Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5059534 | Economics Letters | 2013 | 5 Pages |
Abstract
This paper extends the Markov-switching vector autoregressive models to accommodate both the typical lack of synchronicity that characterizes the real-time daily flow of macroeconomic information and economic indicators sampled at different frequencies. The results of the empirical application suggest that the model is able to capture the features of the NBER business cycle chronology very accurately.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Maximo Camacho,