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A 14-Variable Mixed-Frequency VAR Model
Abstract: This paper describes recent modifications to the mixed-frequency model vector autoregression (MF-VAR) constructed by Schorfheide and Song (2012). The changes to the model are restricted solely to the set of variables included in the model; all other aspects of the model remain unchanged. Forecast evaluations are conducted to gauge the accuracy of the revised model to standard benchmarks and the original model.
Keywords: Bayesian Vector Autoregression; Forecasting;
JEL Classification: C11; C53; C32;
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Provider: Federal Reserve Bank of Minneapolis
Part of Series: Staff Report
Publication Date: 2013-12-19
Number: 493
Pages: 19 pages