This analysis makes use of economic forecasts for 2020 issued by the European Commission in Autumn 2019 and Spring 2020, and of a counterfactual under a no-policy change assumption, to analyse the impact of the COVID-19 crisis on EU households´ income. Additionally, our analysis assesses the cushioning effect of discretionary fiscal policy measures taken by the EU Member States. We find that the COVID-19 pandemic is likely to affect significantly households’ disposable income in the EU, with lower income households being more severely hit. However, our results show that due to policy intervention, the impact of the crisis is expected to be similar to the one experienced during the 2008–2009 financial crisis. In detail, our results indicate that discretionary fiscal policy measures will play a significant cushioning role, reducing the size of the income loss (from −9.3% to −4.3% for the average equivalised disposable income), its regressivity and mitigating the poverty impact of the pandemic. We conclude that policy interventions are therefore instrumental in cushioning against the impact of the crisis on inequality and poverty.
SUMMARY
This paper investigates the determinants of public‐sector efficiency, in particular the role of fiscal decentralization and fiscal rules. For 23 European countries over the period from 1995 to 2015, we construct a measure of public‐sector performance consisting of nine distinct indices for each area of public policy, such as administration, health education, economic performance, security and infrastructure.
We use several efficiency techniques, e.g., free disposal hull and order‐m, and investigate input‐and output‐oriented efficiency in the public sector. We analyse in depth the impact of fiscal decentralization and fiscal rules on public‐sector efficiency. We conclude that, whereas decentralization fosters efficiency, fiscal rules have no effect. Moreover, fiscal rules, when combined with decentralization, may harm efficiency, which is consistent with the ratchet effect.
In this paper, we investigate the impact of the COVID-19 pandemic on German household income using a micro-level approach. We combine a microsimulation model with labour market transition techniques to simulate the COVID-19 shock on the German labour market. We find the consequences of the labour market shock to be highly regressive with a strong impact on the poorest households. However, this effect is nearly entirely offset by automatic stabilisers and discretionary policy measures. We explore the cushioning effect of these policies in detail, showing that short-time working schemes and especially the one-off payments for children are effective in cushioning the income loss of the poor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.