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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.
View Article and Find Full Text PDFRobustifying Bayesian nonparametric mixtures for count data.
Biometrics
March 2017
Department of Decision Sciences, BIDSA and IGIER, Bocconi University, Milan, Italy.
Our motivating application stems from surveys of natural populations and is characterized by large spatial heterogeneity in the counts, which makes parametric approaches to modeling local animal abundance too restrictive. We adopt a Bayesian nonparametric approach based on mixture models and innovate with respect to popular Dirichlet process mixture of Poisson kernels by increasing the model flexibility at the level both of the kernel and the nonparametric mixing measure. This allows to derive accurate and robust estimates of the distribution of local animal abundance and of the corresponding clusters.
View Article and Find Full Text PDFThe need for scientists and judges to work together: regarding a new European network.
Health Qual Life Outcomes
July 2003
Judge, Court of Milan, Via Freguglia 1, 20121 Milano, Italy.
Is it always true to say that science is, by definition, universal whilst laws and the courts which apply them are a classic state and national expression? Yes and no. In recent years a new scenario has opened all over the world. Courts intervene more and more in disputes on matters related to scientific procedures in the biological field.
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