EconPapers    
Economics at your fingertips  
 

Credit cycles and labor market slacks: predictive evidence from Markov-switching models

German Lopez Buenache, Mihály Borsi () and Alfonso Rosa-García ()

MPRA Paper from University Library of Munich, Germany

Abstract: We model unemployment and credit cycle dynamics as a Markov-switching process with two states to identify labor market slacks i.e., periods of unemployment above its natural rate. Our results for the US economy between 1955 and 2015 show that credit contractions improve the identification of high unemployment states. Moreover, we find that credit cycles have a sizable out-of-sample predictive power on labor market slacks. This implies that the evolution of credit can be used as a leading indicator for economic policies.

Keywords: credit cycle; unemployment; forecast; Markov-switching (search for similar items in EconPapers)
JEL-codes: C32 E24 E32 E51 (search for similar items in EconPapers)
Date: 2020-05-13
New Economics Papers: this item is included in nep-mac, nep-mon and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/100362/1/MPRA_paper_100362.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/100523/1/MPRA_paper_100523.pdf revised version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:100362

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2021-02-27
Handle: RePEc:pra:mprapa:100362