Παρακολούθηση
Daniel Rock
Daniel Rock
Assistant Professor, Wharton School of the University of Pennsylvania
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα wharton.upenn.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
COVID-19 and remote work: An early look at US data
E Brynjolfsson, JJ Horton, A Ozimek, D Rock, G Sharma, HY TuYe
National Bureau of Economic Research, 2020
14062020
Artificial intelligence and the modern productivity paradox
E Brynjolfsson, D Rock, C Syverson
The economics of artificial intelligence: An agenda 23, 23-57, 2019
12532019
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
6302018
Gpts are gpts: An early look at the labor market impact potential of large language models
T Eloundou, S Manning, P Mishkin, D Rock
arXiv preprint arXiv:2303.10130, 2023
5182023
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
4832021
Digital capital and superstar firms
P Tambe, L Hitt, D Rock, E Brynjolfsson
National Bureau of Economic Research, 2020
144*2020
Engineering value: The returns to technological talent and investments in artificial intelligence
D Rock
Available at SSRN 3427412, 2019
812019
Understanding and addressing the modern productivity paradox
E Brynjolfsson, S Benzell, D Rock
202020
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
102023
Quantifying the Distribution of Machine Learning’s Impact on Work
E Brynjolfsson, MR Frank, T Mitchell, I Rahwan, D Rock
Forthcoming.-2023, 2023
82023
How Will Machine Learning Transform the Labor Market?
E Brynjolfsson, D Rock, P Tambe
Governance in an Emerging New World 619, 2019
82019
MIT Sloan Management Review Article on How Managers Can Enable AI Talent in Organizations
D Rock
MIT Sloan Management Review, 2020
72020
Unpacking the AI–Productivity Paradox
E Brynjolfsson, D Rock, C Syverson
MIT Sloan Management Review, 2018
52018
How to Capitalize on Generative AI
A McAfee, D Rock, E Brynjolfsson
Harvard Business Review, 2023
42023
Identification of peer effects in networked panel data
D Rock, S Aral, SJ Taylor
42016
job2vec: Learning a representation of jobs
S Bana, E Brynjolfsson, D Rock, S Steffen
32020
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
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
22021
How to solve the puzzle of missing productivity growth
E Brynjolfsson, SG Benzell, D Rock
Brookings Institution, 2021
12021
Essays on information technology, intangible capital, and the economics of artificial intelligence
DI Rock
Massachusetts Institute of Technology, 2019
12019
Δεν είναι δυνατή η εκτέλεση της ενέργειας από το σύστημα αυτή τη στιγμή. Προσπαθήστε ξανά αργότερα.
Άρθρα 1–20