Proceedings of the 22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 2019)

Time series analysis of the poverty rate for low-educated people in the Czech Republic, Slovakia and Poland over the period 2005 – 2017

Authors
Dagmar Blatná
Corresponding Author
Dagmar Blatná
Available Online October 2019.
DOI
https://doi.org/10.2991/amse-19.2019.13How to use a DOI?
Keywords
at-risk-of-poverty rate, education level, time series regression analysis, stationarity, non-stationarity
Abstract
The at-risk-of-poverty rate indicates the proportion of people with disposable income under the poverty threshold. The aim of the present study is to examine the development of the poverty rate indicator in the Czech Republic, Slovakia and Poland over the period 2005 – 2017 in the group of people with no better than lower secondary education. A comparison of the results shows that the lowest poverty rate throughout the period in question is recorded in the Czech Republic. The paper analyses multivariate stationary and non-stationary time series and estimates a regression relationship between the poverty rate and some relevant macroeconomic factors.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 2019)
Part of series
Atlantis Studies in Uncertainty Modelling
Publication Date
October 2019
ISBN
978-94-6252-804-8
ISSN
2589-6644
DOI
https://doi.org/10.2991/amse-19.2019.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dagmar Blatná
PY  - 2019/10
DA  - 2019/10
TI  - Time series analysis of the poverty rate for low-educated people in the Czech Republic, Slovakia and Poland over the period 2005 – 2017
BT  - 22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 2019)
PB  - Atlantis Press
SP  - 120
EP  - 129
SN  - 2589-6644
UR  - https://doi.org/10.2991/amse-19.2019.13
DO  - https://doi.org/10.2991/amse-19.2019.13
ID  - Blatná2019/10
ER  -