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Bybee, Leland - 2020

We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984{2017, we estimate a topic model that summarizes business news as easily interpretable topical themes and quantifies the...

Persistent link: https://www.econbiz.de/10012479172

Combining Family History and Machine Learning to Link Historical Records

Price, Joseph - 2019

A key challenge for research on many questions in the social sciences is that it is difficult to link historical records in a way that allows investigators to observe people at different points in their life or across generations. In this paper, we develop a new approach that relies on millions...

Persistent link: https://www.econbiz.de/10012480171

The economics of artificial intelligence : an agenda

Agrawal, Ajay (ed.); Gans, Joshua (ed.); Goldfarb, Avi (ed.) - NBER Conference on the Economics of Artificial …; … - 2019

Persistent link: https://www.econbiz.de/10011904305

Artificial Intelligence, Automation and Work

Acemoglu, Daron - 2018

We summarize a framework for the study of the implications of automation and AI on the demand for labor, wages, and … employment. Our task-based framework emphasizes the displacement effect that automation creates as machines and AI replace labor … counteracted by a productivity effect, resulting from the cost savings generated by automation, which increase the demand for labor …

Persistent link: https://www.econbiz.de/10012453517

Polanyi's Paradox and the Shape of Employment Growth

Autor, David - 2014

In 1966, the philosopher Michael Polanyi observed, "We can know more than we can tell... The skill of a driver cannot be replaced by a thorough schooling in the theory of the motorcar; the knowledge I have of my own body differs altogether from the knowledge of its physiology." Polanyi's...

Persistent link: https://www.econbiz.de/10012458183

The economics of artificial intelligence : an agenda

Agrawal, Ajay (ed.); Gans, Joshua (ed.); Goldfarb, Avi (ed.) - NBER Conference on the Economics of Artificial …; … - 2019

-- 7. Artificial Intelligence, Income, Employment, and Meaning / Betsey Stevenson -- 8. Artificial Intelligence, Automation … / James Bessen -- 11. Public Policy in an AI Economy / Austan Goolsbee -- 12. Should We Be Reassured If Automation in the … Future Looks Like Automation in the Past? / Jason Furman -- 13. R&amp -- D, Structural Transformation, and the Distribution …

Persistent link: https://www.econbiz.de/10013173775

Introducing automated negotiators : effects and acceptance

Bronnert, Niklas - 2023

Verlagsinfo: Verhandlungen stellen eine anspruchsvolle und häufig emotionale Aufgabe an den Menschen, der sich mit seinem Verhandlungspartner trotz teilweise widersprüchlicher Präferenzen auf eine für beide Seiten vorteilhafte Lösung einigen muss.Da Verhandlungen gleichzeitig einen...

Persistent link: https://www.econbiz.de/10014225697

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

Simulating Endogenous Global Automation

Benzell, Seth G.; Kotlikoff, Laurence J.; LaGarda, Guillermo - National Bureau of Economic Research - 2021

evaluate the global consequences of automation. Automation, modeled as capital- and high-skill biased technological change, is … a range of foundational models of automation. In our baseline scenario, automation has a moderate effect on regional … of the advanced technology and providing universal basic income to share gains from automation. The former policy can …

Persistent link: https://www.econbiz.de/10012629440

Refining Public Policies with Machine Learning : The Case of Tax Auditing

Battaglini, Marco; Guiso, Luigi; Lacava, Chiara; … - National Bureau of Economic Research - 2022

We study the extent to which ML techniques can be used to improve tax auditing efficiency using administrative data, without the need of randomized audits. Using Italy's population data on sole proprietorship tax returns, audits and their outcome, we develop a new approach to address the so...

Persistent link: https://www.econbiz.de/10013477269

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