The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fluctuations in Uncertainty
Abstract
Uncertainty is an amorphous concept. It reflects uncertainty in the minds of consumers, managers, and policymakers about possible futures. It is also a broad concept, including uncertainty over the path of macro phenomena like GDP growth, micro phenomena like the growth rate of firms, and noneconomic events like war and climate change. In this essay, I address four questions about uncertainty. First, what are some facts and patterns about economic uncertainty? Both macro and micro uncertainty appear to rise sharply in recessions and fall in booms. Uncertainty also varies heavily across countries—developing countries appear to have about one-third more macro uncertainty than developed countries. Second, why does uncertainty vary during business cycles? Third, do fluctuations in uncertainty affect behavior? Fourth, has higher uncertainty worsened the Great Recession and slowed the recovery? Much of this discussion is based on research on uncertainty from the last five years, reflecting the recent growth of the literature.
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
Cites
“The Cyclicality of Productivity Dispersion”
Kehrig, M. (2011) · doi:10.2139/ssrn.1787761 · Cited by 107
Cited by
Measuring Economic Policy Uncertainty*
Baker, S. R., Bloom, N., & Davis, S. J. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjw024 · Cited by 12,458
Self-citationSpreading Uncertainty, Shrinking Birth Rates: A Natural Experiment for Italy
Comolli, C. L., & Vignoli, D. (2021) · European Sociological Review · doi:10.1093/esr/jcab001 · Cited by 172
Does economic policy uncertainty undermine stability of agricultural imports? Evidence from China
Zhang, Z., Brizmohun, R., Li, G., & Wang, P. (2022) · PLOS ONE · doi:10.1371/journal.pone.0265279 · Cited by 17
Disasters and intergroup peace in sub-Saharan Africa
Chung, E., & Rhee, I. (2022) · Journal of Peace Research · doi:10.1177/00223433211065249 · Cited by 15
Metadata
- Authors
- Bloom, N.
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 2014-05-01
- Volume
- 28
- Issue
- 2
- Pages
- 153-176
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W3122846673
- Cited by
- 2,027
- References
- 1
- FWCI
- 249.80
- 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: Fluctuations in Uncertainty. https://app.cochat.ai/papers/10.1257/jep.28.2.153
- The paper
- Bloom, N. (2014). Fluctuations in Uncertainty. Journal of Economic Perspectives. https://doi.org/10.1257/jep.28.2.153
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.