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The Economics of Artificial Intelligence

Citations

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Cited by:

  1. 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.
  2. 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.
  3. Jérôme Dugast & Thierry Foucault, 2020. "Equilibrium Data Mining and Data Abundance," Post-Print hal-02933315, HAL.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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," SPRU Working Paper Series 2019-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
  9. 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.
  10. 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).
  11. Growiec, Jakub, 2022. "Automation, Partial And Full," Macroeconomic Dynamics, Cambridge University Press, vol. 26(7), pages 1731-1755, October.
  12. 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.
  13. 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.
  14. Siegmann, K.A. & Ivosevic, P. & Visser, O., 2021. "Working like machines: Exploring effects of technological change on migrant labour in Dutch horticulture," ISS Working Papers - General Series 691, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
  15. 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.
  16. Thomas Gries & Wim Naudé, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-13, December.
  17. 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.
  18. 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.
  19. Paiola, Marco & Schiavone, Francesco & Khvatova, Tatiana & Grandinetti, Roberto, 2021. "Prior knowledge, industry 4.0 and digital servitization. An inductive framework," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  20. 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.
  21. Teppo Felin & Stuart Kauffman & Todd Zenger, 2023. "Resource origins and search," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1514-1533, June.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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).
  27. Marcel Steffen Eckardt, 2022. "Minimum wages in an automating economy," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(1), pages 58-91, February.
  28. 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.
  29. 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.
  30. 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).
  31. 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.
  32. 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).
  33. 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.
  34. 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.
  35. 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).
  36. 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).
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. Lenz, Fulko, 2020. "Plattformökonomie – zwischen Abwehr und Wunschdenken," Zeitthemen 03, Stiftung Marktwirtschaft / The Market Economy Foundation, Berlin.
  44. Nygaard, Christian & Parkinson, Sharon & reynolds, margaret, 2021. "Agglomeration effects and housing market dynamics," SocArXiv k9tcx, Center for Open Science.
  45. 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.
  46. Roth, Felix & Sen, Ali & Rammer, Christian, 2021. "Intangible Capital and Firm-Level Productivity – Evidence from Germany," Hamburg Discussion Papers in International Economics 9, University of Hamburg, Department of Economics.
  47. 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).
  48. 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.
  49. Andre Assumpcao & Julio Trecenti, 2020. "Judicial Favoritism of Politicians: Evidence from Small Claims Court," Papers 2001.00889, arXiv.org, revised Jan 2020.
  50. Cesar R Salas-Guerra, 2021. "Impact of digital economic activity on regional economic growth: A Case study from northern Minas Gerais between 2009 To 2018," Papers 2105.02849, arXiv.org.
  51. Bauer, Kevin & Nofer, Michael & Abdel-Karim, Benjamin M. & Hinz, Oliver, 2022. "The effects of discontinuing machine learning decision support," SAFE Working Paper Series 370, Leibniz Institute for Financial Research SAFE.
  52. 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.
  53. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
  54. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  55. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
  56. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
  57. repec:hig:wpaper:102sti2019 is not listed on IDEAS
  58. 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.
  59. 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).
  60. 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.
  61. Montobbio, F. & Staccioli, J. & Virgillito, M.E. & Vivarelli, Marco, 2022. "The empirics of technology, employment and occupations," MERIT Working Papers 2022-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  62. 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.
  63. Cathles, Alison & Nayyar, Gaurav & Rückert, Désirée, 2020. "Digital technologies and firm performance: Evidence from Europe," EIB Working Papers 2020/06, European Investment Bank (EIB).
  64. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Quaderni del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  65. Sendhil Mullainathan & Ziad Obermeyer, 2023. "Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(2), pages 679-727.
  66. Ilan Noy & Shakked Noy, 2022. "The Short-Termism of 'Hard' Economics," CESifo Working Paper Series 10160, CESifo.
  67. 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.
  68. 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.
  69. Baqaee, David Rezza & Farhi, Emmanuel, 2018. "The Microeconomic foundations of Aggregate Production Functions," CEPR Discussion Papers 13362, C.E.P.R. Discussion Papers.
  70. Yuki, Kazuhiro, 2012. "Mechanization, task assignment, and inequality," MPRA Paper 37754, University Library of Munich, Germany.
  71. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
  72. 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.
  73. 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.
  74. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
  75. Jurgita Bruneckiene & Robertas Jucevicius & Ineta Zykiene & Jonas Rapsikevicius & Mantas Lukauskas, 2019. "Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
  76. 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.
  77. Ekaterina Prytkova & Simone Vannuccini, 2022. "On the basis of brain: neural-network-inspired changes in general-purpose chips," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(4), pages 1031-1055.
  78. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
  79. 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).
  80. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
  81. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  82. Teruel Carrizosa, Mercedes & Coad, Alexander & Domnick, Clemens & Flachenecker, Florian & Harasztosi, Péter & Janiri, Mario Lorenzo & Pál, Rozália, 2021. "The birth of new high growth enterprises: Internationalisation through new digital technologies," EIB Working Papers 2021/02, European Investment Bank (EIB).
  83. Paranhos, Livia, 2021. "Predicting Inflation with Neural Networks," The Warwick Economics Research Paper Series (TWERPS) 1344, University of Warwick, Department of Economics.
  84. Linh Tu Ho & Christopher Gan & Shan Jin & Bryan Le, 2022. "Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?," JRFM, MDPI, vol. 15(7), pages 1-20, July.
  85. Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
  86. 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).
  87. 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).
  88. 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.
  89. 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.
  90. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2022. "Robots, Digitalization, and Worker Voice," GLO Discussion Paper Series 1038, Global Labor Organization (GLO).
  91. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Robots and Worker Voice: An Empirical Exploration," IZA Discussion Papers 13799, Institute of Labor Economics (IZA).
  92. Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
  93. 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.
  94. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
  95. Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
  96. Lawchak Fadhil Khalid & Adnan Mohsin Abdulazeez, 2021. "Identifying Speakers Using Deep Learning: A review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 15-26.
  97. Sergio Mariotti, 2021. "Forging a new alliance between economics and engineering," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 551-572, December.
  98. 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.
  99. 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.
  100. Benhamou, Salima, 2022. "Les transformations du travail et de l’emploi à l’ère de l’Intelligence artificielle: Évaluation, illustrations et interrogations," Documentos de Proyectos 48529, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  101. 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.
  102. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  103. Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  104. 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.
  105. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  106. 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.
  107. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
  108. 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.
  109. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.
  110. 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.
  111. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
  112. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
  113. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
  114. Erik Brynjolfsson & Xiang Hui & Meng Liu, 2019. "Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform," Management Science, INFORMS, vol. 65(12), pages 5449-5460, December.
  115. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
  116. 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.
  117. C. A. K. Lovell, 2021. "The Pandemic, The Climate, and Productivity," CEPA Working Papers Series WP112021, School of Economics, University of Queensland, Australia.
  118. Moshe A. Barach & Aseem Kaul & Ming D. Leung & Sibo Lu, 2019. "Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market," Strategy Science, INFORMS, vol. 4(4), pages 298-322, December.
  119. Pi, Jiancai & Fan, Yanwei, 2021. "The impact of robots on equilibrium unemployment of unionized workers," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 663-675.
  120. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
  121. Dirk Nicolas Wagner, 2020. "Economic patterns in a world with artificial intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 111-131, January.
  122. Sasaki, Hiroaki & Hagiwara, Takefumi & Pham, Huong & Fukatani, Noriki & Ogawa, Shogo & Okahara, Naoto, 2021. "How Does Automation Affect Economic Growth and Income Distribution in a Two-Class Economy?," MPRA Paper 106481, University Library of Munich, Germany.
  123. 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).
  124. 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).
  125. 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).
  126. 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.
  127. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
  128. Albrecht, Tobias & Rausch, Theresa Maria & Derra, Nicholas Daniel, 2021. "Call me maybe: Methods and practical implementation of artificial intelligence in call center arrivals’ forecasting," Journal of Business Research, Elsevier, vol. 123(C), pages 267-278.
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