Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Most poverty studies build on measures that take account of recurring incomes from sources such as labour or social transfers. However, other financial resources such as savings and assets also affect living standards, often in very significant ways. Previous studies that have sought to incorporate assets into poverty measures suggest that (1) poverty estimates including wealth are considerably lower than income-based measures; (2) poverty rates of the elderly are more affected than those of the nonelderly and (3) poverty rates are especially affected by the household's main residence. This paper assesses the sensitivity of these conclusions to various plausible alternative assumptions, such as the poverty line calculation, the types of assets included in the wealth concept and choices with respect to the equivalence scale. Moreover, we check whether the impact of alternative assumptions is consistent across age and institutional settings. To that effect we compare Belgium and Germany, two countries with similar living standards and income poverty rates, but very different levels and distributions of wealth. Using data from the HFCS we show that accounting for wealth affects the incidence and age structure of poverty in a very substantial way. Country comparisons are also affected in very substantial ways.
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D I S C U S S I O N P A P E R S E R I E S Estimation of JointJEL Classification: I32
This paper assesses the impact on household incomes of the COVID‐19 pandemic and governments’ policy responses in April 2020 in four large and severely hit EU countries: Belgium, Italy, Spain and the UK. We provide comparative evidence on the level of relative and absolute welfare resilience at the onset of the pandemic, by creating counterfactual scenarios using the European tax‐benefit model EUROMOD combined with COVID‐19‐related household surveys and timely labor market data. We find that income poverty increased in all countries due to the pandemic while inequality remained broadly the same. Differences in the impact of policies across countries arose from four main sources: the asymmetric dimension of the shock by country, the different protection offered by each tax‐benefit system, the diverse design of discretionary measures and differences in the household level circumstances and living arrangements of individuals at risk of income loss in each country.
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