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Cited by 580

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The Economics of Career Concerns, Part I: Comparing Information Structures

Dewatripont, Mathias, Jewitt, Ian, Tirole, Jean·1999·Review of Economic Studies

Abstract

Many incentives in organizations arise not through explicit formal incentive contracts but rather implicitly through career concerns. This paper models career concerns through agents trying to manipulate the market assessment of their future productivity. The information flow from current actions to market assessment is therefore crucial in determining the nature of these incentives. Improved information may either increase or reduce incentives. The impact of information provides a major distinction between the explicit and implicit incentives model. The paper derives general results on comparisons of information structures which serve as counterparts to the standard results on information structures in the principal-agent model: sufficient statistic, impact of a Blackwell garbling, comparison of inclusive information structures.

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Metadata

Authors
Dewatripont, M., Jewitt, I., & Tirole, J.
Venue
Review of Economic Studies
Published
1999-01
Volume
66
Issue
1
Pages
183-198
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2025183095
Cited by
580
References
12
FWCI
21.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Economics of Career Concerns, Part I: Comparing Information Structures. https://app.cochat.ai/papers/10.1111/1467-937x.00084
The paper
Dewatripont, M., Jewitt, I., & Tirole, J. (1999). The Economics of Career Concerns, Part I: Comparing Information Structures. Review of Economic Studies. https://doi.org/10.1111/1467-937x.00084

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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.