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Daniel Rock
Daniel Rock
Assistant Professor, Wharton School of the University of Pennsylvania
Bestätigte E-Mail-Adresse bei wharton.upenn.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
COVID-19 and remote work: An early look at US data
E Brynjolfsson, J Horton, A Ozimek, D Rock, G Sharma, HY TuYe
National Bureau of Economic Research, 2020
16112020
Artificial intelligence and the modern productivity paradox
E Brynjolfsson, D Rock, C Syverson
The economics of artificial intelligence: An agenda 23, 23-57, 2019
15612019
GPTs are GPTs: Labor market impact potential of LLMs
T Eloundou, S Manning, P Mishkin, D Rock
Science 384 (6702), 1306-1308, 2024
1069*2024
What can machines learn and what does it mean for occupations and the economy?
E Brynjolfsson, T Mitchell, D Rock
AEA papers and proceedings 108, 43-47, 2018
7692018
The productivity J-curve: How intangibles complement general purpose technologies
E Brynjolfsson, D Rock, C Syverson
American Economic Journal: Macroeconomics 13 (1), 333-372, 2021
6162021
Digital capital and superstar firms
P Tambe, L Hitt, D Rock, E Brynjolfsson
National Bureau of Economic Research, 2020
171*2020
Engineering value: The returns to technological talent and investments in artificial intelligence
D Rock
Available at SSRN 3427412, 2019
972019
How to Capitalize on Generative AI
A McAfee, D Rock, E Brynjolfsson
Harvard Business Review, 2023
232023
Understanding and addressing the modern productivity paradox
E Brynjolfsson, S Benzell, D Rock
Massachussetts Institute of Technology. Available online: https …, 2020
222020
How many Americans work remotely? a survey of surveys and their measurement issues
E Brynjolfsson, JJ Horton, C Makridis, A Mas, A Ozimek, D Rock, HY TuYe
National Bureau of Economic Research, 2023
202023
Quantifying the Distribution of Machine Learning’s Impact on Work
E Brynjolfsson, MR Frank, T Mitchell, I Rahwan, D Rock
Forthcoming.-2023, 2023
102023
MIT Sloan Management Review Article on How Managers Can Enable AI Talent in Organizations
D Rock
MIT Sloan Management Review, 2020
72020
How Will Machine Learning Transform the Labor Market?
E Brynjolfsson, D Rock, P Tambe
Governance in an Emerging New World 619, 2019
72019
Unpacking the AI–Productivity Paradox
E Brynjolfsson, D Rock, C Syverson
MIT Sloan Management Review, 2018
62018
job2vec: Learning a representation of jobs
S Bana, E Brynjolfsson, D Rock, S Steffen
52020
Identification of peer effects in networked panel data
D Rock, S Aral, SJ Taylor
42016
Understanding and Addressing the Modern Productivity Paradox” research brief published by the MIT Work of the Future Task Force, November 2020
E Brynjolfsson, S Benzell, D Rock
A more in-depth analysis and explanation is given in Erik Brynjolfsson …, 2021
32021
Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine-Biased Technological Change, 2000-2016
S Benzell, G Lagarda, D Rock
3*2018
Essays on information technology, intangible capital, and the economics of artificial intelligence
DI Rock
Massachusetts Institute of Technology, 2019
22019
How to solve the puzzle of missing productivity growth
E Brynjolfsson, SG Benzell, D Rock
Brookings Institution Commentary, 2021
12021
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