Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data (JAE 2010)

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Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Sylvia Kaufmann Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data JAE 2010 2 309–344 C23, E32 Bayesian clustering, Parameter heterogeneity, Latent dynamic structure, Markov switching, Panel data, Turning points

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
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Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement

References

DOI: 10.1002/jae.1076 IDEAS: a/jae/japmet/v25y2010i2p309-344.html EconPapers: RePEc:jae:japmet:v:25:y:2010:i:2:p:309-344


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