Are Euro-Area expectations about recession phases effective to anticipate consequences of economic crises?
Marco Antonio Rubilar-González and
Gabriel Pino
SERIEs: Journal of the Spanish Economic Association, 2018, vol. 9, issue 2, No 1, 161 pages
Abstract:
Abstract By using the Economic Sentiment Indicator and Autoregressive Markov Switching models, this paper provides an effective tool to identify and characterize expectations of business cycle phases for Germany, Spain, the Euro Area, and the European Union. This information is useful for policy makers who can focus their efforts on strengthening economies identified as more sensitive to international disturbances. Our results also reveal a lack of synchronization of the expectations across the Euro-Area. This also takes importance for policy implications given common public policies can have undesired impacts across the different Euro-Area economies.
Keywords: Business cycle phases; Expectations; Economic Sentiment Indicator (search for similar items in EconPapers)
JEL-codes: C22 D84 E32 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13209-017-0170-0 Abstract (text/html)
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:spr:series:v:9:y:2018:i:2:d:10.1007_s13209-017-0170-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13209
DOI: 10.1007/s13209-017-0170-0
Access Statistics for this article
SERIEs: Journal of the Spanish Economic Association is currently edited by Nezih Guner
More articles in SERIEs: Journal of the Spanish Economic Association from Springer, Spanish Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().