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Fourier AR Model/Evidence
Method evidence record

Fourier AR Model

The Fourier AR model extends the standard autoregressive specification by adding trigonometric (sine and cosine) terms to the deterministic component. This allows the model to capture smooth, gradual shifts in the mean or trend of a time series without requiring the researcher to locate or count structural break points explicitly.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Fourier-Augmented Autoregressive Model
Taxonomic method record · regression-model / econometrics
  • Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. · DOI 10.1111/j.1468-0084.2011.00662.x
  • Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381–409. · DOI 10.1111/j.1467-9892.2006.00478.x
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketARIMA modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketARMA modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAutoregressive modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFourier ARDL Bounds Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFourier VECMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural Break AR Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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