Markov-Switching Common Dynamic Factor Model with Mixed-Frequency Data

Konstantin Kholodilin ()

No 2001020, LIDAM Discussion Papers IRES from Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES)

Abstract: In this paper, we consider a coincident economic indicator model with regime-switching dynamics and with the time series observed at different frequencies, for instance, at monthly and quarterly frequencies. Until now the only solution was to drop the lower frequency series and to estimate the model based only on the higher frequency series. This approach leads to the significant information losses. We propose an approach allowing to overcome this problem and to estimate a nonlinear dynamic common factor with the missing observations taking advantage of all the information available.

Keywords: Common dynamic factor; Markov switching; Mixed frequency data; Kalman filter; Composite economic indicator (search for similar items in EconPapers)
JEL-codes: C5 E3 (search for similar items in EconPapers)
Pages: 13
Date: 2001-09-01
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ctl:louvir:2001020

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