51 citations · 71 across the 13 of their papers we have counts for
13 papers
Regression-based approach for natural direct and indirect relative risk in case of multiple mediators
Monia Lupparelli, Arianna Nuti, Giovanni Maria Marchetti +1
Mediation analysis investigates whether part of the treatment effect is channelled through one or more mediators along the causal pathway between the treatment and the primary outc…
Bayesian principal stratification with longitudinal data and truncation by death
Giulio Grossi, Marco Mariani, Alessandra Mattei +1
In many causal studies, outcomes are censored by death, in the sense that they are neither observed nor defined for units who die. In such studies, the focus is usually on the stra…
Principal stratification with continuous treatments and continuous post-treatment variables
Joseph Antonelli, Minxuan Wu, Fabrizia Mealli +2
Principal stratification (PS) is a commonly used approach for understanding the mechanisms through which a treatment affects an outcome. The goal of this work is to extend the PS f…
Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
Laura Forastiere, Alessandra Mattei, Julia M. Pescarini +2
The Brazil Bolsa Familia (BF) program is a conditional cash transfer program aimed to reduce short-term poverty by direct cash transfers and to fight long-term poverty by increasin…
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…
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach
Giulio Grossi, Marco Mariani, Alessandra Mattei +2
In cities, the creation of public transport infrastructure such as light rails can cause changes on a very detailed spatial scale, with different stories unfolding next to each oth…
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…
A novel quantile-based decomposition of the indirect effect in mediation analysis with an application to infant mortality in the US population
Marco Geraci, Alessandra Mattei
In mediation analysis, the effect of an exposure (or treatment) on an outcome variable is decomposed into two components: a direct effect, which pertains to an immediate influence…
Causal inference for binary non-independent outcomes
Monia Lupparelli, Alessandra Mattei
Causal inference on multiple non-independent outcomes raises serious challenges, because multivariate techniques that properly account for the outcome's dependence structure need t…
Potential outcome approach to causal inference in assessing the short term impact of air pollution on mortality
Michela Baccini, Alessandra Mattei, Fabrizia Mealli +2
The opportunity to assess short term impact of air pollution relies on the causal interpretation of the exposure-outcome association, but up to now few studies explicitly faced thi…
Bayesian Inference for Sequential Treatments under Latent Sequential Ignorability
Federico Ricciardi, Alessandra Mattei, Fabrizia Mealli
We focus on causal inference for longitudinal treatments, where units are assigned to treatments at multiple time points, aiming to assess the effect of different treatment sequenc…
Evaluating the Causal Effect of University Grants on Student Dropout: Evidence from a Regression Discontinuity Design Using Principal Stratification
Fan Li, Alessandra Mattei, Fabrizia Mealli
Regression discontinuity (RD) designs are often interpreted as local randomized experiments: a RD design can be considered as a randomized experiment for units with a realized valu…
Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program
Alessandra Mattei, Fan Li, Fabrizia Mealli
The causal effect of a randomized job training program, the JOBS II study, on trainees' depression is evaluated. Principal stratification is used to deal with noncompliance to the…