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Incomplete Written Contracts: Undescribable States of Nature
Abstract
This paper explores the extent to which the incompleteness of contracts can be attributed to their formal nature: the form, usually written, that contracts are required to take to be enforceable in a court of law by legal prescription, common practice, or simply the contracting parties' will. We model the formal nature of state-contingent contracts as the requirement that the mapping from states of the world to the corresponding outcomes must be of an algorithmic nature. It is shown that such algorithmic nature, although by itself is not enough to generate incomplete contracts, when paired with a similar restriction on the contracting parties' selection process yields endogenously incomplete optimal contracts.
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Citations
Cited by
Firms, Contracts, and Financial Structure
Hart, O. (1995) · doi:10.1093/0198288816.001.0001 · Cited by 4,672
Reputations, Relationships, and Contract Enforcement
MacLeod, W. B. (2007) · Journal of Economic Literature · doi:10.1257/jel.45.3.595 · Cited by 384
Gong, Y., Shenkar, O., Luo, Y., & Nyaw, M. (2007) · Strategic Management Journal · doi:10.1002/smj.626 · Cited by 192
Aragones, E., Gilboa, I., Postlewaite, A., & Schmeidler, D. (2005) · American Economic Review · doi:10.1257/000282805775014308 · Cited by 123
Axtell, R. (2018) · Handbook of Computational Economics · doi:10.1016/bs.hescom.2018.05.001 · Cited by 13
Metadata
- Authors
- Anderlini, L., & Felli, L.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-11-01
- Volume
- 109
- Issue
- 4
- Pages
- 1085-1124
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2066957297
- Cited by
- 162
- References
- 0
- FWCI
- 18.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- Anderlini, L., & Felli, L. (1994). Incomplete Written Contracts: Undescribable States of Nature. The Quarterly Journal of Economics. https://doi.org/10.2307/2118357
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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.