The DOI matches its Crossref record.
The Computational Experiment: An Econometric Tool
Open accessAbstract
An economic experiment places people in an environment desired by the experimenter, who then records the time paths of their economic behavior. Performing experiments using actual people at the level of national economies is obviously impractical but constructing a model economy and computing the economic behavior of the model's people is. Such experiments are termed ‘computational’ because economic behavior of the model's people is computed. This essay specifies the steps in designing a computational experiment to address some well-posed quantitative question. The computational experiment is an econometric tool used in the task of deriving the quantitative implications of theory.
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
Angrist, J. D., & Pischke, J.-S. (2010) · Journal of Economic Perspectives · doi:10.1257/jep.24.2.3 · Cited by 1,566
Abbring, J. H., & Heckman, J. J. (2007) · Handbook of Econometrics · doi:10.1016/s1573-4412(07)06072-2 · Cited by 122
Metadata
- Authors
- Kydland, F. E., & Prescott, E. C.
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 1996-02-01
- Volume
- 10
- Issue
- 1
- Pages
- 69-85
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W2160586573
- Cited by
- 358
- References
- 0
- FWCI
- 32.21
- Type
- journal article
- Language
- en
- Open access
- gold
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 Computational Experiment: An Econometric Tool. https://app.cochat.ai/papers/10.1257/jep.10.1.69
- The paper
- Kydland, F. E., & Prescott, E. C. (1996). The Computational Experiment: An Econometric Tool. Journal of Economic Perspectives. https://doi.org/10.1257/jep.10.1.69
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.
