilibrium Data Mining and Data Abundance," Post-Print hal-02933315, HAL.
  2. Andrea Szalavetz, 2019. "Artificial Intelligence-Based Development Strategy in Dependent Market Economies - Any Room amidst Big Power Rivalry?," Central European Business Review, Prague University of Economics and Business, vol. 2019(4), pages 40-54.
  3. Mario Benassi & Elena Grinza & Francesco Rentocchini, 2020. "The rush for patents in the Fourth Industrial Revolution," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 559-588, December.
  4. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
  5. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
  6. Nicholas Bloom & Tarek Alexander Hassan & Aakash Kalyani & Josh Lerner & Ahmed Tahoun, 2021. "The diffusion of disruptive technologies," CEP Discussion Papers dp1798, Centre for Economic Performance, LSE.
  7. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
  8. Armin Mertens & Marc Scheufen, 2024. "Intellectual property and fourth industrial revolution technologies: how the patent system is shaping the future in the data-driven economy," European Journal of Law and Economics, Springer, vol. 57(1), pages 275-310, April.
  9. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2020. "Going Revolutionary: The Impact of 4IR Technology Development on Firm Performance," SPRU Working Paper Series 2020-08, SPRU - Science Policy Research Unit, University of Sussex Business School.
  10. Teppo Felin & Stuart Kauffman & Todd Zenger, 2023. "Resource origins and search," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1514-1533, June.
  11. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
  12. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
  13. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113, September.
  14. Koski, Heli & Pantzar, Mika, 2019. "Data Markets in Making: The Role of Technology Giants," ETLA Working Papers 72, The Research Institute of the Finnish Economy.
  15. Skare, Marinko & Porada-Rochoń, Małgorzata, 2022. "Technology and social equality in the United States," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  16. van Ark, Bart & de Vries, Klaas & Erumban, Abdul, 2021. "How To Not Miss A Productivity Revival Once Again," National Institute Economic Review, National Institute of Economic and Social Research, vol. 255, pages 9-24, February.
  17. Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2022. "Coevolution of job automation risk and workplace governance," Research Policy, Elsevier, vol. 51(3).
  18. Mareike Bergmann & Christian Brück & Thorsten Knauer & Anja Schwering, 2020. "Digitization of the budgeting process: determinants of the use of business analytics and its effect on satisfaction with the budgeting process," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 25-54, April.
  19. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
  20. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
  21. Ruwan Bandara & Mario Fernando & Shahriar Akter, 2020. "Privacy concerns in E-commerce: A taxonomy and a future research agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 629-647, September.
  22. Nicholas Crafts, 2022. "Slow real wage growth during the Industrial Revolution: productivity paradox or pro-rich growth? [Engels’ pause: technical change, capital accumulation, and inequality in the British industrial rev," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 1-13.
  23. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
  24. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  25. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
  26. Jakub Growiec, 2020. "What Will Drive Long-Run Growth in the Digital Age?," KAE Working Papers 2020-054, Warsaw School of Economics, Collegium of Economic Analysis.
  27. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
  28. Mr. Andrew Berg & Lahcen Bounader & Nikolay Gueorguiev & Hiroaki Miyamoto & Mr. Kenji Moriyama & Ryota Nakatani & Luis-Felipe Zanna, 2021. "For the Benefit of All: Fiscal Policies and Equity-Efficiency Trade-offs in the Age of Automation," IMF Working Papers 2021/187, International Monetary Fund.
  29. Hünermund Paul & Louw Beyers & Caspi Itamar, 2023. "Double machine learning and automated confounder selection: A cautionary tale," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-12, January.
  30. Sasaki, Hiroaki, 2021. "Automation Technology, Economic Growth, and Income Distribution in an Economy with Dynasties and Overlapping Generations," MPRA Paper 105446, University Library of Munich, Germany.
  31. Andres Rodriguez-Pose & Zhuoying You, 2024. "Bridging the innovation gap. AI and robotics as drivers of China’s urban innovation," Papers in Evolutionary Economic Geography (PEEG) 2412, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2024.
  32. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  33. repec:bfv:sbsrec:002 is not listed on IDEAS
  34. Enrique Ide & Eduard Talamas, 2023. "Artificial Intelligence in the Knowledge Economy," Papers 2312.05481, arXiv.org, revised Nov 2024.
  35. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "May AI Revolution Be Labour-Friendly? Some Micro Evidence from the Supply Side," IZA Discussion Papers 14309, Institute of Labor Economics (IZA).
  36. Björn Döhring & Atanas Hristov & Christoph Maier & Werner Roeger & Anna Thum-Thysen, 2021. "COVID-19 acceleration in digitalisation, aggregate productivity growth and the functional income distribution," International Economics and Economic Policy, Springer, vol. 18(3), pages 571-604, July.
  37. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
  38. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
  39. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  40. Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
  41. Brea, Edgar & Ford, Jerad A., 2023. "No silver bullet: Cognitive technology does not lead to novelty in all firms," Technovation, Elsevier, vol. 122(C).
  42. Dmitry Sharapov & Paul Kattuman & Diego Rodriguez & F. Javier Velazquez, 2021. "Using the SHAPLEY value approach to variance decomposition in strategy research: Diversification, internationalization, and corporate group effects on affiliate profitability," Strategic Management Journal, Wiley Blackwell, vol. 42(3), pages 608-623, March.
  43. 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).
  44. Antonioli, Davide & Marzucchi, Alberto & Rentocchini, Francesco & Vannuccini, Simone, 2024. "Robot adoption and product innovation," Research Policy, Elsevier, vol. 53(6).
  45. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
  46. Cathles, Alison & Nayyar, Gaurav & Rückert, Désirée, 2020. "Digital technologies and firm performance: Evidence from Europe," EIB Working Papers 2020/06, European Investment Bank (EIB).
  47. Growiec, Jakub, 2022. "Automation, Partial And Full," Macroeconomic Dynamics, Cambridge University Press, vol. 26(7), pages 1731-1755, October.
  48. Ilan Noy & Shakked Noy, 2022. "The Short-Termism of 'Hard' Economics," CESifo Working Paper Series 10160, CESifo.
  49. Prithwiraj Choudhury & Dan Wang & Natalie A. Carlson & Tarun Khanna, 2019. "Machine learning approaches to facial and text analysis: Discovering CEO oral communication styles," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1705-1732, November.
  50. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
  51. Daisuke Miyakawa & Kohei Shintani, 2020. "Disagreement between Human and Machine Predictions," IMES Discussion Paper Series 20-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
  52. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," GLO Discussion Paper Series 397, Global Labor Organization (GLO).
  53. Paranhos, Livia, 2021. "Predicting Inflation with Neural Networks," The Warwick Economics Research Paper Series (TWERPS) 1344, University of Warwick, Department of Economics.
  54. Buhl-Wiggers, Julie & Kerwin, Jason T. & Muñoz-Morales, Juan & Smith, Jeffrey & Thornton, Rebecca, 2024. "Some children left behind: Variation in the effects of an educational intervention," Journal of Econometrics, Elsevier, vol. 243(1).
  55. Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
  56. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).
  57. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
  58. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
  59. J. M. Paterson & E. Bant, 2021. "Should Australia Introduce a Prohibition on Unfair Trading? Responding to Exploitative Business Systems in Person and Online," Journal of Consumer Policy, Springer, vol. 44(1), pages 1-19, March.
  60. Stefano Comino & Alberto Galasso & Clara Graziano, 2020. "Market Power and Patent Strategies: Evidence from Renaissance Venice," Journal of Industrial Economics, Wiley Blackwell, vol. 68(2), pages 226-269, June.
  61. Yongtong Shao & Tao Xiong & Minghao Li & Dermot Hayes & Wendong Zhang & Wei Xie, 2021. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1082-1098, May.
  62. Susan C. Athey & Kevin A. Bryan & Joshua S. Gans, 2020. "The Allocation of Decision Authority to Human and Artificial Intelligence," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 80-84, May.
  63. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Robots and Worker Voice: An Empirical Exploration," IZA Discussion Papers 13799, Institute of Labor Economics (IZA).
  64. David Baqaee & Emmanuel Farhi, 2018. "The Microeconomic Foundations of Aggregate Production Functions," NBER Working Papers 25293, National Bureau of Economic Research, Inc.
  65. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, "undated". "Authors' response to Unjournal evaluations of "Artificial Intelligence and Economic Growth"," The Unjournal Evaluations 2023-04, The Unjournal.
  66. Mary Merva & Adrian Stoian & Simona Costagli, 2021. "Effective information, political structure and economic growth," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(4), pages 597-620, October.
  67. Yuki, Kazuhiro, 2012. "Mechanization, task assignment, and inequality," MPRA Paper 37754, University Library of Munich, Germany.
  68. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the future of work: Macroeconomic consequences," ZEW Discussion Papers 19-024, ZEW - Leibniz Centre for European Economic Research.
  69. DUERNECKER Georg & SANCHEZ MARTINEZ Miguel, 2021. "Structural change and productivity growth in the European Union: Past, present and future," JRC Working Papers on Territorial Modelling and Analysis 2021-09, Joint Research Centre.
  70. Behrens, Vanessa & Viete, Steffen, 2020. "A note on Germany's role in the fourth industrial revolution," Working Papers 09/2020, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
  71. Jakub Growiec, 2019. "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," Working Paper series 19-18, Rimini Centre for Economic Analysis.
  72. Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," CESifo Working Paper Series 8521, CESifo.
  73. Charles M. A. Clark & Aleksandr V. Gevorkyan, 2020. "Artificial Intelligence and Human Flourishing," American Journal of Economics and Sociology, Wiley Blackwell, vol. 79(4), pages 1307-1344, September.
  74. Jing Xiao & Ron Boschma, 2023. "The emergence of artificial intelligence in European regions: the role of a local ICT base," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(3), pages 747-773, December.
  75. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
  76. Ekaterina Prytkova, 2021. "ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links," Jena Economics Research Papers 2021-005, Friedrich-Schiller-University Jena.
  77. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
  78. Alberto Galasso, 2020. "Comment on "The Roots of Agricultural Innovation: Patent Evidence of Knowledge Spillovers"," NBER Chapters, in: Economics of Research and Innovation in Agriculture, pages 76-79, National Bureau of Economic Research, Inc.
  79. C. A. K. Lovell, 2021. "The Pandemic, The Climate, and Productivity," CEPA Working Papers Series WP112021, School of Economics, University of Queensland, Australia.
  80. Mario BENASSI & Elena GRINZA & Francesco RENTOCCHINI, 2019. "The Rush for Patents in the Fourth Industrial Revolution: An Exploration of Patenting Activity at the European Patent Office," Departmental Working Papers 2019-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  81. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  82. Davit Gondauri & Mikheil Batiashvili & Nino Enukidze, 2024. "Deciphering the AI Economy: A Mathematical Model Perspective," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(3), pages 146-146, June.
  83. Van Roy, Vincent & Vertesy, Daniel & Damioli, Giacomo, 2019. "AI and Robotics Innovation: a Sectoral and Geographical Mapping using Patent Data," GLO Discussion Paper Series 433, Global Labor Organization (GLO).
  84. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  85. Jacopo Staccioli & Maria Enrica Virgillito, 2020. "The present, past, and future of labor-saving technologies," LEM Papers Series 2020/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  86. Cerulli, Giovanni, 2020. "A Super-Learning Machine for Predicting Economic Outcomes," MPRA Paper 99111, University Library of Munich, Germany.
  87. 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.
  88. Peter Bauer & Igor Fedotenkov & Aurelien Genty & Issam Hallak & Peter Harasztosi & David Martinez Turegano & David Nguyen & Nadir Preziosi & Ana Rincon-Aznar & Miguel Sanchez Martinez, 2020. "Productivity in Europe: Trends and drivers in a service-based economy," JRC Research Reports JRC119785, Joint Research Centre.
  89. Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org, revised Jun 2024.
  90. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Using Deep Learning Neural Networks to Predict the Knowledge Economy Index for Developing and Emerging Economies," MPRA Paper 109137, University Library of Munich, Germany.
  91. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
  92. Zuoyufan Sheng & Chengpeng Zhu & Mo Chen, 2024. "Exploring the Impact of the Digital Economy on Green Total Factor Productivity—Evidence from Chinese Cities," Sustainability, MDPI, vol. 16(7), pages 1-13, March.
  93. John Leslie King & Andrew J. Ehrenberg, 2020. "The Productivity Vampires," Information Systems Frontiers, Springer, vol. 22(1), pages 11-15, February.
  94. Raja Bentaouet Kattan & Kevin Macdonald & Harry Anthony Patrinos, 2021. "The Role of Education in Mitigating Automation’s Effect on Wage Inequality," LABOUR, CEIS, vol. 35(1), pages 79-104, March.
  95. Elizabeth Fisher & Michael A. Flynn & Preethi Pratap & Jay A. Vietas, 2023. "Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review," IJERPH, MDPI, vol. 20(13), pages 1-28, June.
  96. Sergio De Nardis & Francesca Parente, 2022. "Technology and task changes in the major EU countries," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 391-413, April.
  97. Soumya Bhadury & Abhinav Narayanan & Bhanu Pratap, 2021. "Structural Transformation of Jobs from Manufacturing to Services: Will It Work for India?," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(1), pages 22-49, February.
  98. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
  99. Uma RANI & Damian GRIMSHAW, 2019. "Introduction: What does the future promise for work, employment and society?," International Labour Review, International Labour Organization, vol. 158(4), pages 577-592, December.
  100. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
  101. Selale Tuzel & Miao Ben Zhang, 2021. "Economic Stimulus at the Expense of Routine‐Task Jobs," Journal of Finance, American Finance Association, vol. 76(6), pages 3347-3399, December.
  102. Ajay Agrawal & Joshua Gans & Avi Goldfarb & Catherine Tucker, 2023. "Introduction to "The Economics of Artificial Intelligence: Health Care Challenges"," NBER Chapters, in: The Economics of Artificial Intelligence: Health Care Challenges, pages 1-7, National Bureau of Economic Research, Inc.
  103. van Meeteren, Michiel & Trincado-Munoz, Francisco & Rubin, Tzameret H. & Vorley, Tim, 2022. "Rethinking the digital transformation in knowledge-intensive services: A technology space analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  104. Jakub Growiec & Peter McAdam & Jakub Mućk, 2022. "Are Ideas Really Getting Harder To Find? R&D Capital and the Idea Production Function," KAE Working Papers 2022-071, Warsaw School of Economics, Collegium of Economic Analysis.
  105. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
  106. 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.
  107. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
  108. Francesco Decarolis & Cristina Giorgiantonio, 2020. "Corruption red flags in public procurement: new evidence from Italian calls for tenders," Questioni di Economia e Finanza (Occasional Papers) 544, Bank of Italy, Economic Research and International Relations Area.
  109. Alex Chernoff & Gabriela Galassi, 2023. "Digitalization: Labour Markets," Discussion Papers 2023-16, Bank of Canada.
  110. Bart van Ark & Anthony J. Venables, 2020. "A Concerted Effort to Tackle the UK Productivity Puzzle," International Productivity Monitor, Centre for the Study of Living Standards, vol. 39, pages 3-15, Fall.
  111. Feras A. Batarseh & Munisamy Gopinath & Anderson Monken & Zhengrong Gu, 2021. "Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning," Papers 2111.07508, arXiv.org.
  112. Dilip Mookherjee & Debraj Ray, 2022. "Growth, Automation and the Long-Run Share of Labor," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 1-26, October.
  113. March, Christoph, 2019. "The behavioral economics of artificial intelligence: Lessons from experiments with computer players," BERG Working Paper Series 154, Bamberg University, Bamberg Economic Research Group.
  114. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2021. "Detecting the labour-friendly nature of AI product innovation," DISCE - Quaderni del Dipartimento di Politica Economica dipe0017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  115. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
  116. Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Daniel Rees, 2024. "The impact of artificial intelligence on output and inflation," BIS Working Papers 1179, Bank for International Settlements.
  117. Rama K. Malladi, 2024. "Benchmark Analysis of Machine Learning Methods to Forecast the U.S. Annual Inflation Rate During a High-Decile Inflation Period," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 335-375, July.
  118. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the Employment Impact of Automation, Robots and AI: A Survey and Some Methodological Issues," IZA Discussion Papers 12612, Institute of Labor Economics (IZA).
  119. Lenz, Fulko, 2020. "Plattformökonomie – zwischen Abwehr und Wunschdenken," Zeitthemen 03, Stiftung Marktwirtschaft / The Market Economy Foundation, Berlin.
  120. Nygaard, Christian & Parkinson, Sharon & reynolds, margaret, 2021. "Agglomeration effects and housing market dynamics," SocArXiv k9tcx, Center for Open Science.
  121. Andre Assumpcao & Julio Trecenti, 2020. "Judicial Favoritism of Politicians: Evidence from Small Claims Court," Papers 2001.00889, arXiv.org, revised Jan 2020.
  122. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
  123. repec:hig:wpaper:102sti2019 is not listed on IDEAS
  124. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2022. "Economy 4.0: employment effects by occupation, industry, and gender," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 1063-1088, November.
  125. Manuel Trajtenberg, 2020. "Comment on Innovation in the US Federal Government," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 464-473, National Bureau of Economic Research, Inc.
  126. Majid Majzoubi & Eric Yanfei Zhao, 2023. "Going beyond optimal distinctiveness: Strategic positioning for gaining an audience composition premium," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 737-777, March.
  127. Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
  128. Carl Benedikt Frey & Giorgio Presidente, 2024. "Privacy regulation and firm performance: Estimating the GDPR effect globally," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1074-1089, July.
  129. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
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