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Markov-Switching Model/Evidence
Method evidence record

Markov-Switching Model

The Markov regime-switching model lets the parameters of a time series change probabilistically across hidden regimes governed by a Markov chain. Introduced by Hamilton (1989) and developed further by Kim and Nelson (1999), it automatically detects business-cycle phases such as expansions and contractions.

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Source record

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

Markov Regime-Switching Model (MS-AR / MS-VAR)
Taxonomic method record · regression-model / econometrics
  • Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. · DOI 10.2307/1912559
  • 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

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

Same method familyARIMAmachine-suggested · Relational suggestion, not evidence.Same method familyEGARCHmachine-suggested · Relational suggestion, not evidence.Same method familyGARCHmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyVector Autoregressionmachine-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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