Spatial Polarization. A Replication Study of Cerina et al. (The Economic Journal, 2023)

Noah Arman Kouchekinia et al.

Journal of Applied Econometrics2026https://doi.org/10.1002/jae.70036article
AJG 3ABDC A*
Weight
0.50

Abstract

Cerina et al. (2023) affirm greater polarization of occupations between high‐ and low‐skilled labor in large cities relative to small cities. The authors attribute differential rates of employment growth by occupation types to skill‐biased technological change alongside consumption spillovers. They find a smaller role for differential total factor productivity gains in tradable sectors and extreme‐skill complementarity in production. We computationally reproduce their results, reconstruct the authors' data cleaning and harmonization procedures, and test the broader replicability of the results. We find the results support for the internal validity of Cerina et al. (2023)'s results and broaden the external validity of the analysis.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1002/jae.70036

Or copy a formatted citation

@article{noah2026,
  title        = {{Spatial Polarization. A Replication Study of Cerina et al. (The Economic Journal, 2023)}},
  author       = {Noah Arman Kouchekinia et al.},
  journal      = {Journal of Applied Econometrics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/jae.70036},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Spatial Polarization. A Replication Study of Cerina et al. (The Economic Journal, 2023)

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.