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Cited by 900

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Choice of Stock Ownership Structure: Agency Costs, Monitoring, and the Decision to Go Public

Pagano, M., Roell, A.·1998·The Quarterly Journal of Economics

Abstract

From the viewpoint of a company's controlling shareholder, the optimal ownership structure generally involves some measure of dispersion, to avoid excessive monitoring by other shareholders. The optimal dispersion of share ownership can be achieved by going public, but this choice also entails some costs (the cost of listing and the loss of control over the shareholder register). If the controlling shareholder sells shares privately instead, he avoids the costs of going public but must tolerate large external shareholders who may monitor him too closely. Thus, the owner faces a trade-off between the cost of providing a liquid market and overmonitoring. The incentive to go public is stronger, the larger the amount of external funding required. The listing decision is also affected by the strictness of disclosure rules for public relative to private firms, and the legal limits on bribes aimed at dissuading monitoring by shareholders.

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Metadata

Authors
Pagano, M., & Roell, A.
Venue
The Quarterly Journal of Economics
Published
1998-02-01
Volume
113
Issue
1
Pages
187-225
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2151458238
Cited by
900
References
2
FWCI
80.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Choice of Stock Ownership Structure: Agency Costs, Monitoring, and the Decision to Go Public. https://app.cochat.ai/papers/10.1162/003355398555568
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Pagano, M., & Roell, A. (1998). The Choice of Stock Ownership Structure: Agency Costs, Monitoring, and the Decision to Go Public. The Quarterly Journal of Economics. https://doi.org/10.1162/003355398555568

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.