In this paper we first present an example of how Composite Indicators naturally emerge in a context where country performance is being benchmarked, we discuss some salient...
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We use European Social Survey and Labour Force Survey data from 2002 to 2012 to estimate the causal effect of years of education on European natives׳ opinion toward...
In this paper, we explore one mechanism that may underlie the negative relationship between social capital and smoking: whether social capital strengthens the effect of anti-smoking regulations...
The analysis of the relationship between social capital and smoking, and more generally between social capital and health-related behaviors, has been so far the only attempt of studying...
The COVID-19 pandemic has been a major stress test for the agri-food system. While most research has analysed the impact of the pandemic on mainstream food systems, this article...
Our society is changing so fast we need to know as soon as possible when things go wrong (Euroabstracts, 2003). This is where composite indicators enter...
Sensitivity analysis provides information on the relative importance of model input parameters and assumptions. It is distinct from uncertainty analysis, which addresses the question ‘How uncertain is the prediction?’...
Dynamical earth and environmental systems models are typically computationally intensive and highly parameterized with many uncertain parameters. Together, these characteristics severely limit the applicability...
Policy makers dealing with composite indicators are often confronted with the issues of the robustness of composite indicators and of the reliability of the concluded policy messages. In the Communication from the Commission COM (2000)...
Sensitivity analysis is an essential tool in the development of robust models for engineering, physical sciences, economics and policy-making, but typically requires running the model a large number of times in order...