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The Economics of Big Data and Artificial Intelligence
16 references·3 citing·49 second hop
The Economics of Big Data and Artificial Intelligence (2019)The Economics of Big Data and Artificial …The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment (2018)The Race between Man and Mach…The Market for Financial Adviser Misconduct (2018)The Market for Financial Advi…Firming Up Inequality* (2018)Firming Up Inequality*Capitalism without Capital: The Rise of the Intangible Economy (2017)Capitalism without Capital: T…Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (2017)Artificial Intelligence and t…The future of employment: How susceptible are jobs to computerisation? (2016)The future of employment: How…The second machine age: work, progress, and prosperity in a time of brilliant technologies (2015)The second machine age: work,…The Next Generation of the Penn World Table (2015)The Next Generation of the Pe…Has the US Finance Industry Become Less Efficient? On the Theory and Measurement of Financial Intermediation (2015)Has the US Finance Industry B…The Top 1 Percent in International and Historical Perspective (2013)The Top 1 Percent in Internat…The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market (2013)The Growth of Low-Skill Servi…The Growth of Finance (2013)The Growth of FinanceMeasuring Financial Inclusion: Explaining Variation in Use of Financial Services across and within Countries (2013)Measuring Financial Inclusion…Mergers and Acquisitions of Financial Institutions: A Review of the Post-2000 Literature (2009)Mergers and Acquisitions of F…Assessing the Costs and Benefits of Brokers in the Mutual Fund Industry (2009)Assessing the Costs and Benef…Competition in two-sided markets (2006)Competition in two-sided mark…Dynamic connectedness of quantum computing, artificial intelligence, and big data stocks on renewable and sustainable energy (2024)Dynamic connectedness of quan…Can artificial intelligence empower energy enterprises to cope with climate policy uncertainty? 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References

  • 2016The future of employment: How susceptible are jobs to computerisation?8,693 cited
  • 2015The Next Generation of the Penn World Table4,927 cited
  • 2015The second machine age: work, progress, and prosperity in a time of brilliant technologies4,380 cited
  • 2013The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market3,816 cited
  • 2006Competition in two-sided markets3,379 cited
  • 2018The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment3,110 cited
  • 2013The Top 1 Percent in International and Historical Perspective834 cited
  • 2017Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics827 cited
  • 2013Measuring Financial Inclusion: Explaining Variation in Use of Financial Services across and within Countries740 cited
  • 2018Firming Up Inequality*673 cited
  • 2009Assessing the Costs and Benefits of Brokers in the Mutual Fund Industry604 cited
  • 2015Has the US Finance Industry Become Less Efficient? On the Theory and Measurement of Financial Intermediation528 cited
  • 2013The Growth of Finance452 cited
  • 2018The Market for Financial Adviser Misconduct426 cited
  • 2009Mergers and Acquisitions of Financial Institutions: A Review of the Post-2000 Literature

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420 cited
  • 2017Capitalism without Capital: The Rise of the Intangible Economy392 cited
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    • 2019Innovation and Disruption: Industry Practices and Conceptual Bases15 cited