The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
What will take the con out of econometrics
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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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
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
White, H. (1980) · Econometrica · doi:10.2307/1912934 · Cited by 25,861
Goldfeld, S. M., Fand, D. I., & Brainard, W. C. (1976) · Brookings Papers on Economic Activity · doi:10.2307/2534372 · Cited by 568
Diagnostic tests as residual analysis
Pagan, A. R., & Hall, A. D. (1983) · Econometric Reviews · doi:10.1080/07311768308800039 · Cited by 432
(1982) · Journal of Economic Literature · Cited by 411
Reporting the Fragility of Regression Estimates
Leamer, E., & Leonard, H. (1983) · The Review of Economics and Statistics · doi:10.2307/1924497 · Cited by 322
The Estimation of Relationships with Autocorrelated Residuals by the Use of Instrumental Variables
Sargan, J. D. (1959) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1959.tb00317.x · Cited by 222
Cited by
(1991) · RePEc: Research Papers in Economics · Cited by 6,037
Angrist, J. D., & Pischke, J.-S. (2010) · Journal of Economic Perspectives · doi:10.1257/jep.24.2.3 · Cited by 1,566
(1985) · American Economic Review · Cited by 568
Data mining reconsidered: encompassing and the general‐to‐specific approach to specification search
Hoover, K. D., & Perez, S. J. (1999) · The Econometrics Journal · doi:10.1111/1368-423x.00025 · Cited by 486
Pre-Analysis Plans Have Limited Upside, Especially Where Replications Are Feasible
Coffman, L. C., & Niederle, M. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.81 · Cited by 156
Metadata
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 1986-01
- Volume
- 2
- Issue
- 2
- Pages
- 237-238
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W1564206865
- Cited by
- 296
- References
- 6
- FWCI
- 15.93
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: What will take the con out of econometrics. https://app.cochat.ai/papers/10.1016/0169-2070(86)90113-5
- The paper
- What will take the con out of econometrics. (1986). International Journal of Forecasting. https://doi.org/10.1016/0169-2070(86)90113-5
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.
