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Aristeidis Raftapostolos

King's College London (from arXiv:2501.04607, 2025) · ORCID · OpenAlex

4 papers in scope · 2 published · 2 on the econ.EM arXiv · 42 citations · h-index 2 (over the papers listed here)

Related authors

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

  1. Andreas Joseph
  2. Dimitris Korobilis
  3. Sanjog Misra
  4. Tengyuan Liang
  5. Mingli Chen
  6. Max H. Farrell
  7. Gregor Kastner
  8. Florian Huber
  9. Martin Weidner
  10. Iván Fernández-Val
  11. Susan Athey
  12. Guido W. Imbens
  13. John C. Mitchell
  14. Victor Chernozhukov
  15. Gary Koop
  16. Sylvia Frühwirth-Schnatter
  17. Maximilian Schröder
  18. Ilias Chronopoulos
  19. Niko Hauzenberger
  20. Matias D. Cattaneo

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

(2 of 4)

Forecasting with Deep Pooled Panel Neural Networks
published2026 · Econometric Reviews
with Ilias Chronopoulos, Katerina Chrysikou, George Kapetanios, James Mitchell
Econometric Reviews
Monthly GDP Growth Estimates for the U.S. States
working paper2025 · arXiv · 1 citations
with Gary Koop, Stuart McIntyre, James Mitchell
Paper profile arXiv arXiv:2501.04607
Deep Neural Network Estimation in Panel Data Models
working paper2023 · arXiv · 6 citations
with Ilias Chronopoulos, Katerina Chrysikou, George Kapetanios, John C. Mitchell, James Mitchell
Paper profile arXiv arXiv:2305.19921
Forecasting Value-at-Risk Using Deep Neural Network Quantile Regression
published2023 · Journal of Financial Econometrics · 35 citations
with Ilias Chronopoulos, George Kapetanios
Journal of Financial Econometrics

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.