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Cited by 707

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Learning by Working in Big Cities

Open access
Roca, Jorge De La, Puga, Diego·2017·The Review of Economic Studies
DOI 10.1093/restud/rdw031
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Abstract

Abstract: Individual earnings are higher in bigger cities. We consider three reasons: spatial sorting of initially more productive workers, static advantages from workers ’ current location, and learning by working in bigger cities. Using rich administrative data for Spain, we find that workers in bigger cities do not have higher initial ability as reflected in fixed-effects. Instead, they obtain an immediate static premium and accumulate more valuable experience. The additional value of experience in bigger cities persists after leaving and is stronger for those with higher initial ability. This explains both the higher mean and greater dispersion of earnings in bigger cities. Key words: learning, city size, earnings premium, agglomeration economies jel classification: r10, r23, j31

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Crossref · 10.1093/restud/rdw031

Cites

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Metadata

Authors
Roca, J. D. L., & Puga, D.
Venue
The Review of Economic Studies
Publisher
Oxford University Press (OUP)
Published
2016-07-20
Volume
84
Issue
1
Pages
106-142
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
DOI
10.1093/restud/rdw031
OpenAlex
W2108472218
Cited by
707
References
47
FWCI
108.98
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Learning by Working in Big Cities. https://app.cochat.ai/papers/10.1093/restud/rdw031
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Roca, J. D. L., & Puga, D. (2017). Learning by Working in Big Cities. The Review of Economic Studies. https://doi.org/10.1093/restud/rdw031

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.