Similar Search Results

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R. - 2016

linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its … strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975 … predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream …

Persistent link: https://www.econbiz.de/10011557905

Return of the Solow paradox? : IT, productivity, and employment in US manufacturing

Acemoglu, Daron; Autor, David H.; Dorn, David; Hanson, … - 2014

An increasingly influential "technological-discontinuity" paradigm suggests that IT-induced technological changes are rapidly raising productivity while making workers redundant. This paper explores the evidence for this view among the IT-using U.S. manufacturing industries. There is some...

Persistent link: https://www.econbiz.de/10010236437

Mirage on the horizon : geoengineering and carbon taxation without commitment

Acemoglu, Daron; Rafey, Will - 2018

We show that, in a model without commitment to future policies, geoengineering breakthroughs can have adverse environmental and welfare effects because they change the (equilibrium) carbon taxes. In our model, energy producers emit carbon, which creates a negative environmental externality, and...

Persistent link: https://www.econbiz.de/10011820231

Innovation network

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R. - 2016

Persistent link: https://www.econbiz.de/10011876795

Bottlenecks: sectoral imbalances and the US productivity slowdown

Acemoglu, Daron; Autor, David H.; Patterson, Christina - 2023

Persistent link: https://www.econbiz.de/10014318606

State capacity and American technology : evidence from the 19th century

Acemoglu, Daron; Moscona, Jacob; Robinson, James A. - 2016

Persistent link: https://www.econbiz.de/10011435833

The wrong kind of AI? : artificial intelligence and the future of labor demand

Acemoglu, Daron; Restrepo, Pascual - 2019

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological...

Persistent link: https://www.econbiz.de/10012001438

A comment on innovation in The Environment and Directed Technical Change

Wiskich, Anthony - 2019

Persistent link: https://www.econbiz.de/10012224510

The wrong kind of AI? : Artificial Intelligence and the future of labor demand

Acemoglu, Daron; Restrepo, Pascual - 2019

Persistent link: https://www.econbiz.de/10012005796

Young, restless and creative : openness to disruption and creative innovations

Acemoglu, Daron; Akcigit, Ufuk; Çelik, Murat Alp - 2014

Persistent link: https://www.econbiz.de/10010390432