The DOI matches its Crossref record.
The Market for Corporate Control: The Empirical Evidence Since 1980
Abstract
In the 1980s, the market for corporate control has been increasingly active, and the quantity of output of academic researchers studying corporate control questions has mirrored the market activity. This review examines the returns to bidders and targets, and the effects of defending against hostile takeovers.
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Citations
Cited by
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
Firms, Contracts, and Financial Structure
Hart, O. (1995) · doi:10.1093/0198288816.001.0001 · Cited by 4,672
(1997) · RePEc: Research Papers in Economics · Cited by 4,621
The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems
JENSEN, M. C. (1993) · The Journal of Finance · doi:10.2307/2329018 · Cited by 1,666
Does Delaware law improve firm value?
Daines, R. (2001) · Journal of Financial Economics · doi:10.1016/s0304-405x(01)00086-1 · Cited by 538
Metadata
- Authors
- Jarrell, G. A., Brickley, J. A., & Netter, J. M.
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 1988-02-01
- Volume
- 2
- Issue
- 1
- Pages
- 49-68
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W2106005007
- Cited by
- 1,119
- References
- 0
- FWCI
- 140.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Market for Corporate Control: The Empirical Evidence Since 1980. https://app.cochat.ai/papers/10.1257/jep.2.1.49
- The paper
- Jarrell, G. A., Brickley, J. A., & Netter, J. M. (1988). The Market for Corporate Control: The Empirical Evidence Since 1980. Journal of Economic Perspectives. https://doi.org/10.1257/jep.2.1.49
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.
