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Guy Tchuente

University of Kent (from arXiv:2106.15003, 2021) · ORCID · OpenAlex

15 papers in scope · 9 published · 9 on the econ.EM arXiv · 60 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.

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  2. Cristine Campos de Xavier Pinto
  3. Sami Stouli
  4. Bernard Salanié
  5. Henrik Sigstad
  6. Daniel Nevo
  7. Amanda Kowalski
  8. Francis Vella
  9. Seojeong Lee
  10. Bruce E. Hansen
  11. Dor Leventer
  12. Manudeep Bhuller
  13. Kyle Butts
  14. Pedro Picchetti
  15. Laura Caron
  16. Iván Fernández-Val
  17. Victor Chernozhukov
  18. Emmanuel Selorm Tsyawo
  19. Whitney K. Newey
  20. Sokbae Lee

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

(8 of 15)

Weak identification and estimation of social interaction models
published2026 · Journal of Statistical Planning and Inference · 2 citations
Journal of Statistical Planning and Inference
Who Matters to Whom? Identifying Peer Effects with Propagation Geometry
working paper2026 · arXiv
Paper profile arXiv arXiv:2602.23594
Distributional Instruments: Identification and Estimation with Quantile Least Squares
working paper2026 · arXiv
with Rowan Cherodian
Paper profile arXiv arXiv:2601.16865
Moran’s I lasso for models with spatially correlated data
published2025 · Econometrics Journal · 1 citations · first circulated 2023
with Sylvain Barde, Rowan Cherodian
Paper profile Econometrics Journal arXiv:2310.02773
Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy
working paper2024 · arXiv
with Chad Fiechter, Binayak Kunwar
Paper profile arXiv arXiv:2411.10600
Moran's I 2-Stage Lasso: for Models with Spatial Correlation and Endogenous Variables
working paper2024 · arXiv
with Sylvain Barde, Rowan Cherodian
Paper profile arXiv arXiv:2404.02584
Learning the Right Skill: Vocational Curricula and Returns to Skills
published2024 · Journal of Labor Economics · 5 citations
with Femke Cnossen, Matloob Piracha
Journal of Labor Economics
Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects
published2023 · Econometrics Journal · 1 citations · first circulated 2016
with Alexander Klein, Alex Klein
Paper profile Econometrics Journal arXiv:2009.06570
The forest behind the tree: Heterogeneity in how U.S. Governor’s party affects black workers
published2022 · The Review of Black Political Economy · first circulated 2021
with Johnson Kakeu, John Nana Francois
The Review of Black Political Economy
Fighting for not-So-Religious souls: The role of religious competition in secular conflicts.
published2021 · 1 citations · first circulated 2019
with Hector Galindo-Silva, Héctor Galindo Silva
publisher
A Note on the Topology of the First Stage of 2SLS with Many Instruments
working paper2021 · arXiv
Paper profile arXiv arXiv:2106.15003
Fuzzy Difference-in-Discontinuities: Identification Theory and Application to the Affordable Care Act
working paper2018 · arXiv · 2 citations
with Hector Galindo-Silva, Nibene Habib Somé
Paper profile arXiv arXiv:1812.06537
Regularization Based Anderson Rubin Tests for Many Instruments
published2016 · Studies in Economics · 6 citations
with Marine Carrasco
no link
Efficient Estimation with Many Weak Instruments Using Regularization Techniques
published2015 · Econometric Reviews · 8 citations · first circulated 2013
with Marine Carrasco
Econometric Reviews
Regularized LIML for many instruments
published2015 · Journal of Econometrics · 34 citations · first circulated 2013
with Marine Carrasco
Journal of 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.