Sebastian Calonico

Ph.D. in Economics, University of Michigan, 2014
M.A. in Statistics, University of Michigan, 2012

Research Expertise 
Program Evaluation, Causal Inference Methodology, Robust statistical inference, Nonparametric Methods, Data Science

Sebastian Calonico is an assistant professor at the Graduate School of Management at UC Davis. His research combines econometrics and data science to develop and apply novel statistical methods aimed at addressing key issues in public and health policy and business analytics, with a particular interest in program evaluation and causal inference methodology.

Sebastian's work has been published in leading journals in economics, statistics and health, including Econometrica, Review of Economics and Statistics, Bernoulli, Journal of the American Statistical Association, and Journal of the American Medical Association. Its interdisciplinary nature has also led to several awards and significant impact among applied and methodological researchers. Sebastian also leads numerous national and international workshops on program evaluation and causal inference methodology.

Sebastian was born in Haedo, Argentina. He completed a Bachelor of Arts in economics at Universidad de Buenos Aires and a Master of Arts in economics at Universidad Torcuato Di Tella. He later received a Ph.D. in economics from the University of Michigan, where he also obtained a Master of Arts in statistics.

Awards

Emerging Scholar Award, University of Miami, 2018.
Statistical Software Award, Society for Political Methodology, 2017.
Citations of Excellence Award, Emerald Group Publishing, 2017.
Gosnell Prize, Society for Political Methodology, 2015.