Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Differences and Similarities in Patterns of Society Ageing in the European Union

By Denisa Kočanová, Viliam Kováč, Jan Buleca

Population ageing is a demographic problem, which emphasises the need to be interested in the lives of the most vulnerable group–the elderly. The paper investigates the ageing process and similarity of selected countries in the European Union. The EU Member States were assessed and assigned to appropriate clusters according to several indicators related to the areas that affect the lives of the elderlies, namely health status, labour market conditions, and financial security. We focused on the age group 55+ years as it is a disadvantaged age group in a job application. The data from European Union Statistics on Income and Living Conditions (EU-SILC), Labour Force Survey (EU-LFS), and European System of integrated Social PROtection Statistics (ESSPROS) were used. The quantitative approaches were applied in the cluster analysis and followed by the panel data regression analysis. The dendrograms visualised the three clusters representing the similarity of the ageing patterns among the explored countries. The heat maps were created to prove the similarity between each couple of the observed countries. Results could be used as a valuable resource to government and national representatives. It can help identify the objectionable determinants and implement appropriate measures to improve the situation of the elderly.

Source: SSRN

327 views