Caroline Chin

Economics and Econometrics · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Caroline Chin trusts overall

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

  1. David H. Autor
  2. Daron Acemoglu
  3. Michael Webb
  4. Jeffrey Lin
  5. Mark P. J. van der Loo
  6. P. Restrepo
  7. Erik Brynjolfsson
  8. David Dorn
  9. David J. Deming
  10. Stefano DellaVigna

Who trusts Caroline Chin overall

  1. David H. Autor
  2. Tyna Eloundou

Papers from Caroline Chin's perspective

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

  1. Robots and Jobs: Evidence from US Labor Markets
  2. What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
  3. Skills, Tasks and Technologies: Implications for Employment and Earnings. NBER Working Paper No. 16082.
  4. GloVe: Global Vectors for Word Representation
  5. Efficient Estimation of Word Representations in Vector Space
  6. The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market
  7. AI and Jobs: Evidence from Online Vacancies
  8. The Impact of Artificial Intelligence on the Labor Market
  9. A Method to Link Advances in Artificial Intelligence to Occupational Abilities
  10. Robot Imports and Firm-Level Outcomes (Social Science Research Network)

Their papers