3 citations · 7 across the 5 of their papers we have counts for
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econ.EM2023★ 2 cited
Causal inference and policy evaluation without a control group
Augusto Cerqua, Marco Letta, Fiammetta Menchetti
Without a control group, the most widespread methodologies for estimating causal effects cannot be applied. To fill this gap, we propose the Machine Learning Control Method, a new…
econ.EM2021★ 3 cited
Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach
Fiammetta Menchetti, Fabrizio Cipollini, Fabrizia Mealli
The Rubin Causal Model (RCM) is a framework that allows to define the causal effect of an intervention as a contrast of potential outcomes. In recent years, several methods have be…