Inflation Perceptions and Expectations During the Pandemic: A Model Based Approach
Marcella Corduas () and
Domenico Piccolo ()
Additional contact information
Marcella Corduas: University of Naples Federico II, Department of Political Sciences
Domenico Piccolo: University of Naples Federico II, Department of Political Sciences
A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2022, pp 175-180 from Springer
Abstract:
Abstract This article investigates how consumers’ perceptions and expectations about inflation evolved during the first twelve months after the pandemic broke out in Italy. The analysis is based on data from the European business and consumer qualitative surveys and exploits an innovative dynamic model for ordinal data based on a mixture distribution with time varying parameters.
Keywords: Inflation expectations; Inflation perceptions; CUB models; Ordinal data (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:sprchp:978-3-030-99638-3_29
Ordering information: This item can be ordered from
http://www.springer.com/9783030996383
DOI: 10.1007/978-3-030-99638-3_29
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().