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Time-varying parameter AR model/Evidence
Method evidence record

Time-varying parameter AR model

The Time-Varying Parameter Autoregressive (TVP-AR) model extends the classical AR model by allowing its autoregressive coefficients to drift over time, typically as a random walk. Cast as a state-space system, the model captures gradual structural change in the dynamics of a univariate time series without imposing a fixed break date.

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

Time-Varying Parameter Autoregressive Model
Taxonomic method record · regression-model / econometrics
  • Cogley, T., & Sargent, T. J. (2005). Drifts and volatilities: Monetary policies and outcomes in the post WWII US. Review of Economic Dynamics, 8(2), 262-302. · DOI 10.1016/j.red.2004.10.009
  • Kim, C.-J., & Nelson, C. R. (1999). State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications. MIT Press. · ISBN 978-0262112383
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Related methods

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Taxonomic bucketARIMA modelmachine-suggested · Relational suggestion, not evidence.See alsoKalman Filtermachine-suggested · Relational suggestion, not evidence.Same method familyState Space Modelmachine-suggested · Relational suggestion, not evidence.Same method familyStochastic Volatility Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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