Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 865

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

THE POLITICAL EVOLUTION OF PRINCIPAL-AGENT MODELS

Miller, Gary J.·2005·Annual Review of Political Science

Abstract

▪ Abstract With tools borrowed from the economic analysis of insurance, principal-agency theory has allowed political scientists new insights into the role of information asymmetry and incentives in political relationships. It has given us a way to think formally about power as the modification of incentives to induce actions in the interests of the principal. Principal-agency theory has evolved significantly as political scientists have sought to make it more applicable to peculiarly political institutions. In congressional oversight of the bureaucracy, increasing emphasis has been placed on negotiation of administrative procedures, rather than the imposition of outcome-based incentives, as originally conceived. Awareness of the problem of credible commitment has impelled more dramatic reformulations, in which agents perform their function only when their interests conflict with those of the principal, and they are guaranteed some degree of autonomy. The ‘political master’ finds himself in the position of the ‘dilettante’ who stands opposite the ‘expert,’ facing the trained official who stands within the management of administration. ( Weber 1958 )

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1146/annurev.polisci.8.082103.104840

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 33 references

Cited by

See all 865

Metadata

Authors
Miller, G. J.
Venue
Annual Review of Political Science
Published
2005-06-15
Volume
8
Issue
1
Pages
203-225
ISSN
  • 1094-2939 (ISSN-L)
  • 1545-1577
OpenAlex
W2105736111
Cited by
865
References
33
FWCI
36.49
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: THE POLITICAL EVOLUTION OF PRINCIPAL-AGENT MODELS. https://app.cochat.ai/papers/10.1146/annurev.polisci.8.082103.104840
The paper
Miller, G. J. (2005). THE POLITICAL EVOLUTION OF PRINCIPAL-AGENT MODELS. Annual Review of Political Science. https://doi.org/10.1146/annurev.polisci.8.082103.104840

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.