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Cited by 678

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Are US Industries Becoming More Concentrated?

Grullon, Gustavo, Larkin, Yelena, Michaely, Roni·2019·Review of Finance

Abstract

Since the late 1990s, over 75% of US industries have experienced an increase in concentration levels. We find that firms in industries with the largest increases in product market concentration show higher profit margins and more profitable mergers and acquisitions deals. At the same time, we find no evidence for a significant increase in operational efficiency. Taken together, our results suggest that market power is becoming an important source of value. These findings are robust to the inclusion of (i) private firms; (ii) factors accounting for foreign competition; and (iii) the use of alternative measures of concentration. We also show that the higher profit margins associated with an increase in concentration are reflected in higher returns to shareholders. Overall, our results suggest that the US product markets have undergone a shift that has potentially weakened competition across the majority of industries.

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Crossref · 10.1093/rof/rfz007

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Metadata

Authors
Grullon, G., Larkin, Y., & Michaely, R.
Venue
Review of Finance
Published
2019-04-23
Volume
23
Issue
4
Pages
697-743
ISSN
  • 1382-6662 (ISSN-L)
  • 1572-3097
  • 1573-692X
OpenAlex
W3125574485
Cited by
678
References
6
FWCI
91.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Are US Industries Becoming More Concentrated? https://app.cochat.ai/papers/10.1093/rof/rfz007
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Grullon, G., Larkin, Y., & Michaely, R. (2019). Are US Industries Becoming More Concentrated? Review of Finance. https://doi.org/10.1093/rof/rfz007

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.