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Cited by 202

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Human capital relatedness and mergers and acquisitions

Open access
Lee, Kyeong Hun, Mauer, David C., Xu, Emma Qianying·2018·Journal of Financial Economics

Abstract

We construct a measure of the pairwise relatedness of firms’ human capital to examine whether human capital relatedness is a key factor in mergers and acquisitions. We find that mergers are more likely and merger returns and postmerger performance are higher when firms have related human capital. These relations are stronger or only present in acquisitions where the merging firms do not operate in the same industries or product markets. Reductions in employment and wages following mergers with high human capital relatedness suggest that the merged firm has greater ability to layoff low quality and/or duplicate employees and reduce labor costs. We further show in a falsification test that human capital relatedness has no effect on acquiring firm returns in asset sales when little or no labor is transferred, which helps validate our measure of human capital relatedness.

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Crossref · 10.1016/j.jfineco.2018.03.008

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Metadata

Authors
Lee, K. H., Mauer, D. C., & Xu, E. Q.
Venue
Journal of Financial Economics
Publisher
Elsevier BV
Published
2018-07
Volume
129
Issue
1
Pages
111-135
ISSN
0304-405X (ISSN-L)
OpenAlex
W2742985510
Cited by
202
References
1
FWCI
48.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human capital relatedness and mergers and acquisitions. https://app.cochat.ai/papers/10.1016/j.jfineco.2018.03.008
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Lee, K. H., Mauer, D. C., & Xu, E. Q. (2018). Human capital relatedness and mergers and acquisitions. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2018.03.008

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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.