16 citations · 26 across the 14 of their papers we have counts for
5 papers · 1 filter
From controlled to undisciplined data: estimating causal effects in the era of data science using a potential outcome framework
Francesca Dominici, Falco J. Bargagli-Stoffi, Fabrizia Mealli
This paper discusses the fundamental principles of causal inference - the area of statistics that estimates the effect of specific occurrences, treatments, interventions, and expos…
Bipartite Interference and Air Pollution Transport: Estimating Health Effects of Power Plant Interventions
Corwin Zigler, Vera Liu, Fabrizia Mealli +1
Evaluating air quality interventions is confronted with the challenge of interference since interventions at a particular pollution source likely impact air quality and health at d…
Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance
Silvia Noirjean, Marco Mariani, Alessandra Mattei +1
A key element in the education of youths is their sensitization to historical and artistic heritage. We analyze a field experiment conducted in Florence (Italy) to assess how appro…
Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates
C. Tortù, I. Crimaldi, F. Mealli +1
Policy evaluation studies, which intend to assess the effect of an intervention, face some statistical challenges: in real-world settings treatments are not randomly assigned and t…
Assessing causal effects in the presence of treatment switching through principal stratification
Alessandra Mattei, Peng Ding, Veronica Ballerini +1
Clinical trials often allow patients in the control arm to switch to the treatment arm if their physical conditions are worse than certain tolerance levels. For instance, treatment…