About
Anna Simoni is a Senior Researcher at CNRS/CREST and Professor of Econometrics and Statistics at ENSAE and École Polytechnique. She holds a PhD (2009) and Habilitation (2017) from Toulouse School of Economics. Her research focuses on econometric methods for big data analysis, Bayesian inference, and policy evaluation. Key roles include Associate Editor of the Journal of Econometrics and Fellowships at Hi! Paris and Institut Louis Bachelier. In 2019, she received the CNRS Bronze Medal for her contributions.
Education:
- PhD in Economics, Toulouse School of Economics (2009)
- Habilitation à Diriger de Recherche (HDR), Toulouse School of Economics (2017)
Research Interests: Anna specializes in advanced econometric techniques such as Bayesian methods, high-dimensional modeling, and nowcasting using digital data. Her work integrates machine learning and statistical theory to address economic questions like GDP prediction and causal inference.
Awards & Grants:
- CNRS Bronze Medal (2019)
- Fellow, Hi! Paris (2021)
- Fellow, Institut Louis Bachelier (2021)
- ANR Grant for 'Moment Conditions Models and Bayesian Inference for Policy Evaluation' (2021–2025)
Labs & Affiliations: Active at CREST (Center for Research in Economics and Statistics) and affiliated with the Institut Polytechnique de Paris. Her work intersects economic theory, statistical methodology, and applied policy analysis.
