*Following extensive scientific evidence on the adverse consequences of ambient air pollution on health, short-term air control regulations have spread worldwide. Yet, their effectiveness is context-dependent and academic findings are ambiguous. In this paper, we develop a novel approach to assess the heterogeneous health impacts of pollution peaks and the associated short-term policies. We construct a synthetic control group to estimate Average Treatment Effects on the Treated (ATT) for each peak, one by one, and conduct a meta-analysis on the pooled results to study how their impact varies depending on their characteristics. We apply this method to evaluate the 2011 change in the PM10threshold value triggering Air Quality Alerts (AQA) programs in Paris on distinct causes of premature mortality. We exploit daily data on pollution, weather and health in 18 French urban areas. This method can study the heterogeneity of any extreme weather events, help understand the conditions for efficient counter-measures and thus contribute to fine-tuning policies.

**In this paper, I empirically explore the relationship between support for state intervention and individuals' actual and perceived rank in the income distribution. For this purpose, I use an Uruguayan panel data set that documents the opinions of individuals and their perceived income rank. This allows for tackling a central question about the influence of perceptions of relative income in supporting state intervention in a dynamic setting. Additionally, I extend my analysis by exploiting the possible differences in the relationship between perceived income rank and support for state intervention between high, medium, and low-income individuals. The empirical analysis suggests that there are dissimilarities in how income rank perceptions relate to support for state intervention among these groups. To conclude, political economy implications of the results are discussed.