EconBase
← All authors

Caspar Kaiser

University of Warwick (per OpenAlex) · ORCID · OpenAlex

4 papers in scope · 3 published · 1 on the econ.EM arXiv · 64 citations · h-index 4 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Nattavudh Powdthavee
  2. Ekaterina Oparina
  3. Sorawoot Srisuma
  4. Le-Yu Chen
  5. Jan-Emmanuel De Neve
  6. Niccolò Gentile
  7. Conchita D’Ambrosio
  8. Alexandre Tkatchenko
  9. Andrew E. Clark
  10. Achim Ahrens
  11. Mark E. Schaffer
  12. David M. Kaplan
  13. Christian Hansen
  14. Abhimanyu Gupta
  15. Sokbae Lee
  16. Ivan Korolev
  17. Xi Qu
  18. Victor Chernozhukov
  19. Longhao Zhuo
  20. Myung Hwan Seo

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 4)

Machine learning in the prediction of human wellbeing
published2025 · Scientific Reports · 21 citations
with Ekaterina Oparina, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio
Scientific Reports
Human Wellbeing and Machine Learning
working paper2022 · arXiv · 6 citations
with Ekaterina Oparina, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio
Paper profile arXiv arXiv:2206.00574
Using memories to assess the intrapersonal comparability of wellbeing reports
published2021 · 18 citations · first circulated 2020
publisher
People do not adapt. New analyses of the dynamic effects of own and reference income on life satisfaction
published2020 · 19 citations · first circulated 2018
publisher

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.