Dr. Giovanni Cerulli
Dr. Giovanni Cerulli is research director at IRCrES-CNR, Research Institute on Sustainable Economic Growth, National Research Council of Italy, Unit of Rome. His research interest is in applied econometrics, with a special focus on causal inference, program evaluation, and machine learning applied to various fields of socio-economic science. Giovanni has developed original causal inference models, such as dose-response and treatment models with social interaction providing Stata implementation. He has developed around twenty Stata commands for casual inference and machine learning, working also on Stata/Python/R integration for this purpose. Giovanni is author of the book Econometric Evaluation of Socio-Economic Programs: Theory and Applications (Springer, 2015; second edition 2022), and of the book Fundamentals of Supervised Machine Learning: with Applications in Python, R, and Stata (Springer, 2023). He has published his papers in several high-quality scientific journals and is currently editor-in-chief of the International Journal of Computational Economics and Econometrics. Webpage: https://sites.google.com/view/giovannicerulli/home