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The Economics of Artificial Intelligence: An Agenda
Ajay Agrawal,
Joshua Gans and
Avi Goldfarb
in NBER Books from National Bureau of Economic Research, Inc
JEL-codes: D8 J2 O3 O33 (search for similar items in EconPapers)
Date: 2019
Note: PR ITI ME LS
References: Add references at CitEc Citations: View citations in EconPapers (202)
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Chapters in this book: - Introduction to "The Economics of Artificial Intelligence: An Agenda" , pp 1-19

- Ajay Agrawal, Joshua Gans and Avi Goldfarb
- Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics , pp 23-57

- Erik Brynjolfsson, Daniel Rock and Chad Syverson
- Comment on 'Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics" , pp 57-59

- Rebecca Henderson
- The Technological Elements of Artificial Intelligence , pp 61-87

- Matt Taddy
- Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence , pp 89-110

- Ajay Agrawal, Joshua Gans and Avi Goldfarb
- Comment on "Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence" , pp 110-114

- Andrea Prat
- The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis , pp 115-146

- Iain Cockburn, Rebecca Henderson and Scott Stern
- Comment on "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis" , pp 146-148

- Matthew Mitchell
- Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth , pp 149-174

- Ajay Agrawal, John McHale and Alexander Oettl
- Artificial Intelligence as the Next GPT: A Political-Economy Perspective , pp 175-186

- Manuel Trajtenberg
- Artificial Intelligence, Income, Employment, and Meaning , pp 189-195

- Betsey Stevenson
- Artificial Intelligence, Automation, and Work , pp 197-236

- Daron Acemoglu and Pascual Restrepo
- Artificial Intelligence and Economic Growth , pp 237-282

- Philippe Aghion, Benjamin Jones and Charles Jones
- Comment on "Artificial Intelligence and Economic Growth" , pp 282-289

- Patrick Francois
- Artificial Intelligence and Jobs: The Role of Demand , pp 291-307

- James Bessen
- Public Policy in an AI Economy , pp 309-316

- Austan Goolsbee
- Should We Be Reassured If Automation in the Future Looks Like Automation in the Past? , pp 317-328

- Jason Furman
- R&D, Structural Transformation, and the Distribution of Income , pp 329-348

- Jeffrey D. Sachs
- Artificial Intelligence and Its Implications for Income Distribution and Unemployment , pp 349-390

- Anton Korinek and Joseph Stiglitz
- Neglected Open Questions in the Economics of Artificial Intelligence , pp 391-395

- Tyler Cowen
- Artificial Intelligence, Economics, and Industrial Organization , pp 399-419

- Hal Varian
- Comment on "Artificial Intelligence, Economics, and Industrial Organization" , pp 419-422

- Judith Chevalier
- Privacy, Algorithms, and Artificial Intelligence , pp 423-437

- Catherine Tucker
- Artificial Intelligence and Consumer Privacy , pp 439-462

- Ginger Zhe Jin
- Artificial Intelligence and International Trade , pp 463-492

- Avi Goldfarb and Daniel Trefler
- Punishing Robots: Issues in the Economics of Tort Liability and Innovation in Artificial Intelligence , pp 493-504

- Alberto Galasso and Hong Luo
- The Impact of Machine Learning on Economics , pp 507-547

- Susan Athey
- Comment on "The Impact of Machine Learning on Economics" , pp 548-551

- Mara Lederman
- Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data , pp 553-565

- Manav Raj and Robert Seamans
- How Artificial Intelligence and Machine Learning Can Impact Market Design , pp 567-585

- Paul Milgrom and Steven Tadelis
- Artificial Intelligence and Behavioral Economics , pp 587-608

- Colin Camerer
- Comment on "Artificial Intelligence and Behavioral Economics" , pp 608-610

- Daniel Kahneman
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