SHARE-COVID 19 Project
The COVID-19 pandemic and the epidemic control measures have affected the well-being of European citizens in terms of economics, social relationships, and health: Europe has experienced the largest recession since WWII, social contacts were interrupted, and people avoided seeking medical treatment in fear of infection. The overall aim of the SHARE-COVID19 project funded by the European Commission (grant number 101015924) is to understand these non-intended consequences of the epidemic control measures on the individual level in order to devise improved health, economic and social policies at both EU and national level.
Our first results show that
- respondents 70+, with medium or lower education, and those who were hospitalised have had a high risk of post-COVID-19 conditions,
- remote medical care can play an important role in maintaining healthcare access for older adults,
- social distancing was associated with a higher probability of sleeping problems,
- short-time employment aid was successful in the short run but elevated the unemployment risk in the longer run,
- postponed or denied healthcare due to pandemic mostly affected lower income individuals with worse health,
- excess mortality in nursing homes is associated with how nursing homes are designed and organised.
There are many more first results that are summarized in our „First Results Book“ that was published by de Gruyter and is available open access:
https://www.degruyter.com/document/doi/10.1515/9783111135908/html
In 32 chapters, the book presents finding, how the pandemic affected
- the quality of health care,
- health and health behaviors,
- employment and labor markets,
- income and economic situation,
- social and geographic patterns,
- housing and living arrangements.
The power of the project is rooted in the large number of cooperation partners (17 participants) in 12 countries:
and the unique data on which the project rests:
- waves 1-8 of SHARE, the Survey of Health, Ageing and Retirement in Europe, provides a longitudinal picture of health, social and economic conditions before the pandemic,
- two telephone interviews in June 2020 and June 2021 deliver the health, social and economic situation at the very beginning and at the peak of the pandemic,
- wave 9 in 2023, when the pandemic had lost its main bite thanks to widespread vaccination, shows the long-term effects of the pandemic.
The project is organised in ten work packages.
Deliverables
The key deliverables are working papers of the analytical WPs 2-8 in four stages:
- descriptive analyses based on the first round of the SHARE Corona Survey,
- refined analyses of the first round of the SHARE Corona Survey,
- refined analyses of both rounds of the SHARE Corona Survey plus Wave 9 of SHARE,
- policy recommendations.
The deliverables associated with each analytical WP 2-8 and each stage – as far as completed – can be downloaded here:
WP2: Quality of healthcare | WP3: Health and health behaviours | WP4: Labour market implications | WP5: Impact on income and inequality | WP6: Social relationships | WP7: Geographic and social patterns | WP8: Housing and living arrangements | |
Descriptive analyses based on the first round of the SHARE Corona Survey | D2.2 | D3.2 | D4.2 | D5.2 | D6.2 | D7.2 | D8.2 |
Refined analyses of the first round of the SHARE Corona Survey | D2.3 | D3.3 | D4.3 | D5.3 | D6.3 | D7.3 | D8.3 |
Refined analyses of both rounds of the SHARE Corona Survey plus Wave 9 of SHARE | D2.4 | D3.4 | D4.4 | D5.4 | D6.4 | D7.4 | D8.4 |
Policy Recommendations | D2.5 | D3.5 | D4.5 | D5.5 | D6.5 | D7.5 | D8.5 |
Policy recommendations
Key output of this project are our policy recommendations that are based on the scientific analyses, which the project team has made during the project duration. These analyses make heavy use of the SHARE data that has been collected before, during and after the pandemic. The policy recommendations are structured broadly by healthcare, economic and social issues and can be downloaded here.
Each recommendation is backed up briefly by evidence and SHARE-based analyses. Further recommendations and more detailed back-up analyses are part of the deliverables D2.5-D8.5 (“Policy recommendations”) and D2.4-D8.4 (“Refined analyses”).
An overarching recommendation is to have data infrastructures in place before a new crisis comes up. The existence of SHARE since 2004 and the experiences gained in the financial crisis 2008 which data to collect in times of crisis made it possible to observe changes in the health, economic and social environment of our respondents and thus quickly detect trouble spots and target interventions based on available data.
Since SHARE is a survey of Europeans aged 50 and older, the recommendations focus on this age group, which was most heavily impacted by the illness itself, especially in old-age homes and through a significant excess mortality. The older individuals in this age group also suffered most from the epidemic control measures, especially when dependent on help by family, friends and professionals.
While much attention has been devoted here and elsewhere on this older population, we want to stress that younger individuals, especially schoolchildren, may have ended up carrying the largest burden of the pandemic. The decline of PISA-type indicators of educational performance in the aftermath of the pandemic may have long-term implications for the life course of the affected young individuals and the productivity of the society as a whole. We are well aware that the concerns of the young generation are not reflected in our research on individuals aged 50 and older. They are the object of parallel projects in the EU Commission’s call „Innovative and rapid health-related approaches to respond to COVID-19 and to deliver quick results for society for a higher level of preparedness of health systems (SC1-PHE-CORONAVIRUS-2020-2)“ under the topic of “behavioural, social and economic impacts of the outbreak responses”.
We are also aware that our recommendations profit from hindsight, and that every new epidemic will start with great uncertainty. Striving for perfectness is not the aim of these recommendations as the perfect is the enemy of the good. Rather, we aim for robustness in being prepared. Since the transmission mechanisms of a new epidemic are likely to be as unknown in its initial phase as it was with the new SARS-CoV-19 virus, preparing ahead of time for this initial phase is a key recommendation in all three domains: healthcare, economics and social relationships.
MEA’s contribution to the project
MEA’s focus within the SHARE-COVID19 project is on labor market effects. Many people were affected by the reduction in working hours, also known as short-time work (STW). To minimize the negative effects on their incomes, many governments compensated earnings losses by short-time employment aid schemes (STEA). Examples are the wage subsidies in the Netherlands or “Kurzarbeitergeld” in Germany. Although the countries differ widely in coverage and generosity, STEA guaranteed a minimum income regardless of hours worked. MEA studies to which extent the working population was actually helped by STEA. A comparative view of SHARE countries is taken and the differences in policy outcomes are analyzed cross-nationally. The research objectives encompass the following questions:
- Who was affected by shorter working hours during the COVID-19 pandemic? Specifically, were these vulnerable people, e.g., due to a previous history of unemployment history or due to low incomes?
- Did they receive support? Specifically, did they receive short-time employment aid from their governments? Did this support help them to maintain their living standards?
While most economists agree STEA is helpful in the short run, some warn that it may have a negative impact in the longer run. The problem arises because STEA could prohibit the natural fluctuation of jobs whereby companies which are no longer profitable, regardless of the economic downturn, terminate jobs. Therefore, subsidizing workers at such companies (in the extreme: “zombie companies”) in effect temporarily prolongs employment, but once STEA ends, the company will eventually have to release employees. Taking this into consideration, a second set of questions evaluates the potential negative side effects of STEA:
- Do we observe negative side effects of STEA? Specifically, do we observe higher unemployment in the longer run among people who received STEA?
- If we observe such negative long run outcomes, can we attribute them to STEA or are they due to the fact that jobs and workers eligible for STEA may have been a less productive selection in the first place?