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FORECASTING INFLATION USING DYNAMIC MODEL AVERAGING*

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Koop, Gary, Korobilis, Dimitris·2012·International Economic Review

Abstract

We forecast quarterly US inflation based on the generalized Phillips curve using econometric methods that incorporate dynamic model averaging. These methods not only allow for coefficients to change over time, but also allow for the entire forecasting model to change over time. We find that dynamic model averaging leads to substantial forecasting improvements over simple benchmark regressions and more sophisticated approaches such as those using time varying coefficient models. We also provide evidence on which sets of predictors are relevant for forecasting in each period.

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Crossref · 10.1111/j.1468-2354.2012.00704.x

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Metadata

Authors
Koop, G., & Korobilis, D.
Venue
International Economic Review
Publisher
Wiley
Published
2012-07-25
Volume
53
Issue
3
Pages
867-886
ISSN
  • 0020-6598 (ISSN-L)
  • 1468-2354
OpenAlex
W3123039549
Cited by
390
References
0
FWCI
27.46
Type
journal article
Language
en
Open access
bronze

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Koop, G., & Korobilis, D. (2012). FORECASTING INFLATION USING DYNAMIC MODEL AVERAGING*. International Economic Review. https://doi.org/10.1111/j.1468-2354.2012.00704.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.