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Cited by 441

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

Honesty in Managerial Reporting

Open access
Evans, John H., Hannan, R. Lynn, Krishnan, Ranjani, Moser, Donald V.·2001·The Accounting Review

Abstract

This study reports the results of three experiments that examine how preferences for wealth and honesty affect managerial reporting. We find that subjects often sacrifice wealth to make honest or partially honest reports, and they generally do not lie more as the payoff to lying increases. We also find less honesty under a contract that provides a smaller share of the total surplus to the manager than under one that provides a larger share, suggesting that the extent of honesty may depend on how the surplus is divided between the manager and the firm. The optimal agency contract yields more firm profit than a contract that relies exclusively on honest reporting. However, a modified version of the optimal agency contract, which makes use of subjects' preferences for honest reporting, yields the highest firm profit. These results suggest that firms may be able to design more profitable employment contracts than those identified by conventional economic analysis.

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Crossref · 10.2308/accr.2001.76.4.537

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Metadata

Authors
Evans, J. H., Hannan, R. L., Krishnan, R., & Moser, D. V.
Venue
The Accounting Review
Published
2001-10-01
Volume
76
Issue
4
Pages
537-559
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
OpenAlex
W3122727044
Cited by
441
References
2
FWCI
25.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Honesty in Managerial Reporting. https://app.cochat.ai/papers/10.2308/accr.2001.76.4.537
The paper
Evans, J. H., Hannan, R. L., Krishnan, R., & Moser, D. V. (2001). Honesty in Managerial Reporting. The Accounting Review. https://doi.org/10.2308/accr.2001.76.4.537

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.