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Fourier Random Effects Model/Evidence
Method evidence record

Fourier Random Effects Model

The Fourier Random Effects Model extends the standard random effects panel estimator by incorporating trigonometric (Fourier) terms to approximate smooth, gradual structural change in time trends or intercepts. It retains the GLS efficiency advantages of the random effects estimator while allowing parameters to shift continuously over time without requiring knowledge of exact break dates.

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Source record

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

Fourier Flexible Form Random Effects Panel Model
Taxonomic method record · regression-model / econometrics
  • Becker, R., Enders, W., & Lee, J. (2006). A stationary 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
  • Enders, W., & Lee, J. (2012). The flexible Fourier form and Dickey-Fuller type unit root tests. Economics Letters, 117(1), 196-199. · DOI 10.1016/j.econlet.2012.04.081
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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 bucketFourier Fixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFourier Panel Data Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Random Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural Break Random Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTime-varying parameter random effects 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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