The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
OIL AND THE MACROECONOMY: A QUANTITATIVE STRUCTURAL ANALYSIS
Abstract
We model an open economy where macroeconomic variables fluctuate in response to oil supply shocks, as well as aggregate demand and supply shocks generated domestically and abroad. We use several robust predictions of the model to identify five fundamental shocks underlying the fluctuations of the (real) oil price, the US activity and the global business cycle. The estimates show that supply shocks generated in the global economy explain the largest fraction of the oil price fluctuations, about four times more than canonical oil supply shocks. The correlation between oil prices and the US activity varies with the type of shock.
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
WHY AGNOSTIC SIGN RESTRICTIONS ARE NOT ENOUGH: UNDERSTANDING THE DYNAMICS OF OIL MARKET VAR MODELS
Kilian, L., & Murphy, D. P. (2012) · Journal of the European Economic Association · doi:10.1111/j.1542-4774.2012.01080.x · Cited by 544
Cited by
The Macroeconomic Effects of Oil Supply News: Evidence from OPEC Announcements
Känzig, D. R. (2021) · American Economic Review · doi:10.1257/aer.20190964 · Cited by 448
Blanchard, O. J., & Riggi, M. (2013) · Journal of the European Economic Association · doi:10.1111/jeea.12029 · Cited by 363
Industry Dynamics and Competition from Low‐Wage Countries: Evidence on Italy
Federico, S. (2014) · Oxford Bulletin of Economics and Statistics · doi:10.1111/obes.12023 · Cited by 281
Metadata
- Authors
- Lippi, F., & Nobili, A.
- Venue
- Journal of the European Economic Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-06-27
- Volume
- 10
- Issue
- 5
- Pages
- 1059-1083
- ISSN
- 1542-4766 (ISSN-L)
- OpenAlex
- W2077133843
- Cited by
- 464
- References
- 1
- FWCI
- 175.74
- 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: OIL AND THE MACROECONOMY: A QUANTITATIVE STRUCTURAL ANALYSIS. https://app.cochat.ai/papers/10.1111/j.1542-4774.2012.01079.x
- The paper
- Lippi, F., & Nobili, A. (2012). OIL AND THE MACROECONOMY: A QUANTITATIVE STRUCTURAL ANALYSIS. Journal of the European Economic Association. https://doi.org/10.1111/j.1542-4774.2012.01079.x
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.
