The DOI matches its Crossref record.
Postwar U.S. Business Cycles: An Empirical Investigation
Abstract
A study documents some features of aggregate economic fluctuations sometimes referred to as business cycles. The investigation uses quarterly data from the postwar US economy. The fluctuations studied are those that are too rapid to be accounted for by slowly changing demographic and technological factors and changes in the stocks of capital that produce secular growth in output per capita. The study proposes a procedure for representing a times series as the sum of a smoothly varying trend component and a cyclical component. The nature of the comovements of the cyclical components of a variety of macroeconomic time series is documented. It is found that these comovements are very different than the corresponding comovements of the slowly varying trend components.
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
Transition Modeling and Econometric Convergence Tests
Phillips, P. C. B., & Sul, D. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00811.x · Cited by 1,451
Hsu, P.-H., Li, K., & Tsou, C.-Y. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3578215 · Cited by 665
Going to extremes: Politics after financial crises, 1870–2014
Funke, M., Schularick, M., & Trebesch, C. (2016) · European Economic Review · doi:10.1016/j.euroecorev.2016.03.006 · Cited by 616
Macrofinancial History and the New Business Cycle Facts
Jordà, Ò., Schularick, M., & Taylor, A. M. (2017) · NBER Macroeconomics Annual · doi:10.1086/690241 · Cited by 486
The impact of UN and US economic sanctions on GDP growth
Neuenkirch, M., & Neumeier, F. (2015) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2015.09.001 · Cited by 349
Metadata
- Authors
- Hodrick, R. J., & Prescott, E. C.
- Venue
- Journal of Money, Credit and Banking
- Publisher
- JSTOR
- Published
- 1997-02
- Volume
- 29
- Issue
- 1
- Pages
- 1
- ISSN
- 0022-2879 (ISSN-L)
- OpenAlex
- W2088563154
- Cited by
- 7,349
- References
- 0
- FWCI
- 218.11
- 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: Postwar U.S. Business Cycles: An Empirical Investigation. https://app.cochat.ai/papers/10.2307/2953682
- The paper
- Hodrick, R. J., & Prescott, E. C. (1997). Postwar U.S. Business Cycles: An Empirical Investigation. Journal of Money, Credit and Banking. https://doi.org/10.2307/2953682
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.