Manav Raj

Economics and Econometrics · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 26 citations into it; #20,766 of 23,481 by trust here, #18,597 by citations
• Economics & Operations Research — 11 citations into it; #81 of 244 by trust here, #127 by citations
• Sociology and Political Science — 10 citations into it; #4,915 of 22,756 by trust here, #11,516 by citations
• Strategy and Management — 9 citations into it; #9,497 of 10,874 by trust here, #10,369 by citations

Whom Manav Raj trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Edward W. Felten
2. Michael Webb
3. Daron Acemoglu
4. Erik Brynjolfsson
5. C. Frey
6. David H. Autor
7. J. Shaver
8. Robert C. Seamans
9. Songül Tolan
10. Morgan C. Benton

Who trusts Manav Raj overall

1. Edward W. Felten
2. David H. Autor
3. Tyna Eloundou
4. Robert C. Seamans
5. Daron Acemoglu
6. Jason Furman
7. Sam Manning
8. Daniel Rock

Papers from Manav Raj's perspective

Ordered by how strongly the researchers Manav Raj trusts endorse each paper. Same corpus, a different order for every researcher.

1. What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
2. A Method to Link Advances in Artificial Intelligence to Occupational Abilities
3. The Impact of Artificial Intelligence on the Labor Market
4. The future of employment: How susceptible are jobs to computerisation?
5. Replication data for: Why Are There Still So Many Jobs? The History and Future of Workplace Automation
6. The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis
7. AI and Jobs: Evidence from Online Vacancies
8. What can machine learning do? Workforce implications
9. Putting Tasks to the Test: Human Capital, Job Tasks and Wages. NBER Working Paper No. 15116.
10. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

Their papers

• A Method to Link Advances in Artificial Intelligence to Occupational Abilities (2018) — 200 citations
• How will Language Modelers like ChatGPT Affect Occupations and Industries? (2023) — 189 citations
• Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses (2021) — 349 citations