The DOI matches its Crossref record.
Double-Sided Moral Hazard and the Nature of Share Contracts
Open accessAbstract
Contractual arrangements involving revenue/profit sharing are often based on fairly simple, often linear, rules. In addition, in many contexts these contracts are not finely adjusted to the particular circumstances of individual agents or markets, nor do they vary over time to the extent current theories based on optimal contracting suggest they should. We develop a simple model of such revenue- or profit-sharing arrangements based on double-sided moral hazard and show that this model can account for many of these stylized facts. More specifically, the model shows that linear contracts can be optimal and that benefits from customizing terms can, in some cases, be quite limited, if not zero.
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
Cited by
Blair, R. D., & Lafontaine, F. (2005) · doi:10.1017/cbo9780511753879 · Cited by 364
Self-citationIntermediation in a Sharing Economy: Insurance, Moral Hazard, and Rent Extraction
Weber, T. A. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.995520 · Cited by 233
How Do Franchise Contracts Evolve? A Study of Three German SMEs*
Cochet, O., & Garg, V. K. (2008) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2007.00236.x · Cited by 72
International Franchising Practices in Mexico: Do Franchisors Customize Their Contracts?
Lafontaine, F., & Oxley, J. E. (2004) · Journal of Economics & Management Strategy · doi:10.1111/j.1430-9134.2004.00005.x · Cited by 69
Self-citationReciprocity and incentive pay in the workplace
Dur, R., Non, A., & Roelfsema, H. (2010) · Journal of Economic Psychology · doi:10.1016/j.joep.2010.05.001 · Cited by 50
Metadata
- Authors
- Bhattacharyya, S., & Lafontaine, F.
- Venue
- The RAND Journal of Economics
- Publisher
- Wiley
- Published
- 1995
- Volume
- 26
- Issue
- 4
- Pages
- 761
- ISSN
- 0741-6261 (ISSN-L)
- OpenAlex
- W2087110418
- Cited by
- 537
- References
- 0
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- green
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: Double-Sided Moral Hazard and the Nature of Share Contracts. https://app.cochat.ai/papers/10.2307/2556017
- The paper
- Bhattacharyya, S., & Lafontaine, F. (1995). Double-Sided Moral Hazard and the Nature of Share Contracts. The RAND Journal of Economics. https://doi.org/10.2307/2556017
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.