Multivariate Markov switching with weighted regime determination

Multivariate Markov switching with weighted regime determination

About
"This article deals with using panel data to infer regime changes that are common to all of the cross section. The methods presented here apply to Markov switching vector autoregressions, dynamic factor models with Markov switching and other multivariate Markov switching models. The key feature we seek to add to these models is to permit cross-sectional units to have different weights in the calculation of regime probabilities. We apply our approach to estimating a business cycle chronology for the 50 U.S. States and the Euro area, and we compare results between country-specific weights and the usual case of equal weights. The model with weighted regime determination suggests that Europe experienced a recession in 2002-03, whereas the usual model with equal weights does not"--Federal Reserve Bank of St. Louis web site.

Discuss Multivariate Markov switching with weighted regime determination with other readers

Join or start a book club for Multivariate Markov switching with weighted regime determination on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for Multivariate Markov switching with weighted regime determination?

Sign up free on Readfeed, then browse public clubs or start your own club with Multivariate Markov switching with weighted regime determination as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Multivariate Markov switching with weighted regime determination with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Multivariate Markov switching with weighted regime determination with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.