Markov-switching dynamic factor models in real time
We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as ragged edges and mixed frequencies. We examine the theoretical benefits of this extension and corroborate the results through several Monte Carlo simulations. Finally, we assess its empirical reliability to compute real-time inferences of the US business cycle.
When requesting a correction, please mention this item's handle: RePEc:bde:wpaper:1205. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mar�a Beiro. Electronic Dissemination of Information Unit. Research Department. Banco de Espa�a)
If references are entirely missing, you can add them using this form.