↓ Skip to main content

PLOS

The Relationship between Inflation and Inflation Uncertainty. Empirical Evidence for the Newest EU Countries

Overview of attention for article published in PLOS ONE, March 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
Title
The Relationship between Inflation and Inflation Uncertainty. Empirical Evidence for the Newest EU Countries
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0091164
Pubmed ID
Authors

Daniela Viorica, Danut Jemna, Carmen Pintilescu, Mircea Asandului

Abstract

The objective of this paper is to verify the hypotheses presented in the literature on the causal relationship between inflation and its uncertainty, for the newest EU countries. To ensure the robustness of the results, in the study four models for inflation uncertainty are estimated in parallel: ARCH (1), GARCH (1,1), EGARCH (1,1,1) and PARCH (1,1,1). The Granger method is used to test the causality between two variables. The working hypothesis is that groups of countries with a similar political and economic background in 1990 and are likely to be characterized by the same causal relationship between inflation and inflation uncertainty. Empirical results partially confirm this hypothesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Lecturer 2 9%
Student > Master 2 9%
Researcher 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Economics, Econometrics and Finance 9 39%
Business, Management and Accounting 4 17%
Social Sciences 1 4%
Unknown 9 39%