Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 275

The DOI matches its Crossref record.

Time Series Analysis, Cointegration, and Applications

Open access
Granger, Clive W. J·2004·American Economic Review

Abstract

The two prize winners in Economics this year would describe themselves as “Econometricians, ” so I thought that I should start by explaining that term. One can begin with the ancient subject of Mathematics which is largely concerned with the discovery of relationships between deterministic variables using a rigorous argument. (A deterministic variable is one whose value is known with certainty.) However, by the middle of the last millennium it became clear that some objects were not deterministic, they had to be described with the use of probabilities, so that Mathematics grew a substantial sub-field known as “Statistics. ” This later became involved with the analysis of data and a number of methods have been developed for data having what may be called “standard properties.” However, in some areas of application, the data that they generated were found to be not standard, and so special sub-sub-fields needed to be developed. For example, Biology produced Biometrics, Psychology gave us Psychometrics, and Economics produced Econometrics.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1257/0002828041464669

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 275

Metadata

Authors
Granger, C. W. J.
Venue
American Economic Review
Published
2004-05-01
Volume
94
Issue
3
Pages
421-425
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2145688713
Cited by
275
References
0
FWCI
14.07
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: Time Series Analysis, Cointegration, and Applications. https://app.cochat.ai/papers/10.1257/0002828041464669
The paper
Granger, C. W. J. (2004). Time Series Analysis, Cointegration, and Applications. American Economic Review. https://doi.org/10.1257/0002828041464669

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.