Daniel Rock
TitleCited byYear
Artificial Intelligence and the Modern Productivity Paradox
E Brynjolfsson, D Rock, C Syverson
The Economics of Artificial Intelligence: An Agenda, 23, 2019
241*2019
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
742018
The productivity J-curve: How intangibles complement general purpose technologies
E Brynjolfsson, D Rock, C Syverson
National Bureau of Economic Research Working Paper Series, 2018
272018
Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence
D Rock
Available at SSRN 3427412, 2019
22019
IT, AI and the Growth of Intangible Capital
P Tambe, LM Hitt, D Rock, E Brynjolfsson
Available at SSRN 3416289, 2019
12019
Identification of Peer Effects in Networked Panel Data
S Aral, D Rock, S J Taylor
International Conference On Information (ICIS), 2016
1*2016
Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
E Brynjolfsson, T Mitchell, D Rock
Inter-university Consortium for Political and Social Research (ICPSR), 2019
2019
Essays on information technology, intangible capital, and the economics of artificial intelligence
DI Rock
Massachusetts Institute of Technology, 2019
2019
Estimating peer effects in networked panel data
DI Rock
Massachusetts Institute of Technology, 2016
2016
Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine-Biased Technological Change, 2000-2016
S Benzell, G Lagarda, D Rock
Non-Routine-Biased Technological Change 2016, 2000
2000
Library & Archives
E Brynjolfsson, D Rock, P Tambe
HOW INTANGIBLES COMPLEMENT GENERAL PURPOSE TECHNOLOGIES
E Brynjolfsson, D Rock, C Syverson
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Articles 1–12