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How would AI regulation change firms' behavior? : evidence from thousands of managers
Lee, Yong Suk; Larsen, Benjamin; Webb, Michael; … - 2019
Persistent link: https://www.econbiz.de/10012123606
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The Regulation of Medical AI : Policy Approaches, Data, and Innovation Incentives
Stern, Ariel Dora - National Bureau of Economic Research - 2022
are subject to regulation by local authorities, resulting in both practical and strategic implications for manufacturers …, along with a more complex set of innovation incentives. This chapter presents background on medical device regulation … adverse events and recalls), and concludes with a discussion of the implications of regulation for innovation incentives in …
Persistent link: https://www.econbiz.de/10013477189
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The Impact of Municipal Broadband Restrictions on COVID-19 Labor Market Outcomes
Hegde, Saket S.; Van Parys, Jessica - National Bureau of Economic Research - 2024
The COVID-19 pandemic initiated a trend in "work-from-home (WFH)," but workers need reliable and fast internet connections (e.g., broadband) to work from home. Yet, as of January 2020, 18 states had legally restricted local governments and cooperatives from building their own broadband...
Persistent link: https://www.econbiz.de/10014512111
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AI and Jobs : Evidence from Online Vacancies
Acemoglu, Daron; Autor, David H.; Hazell, Jonathon; … - National Bureau of Economic Research - 2022 - Revised February 2022
We study the impact of AI on labor markets, using establishment level data on vacancies with detailed occupational information comprising the near-universe of online vacancies in the US from 2010 onwards. We classify establishments as "AI exposed" when their workers engage in tasks that are...
Persistent link: https://www.econbiz.de/10012482476
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The Changing Structure of Cost and Demand for the U.S. Telecommunications Industry
Nadiri, M. Ishaq - 1996
demand and the dynamic interaction between the two in the context of the U.S. telecommunications industry over an extended … on the cost structure, employment and capital formation of the telecommunications industry in the U.S …
Persistent link: https://www.econbiz.de/10012473008
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Machine-Learning the Skill of Mutual Fund Managers
Kaniel, Ron; Lin, Zihan; Pelger, Markus; Nieuwerburgh, … - National Bureau of Economic Research - 2022
We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...
Persistent link: https://www.econbiz.de/10012938692
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Could Machine Learning be a General Purpose Technology? A Comparison of Emerging Technologies Using Data from Online Job Postings
Goldfarb, Avi; Taska, Bledi; Teodoridis, Florenta - National Bureau of Economic Research - 2022
General purpose technologies (GPTs) push out the production possibility frontier and are of strategic importance to managers and policymakers. While theoretical models that explain the characteristics, benefits, and approaches to create and capture value from GPTs have advanced significantly,...
Persistent link: https://www.econbiz.de/10012938736
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Immigration and Regional Specialization in AI
Hanson, Gordon H. - National Bureau of Economic Research - 2021
I examine the specialization of US commuting zones in AI-related occupations over the 2000 to 2018 period. I define AI-related jobs based on keywords in Census occupational titles. Using the approach in Lin (2011) to identify new work, I measure job growth related to AI by weighting employment...
Persistent link: https://www.econbiz.de/10012510549
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Fragile Algorithms and Fallible Decision-Makers : Lessons from the Justice System
Ludwig, Jens; Mullainathan, Sendhil - National Bureau of Economic Research - 2021
Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of...
Persistent link: https://www.econbiz.de/10012629487
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Human-Algorithm Interactions : Evidence from Zillow.com
Fu, Runshan; Jin, Ginger Zhe; Liu, Meng - National Bureau of Economic Research - 2022
Using bi-weekly snapshots of Zillow in three US cities, we document how home sellers and buyers interact with Zillow's Zestimate algorithm during the sales cycle of residential properties. We find that listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly...
Persistent link: https://www.econbiz.de/10013172179