The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identifying the new Keynesian Phillips curve
Open accessAbstract
Phillips curves are central to discussions of inflation dynamics and monetary policy. The hybrid new Keynesian Phillips curve (NKPC) describes how past inflation, expected future inflation, and a measure of real aggregate demand drive the current inflation rate. This paper studies the (potential) weak identification of the NKPC under Generalized Method of Moments and traces this syndrome to a lack of higher‐order dynamics in exogenous variables. We employ analytic methods to understand the economics of the NKPC identification problem in the canonical three‐equation, new Keynesian model. We revisit the empirical evidence for the USA, the UK, and Canada by constructing tests and confidence intervals based on the Anderson and Rubin (1949) statistic, which is robust to weak identification. We also apply the Guggenberger and Smith (2008) LM test to the underlying NKPC pricing parameters. Both tests yield little evidence of forward‐looking inflation dynamics. Copyright © 2008 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
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy
Christiano, L. J., Eichenbaum, M., & Evans, C. L. (2005) · Journal of Political Economy · doi:10.1086/426038 · Cited by 6,238
Cited by
(2011) · Econometrica · doi:10.3982/ecta5771 · Cited by 2,096
Metadata
- Authors
- Nason, J. M., & Smith, G. W.
- Venue
- Journal of Applied Econometrics
- Publisher
- Wiley
- Published
- 2008-08
- Volume
- 23
- Issue
- 5
- Pages
- 525-551
- ISSN
- 0883-7252 (ISSN-L)
- 1099-1255
- OpenAlex
- W3123363159
- Cited by
- 201
- References
- 2
- FWCI
- 31.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Identifying the new Keynesian Phillips curve. https://app.cochat.ai/papers/10.1002/jae.1011
- The paper
- Nason, J. M., & Smith, G. W. (2008). Identifying the new Keynesian Phillips curve. Journal of Applied Econometrics. https://doi.org/10.1002/jae.1011
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.
