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Nonlinear Fixed Effects Model/Evidence
Method evidence record

Nonlinear Fixed Effects Model

The nonlinear fixed effects model extends fixed effects panel estimation to outcomes governed by nonlinear response functions — such as binary, count, or censored outcomes — while absorbing unobserved individual heterogeneity through unit-specific intercepts. Key special cases include conditional logit for binary outcomes and Poisson fixed effects for count data.

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Source record

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

Nonlinear Fixed Effects Panel Data Model
Taxonomic method record · regression-model / econometrics
  • Chamberlain, G. (1984). Panel data. In Z. Griliches & M. D. Intriligator (Eds.), Handbook of Econometrics (Vol. 2, pp. 1247–1318). Elsevier. · URL
  • Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. · ISBN 978-0262232586
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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 bucketDynamic Panel Data Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear Random Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Fixed 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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