The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Analysis of the Principal-Agent Problem
Abstract
Most analyses of the principal-agent problem assume that the principal chooses an incentive scheme to maximize expected utility subject to the agent's utility being at a stationary point.An important paper of Mirrlees has shown that this approach is generally invalid.We present an alternative procedure.If the agent's preferences over income lotteries are independent of action, we show that the optimal way of implementing an action by the agent can be found by solving a convex programming problem.We use this to characterize the optimal incentive scheme and to analyze the determinants of the seriousness of an incentive problem.'Support from the U.K.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Good News and Bad News: Representation Theorems and Applications
Milgrom, P. R. (1981) · The Bell Journal of Economics · doi:10.2307/3003562 · Cited by 3,123
Cited by
The Provision of Incentives in Firms
Prendergast, C. (1999) · Journal of Economic Literature · doi:10.1257/jel.37.1.7 · Cited by 3,338
Using Cost Observation to Regulate Firms
Laffont, J.-J., & Tirole, J. (1986) · Journal of Political Economy · doi:10.1086/261392 · Cited by 1,206
Bergen, M., Dutta, S., & Walker, O. C. (1992) · Journal of Marketing · doi:10.1177/002224299205600301 · Cited by 1,105
Contracting theory and accounting
Lambert, R. A. (2001) · Journal of Accounting and Economics · doi:10.1016/s0165-4101(01)00037-4 · Cited by 1,050
Growing out of trouble? Corporate responses to liability risk
Gormley, T. A., & Matsa, D. A. (2011) · Review of Financial Studies · doi:10.1093/rfs/hhr011 · Cited by 690
Metadata
- Authors
- Grossman, S. J., & Hart, O. D.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1983-01
- Volume
- 51
- Issue
- 1
- Pages
- 7
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W3124071598
- Cited by
- 2,095
- References
- 1
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Analysis of the Principal-Agent Problem. https://app.cochat.ai/papers/10.2307/1912246
- The paper
- Grossman, S. J., & Hart, O. D. (1983). An Analysis of the Principal-Agent Problem. Econometrica. https://doi.org/10.2307/1912246
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.
