The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Model uncertainty in cross‐country growth regressions
Open accessAbstract
We investigate the issue of model uncertainty in cross‐country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is spread widely among many models, suggesting the superiority of BMA over choosing any single model. Out‐of‐sample predictive results support this claim. In contrast to Levine and Renelt (1992), our results broadly support the more ‘optimistic’ conclusion of Sala‐i‐Martin (1997b), namely that some variables are important regressors for explaining cross‐country growth patterns. However, care should be taken in the methodology employed. The approach proposed here is firmly grounded in statistical theory and immediately leads to posterior and predictive inference. Copyright © 2001 John Wiley & Sons, Ltd.
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
Good, I. J. (1952) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1952.tb00104.x · Cited by 976
I Just Ran Four Million Regressions
Sala-i-Martin, X. (1997) · doi:10.3386/w6252 · Cited by 960
Prediction via Orthogonalized Model Mixing
Clyde, M., Desimone, H., & Parmigiani, G. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476989 · Cited by 145
Cited by
Hansen, B. E. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00785.x · Cited by 837
Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth
Bazzi, S., & Clemens, M. A. (2013) · American Economic Journal: Macroeconomics · doi:10.1257/mac.5.2.152 · Cited by 640
Can digital financial inclusion promote China's economic growth?
Liu, Y., Luan, L., Wu, W., Zhang, Z., & Hsu, Y. (2021) · International Review of Financial Analysis · doi:10.1016/j.irfa.2021.101889 · Cited by 584
Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis
Iršová, Z., & Havránek, T. (2013) · World Development · doi:10.1016/j.worlddev.2012.07.001 · Cited by 361
Model Averaging and Its Use in Economics
Steel, M. F. J. (2020) · Journal of Economic Literature · doi:10.1257/jel.20191385 · Cited by 321
Self-citation
Metadata
- Authors
- Fernández, C., Ley, E., & Steel, M. F. J.
- Venue
- Journal of Applied Econometrics
- Publisher
- Wiley
- Published
- 2001-09
- Volume
- 16
- Issue
- 5
- Pages
- 563-576
- ISSN
- 0883-7252 (ISSN-L)
- 1099-1255
- OpenAlex
- W2135728169
- Cited by
- 891
- References
- 3
- FWCI
- 41.16
- Type
- journal article
- Language
- en
- Open access
- green
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: Model uncertainty in cross‐country growth regressions. https://app.cochat.ai/papers/10.1002/jae.623
- The paper
- Fernández, C., Ley, E., & Steel, M. F. J. (2001). Model uncertainty in cross‐country growth regressions. Journal of Applied Econometrics. https://doi.org/10.1002/jae.623
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.
