Project website www.agewell.eu
Short introduction (aim, goal of project, when did this project start?)
The AWA project focuses on the measurement and analysis of wellbeing from a life course perspective. A comprehensive range of wellbeing measures is used for this purpose, including measures of the economic situation of people, exposure to stress and time pressure as well as measures of happiness and health status. The aim of the project is to identify the specific needs and wants at each life stage. With this knowledge, we gain a better understanding of the way societal institutions can adapt to be sustainable under demographic change and at the same time serve the people in the best possible way.
The project started on 01.03.2017.
What kind of impact on the society is expected?
The project contributes to the discussions how intergenerational transfers and the welfare system can be adapted to ageing populations. While the current discussion focuses on the sustainability of the current system, AWA focuses on how the transfer system should be designed to serve the people in the best possible way.
Which phase of your project are you at the moment?
We started to work on WP1, the economic wellbeing indicators. Our work focuses so far on disposable income, consumption and subjective economic wellbeing.
We also acquired micro-data from the latest Italian Time Use Survey (2013/4) and started to work on WP2 by analyzing the new information contained on the subjective perception of the use of time. Additionally, our current research focuses on understanding the implications of the recent economic crisis on time structures of men and women over the lifecourse.
We furthermore have started to explore particular issues such as loneliness of the elderly, the impact of the diversities in activities and the well-being in nursing homes.
Did you already get any preliminary results?
We carried out a first, descriptive analysis of economic wellbeing indicators over the life course for 28 European countries using EU-SILC data from 2015. Among the indicators are disposable household income and an indicator of subjective economic wellbeing that is based on the question how easy it is for the household to make ends meet. Our preliminary results are based on an exploratory data analysis as well as a basic ordered logit regression analysis.
We also built NTTA for Italy for three years before, during and after the begin of the economic crisis (2002, 2008 and 2013). We carried out preliminary analysis of the age and gender specific use of time in the pre-recessionary and recessionary period, with a particular focus on leisure inequality.
We have furthermore provided a systematic review and new analysis of the well-known U-shape between subjective well-being and age.
Could you summarize these results?
Subjective economic wellbeing is strongly related with the overall income level in a country. However, there are large cross-country differences not only in the level of subjective economic wellbeing, but also in the age-pattern. While in some countries economic wellbeing increases in old age, in other countries we find exactly the opposite. To investigate this pattern further we plan to implement a multilevel regression model.
We have furthermore found that partnership plays a crucial role in well-being in mid-age.
Are the results in line with your a priori expectation?
We have hypothesized that objective and subjective economic wellbeing would show different pattern over the life course as well as across countries. Hence, the results are in line with our expectations.
Did your project receive some external feedback (from possible stakeholder, national journals, etc…)?
We have not yet received external feedback, but we had already our first internal workshop in Vienna in September where all groups (the Austrian, French and Italian team) have presented their preliminary results and we discussed further steps and collaborations between the three teams.
What are the phases planned for the immediate future?
Generation and comparison of economic wellbeing measures.
Based on Italian microdata, we aim at decomposing changes that occurred in the age and gender specific use of time over the 2002-2013 period to isolate the effect of the economic crisis.
We furthermore will pursue the investigations described in 3.