The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
A general test for time dependence in parameters
Abstract
A new test for time‐dependent parameters is proposed. The Trig‐test is based on a trigonometric expansion to approximate the unknown functional form of the variation in the parameters concerned. It is shown to have the correct empirical size and excellent power to detect structural breaks and stochastic parameter variation. The appropriate use of the Trig‐test is demonstrated by testing for structural breaks in the US inflation rate. The test detects a statistically significant increase in the US inflation rate beginning in the early 1970s and lasting through to the early 1980s. Copyright © 2004 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
The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis
Perron, P. (1989) · Econometrica · doi:10.2307/1913712 · Cited by 7,732
Estimating and Testing Linear Models with Multiple Structural Changes
Bai, J., & Perron, P. (1998) · Econometrica · doi:10.2307/2998540 · Cited by 6,112
Computation and analysis of multiple structural change models
Bai, J., & Perron, P. (2003) · Journal of Applied Econometrics · doi:10.1002/jae.659 · Cited by 5,771
Techniques for Testing the Constancy of Regression Relationships Over Time
Brown, R. L., Durbin, J., & Evans, J. M. (1975) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1975.tb01532.x · Cited by 5,128
Forecasting, Structural Time Series Models and the Kalman Filter
Fildes, R., Harvey, A. C., West, M., & Harrison, J. (1991) · The Journal of the Operational Research Society · doi:10.2307/2583225 · Cited by 4,682
Optimal Tests when a Nuisance Parameter is Present Only Under the Alternative
Andrews, D. W. K., & Ploberger, W. (1994) · Econometrica · doi:10.2307/2951753 · Cited by 2,466
Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
Hansen, B. E. (1996) · Econometrica · doi:10.2307/2171789 · Cited by 2,269
Hypothesis testing when a nuisance parameter is present only under the alternative
DAVIES, R. B. (1987) · Biometrika · doi:10.1093/biomet/74.1.33 · Cited by 2,056
Testing for the Constancy of Parameters over Time
Nyblom, J. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478759 · Cited by 968
Bootstrap and Wild Bootstrap for High Dimensional Linear Models
Mammen, E. (1993) · The Annals of Statistics · doi:10.1214/aos/1176349025 · Cited by 889
Cited by
Çelik, O., Adali, Z., & Bari, B. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-23178-3 · Cited by 18
Metadata
- Authors
- Becker, R., Enders, W., & Hurn, S.
- Venue
- Journal of Applied Econometrics
- Publisher
- Wiley
- Published
- 2004-05-17
- Volume
- 19
- Issue
- 7
- Pages
- 899-906
- ISSN
- 0883-7252 (ISSN-L)
- 1099-1255
- OpenAlex
- W2129821275
- Cited by
- 257
- References
- 23
- FWCI
- 5.36
- 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: A general test for time dependence in parameters. https://app.cochat.ai/papers/10.1002/jae.751
- The paper
- Becker, R., Enders, W., & Hurn, S. (2004). A general test for time dependence in parameters. Journal of Applied Econometrics. https://doi.org/10.1002/jae.751
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.