CV
My latest updated CV can be found here
Education
2022, University of Florida, Visiting student
Synthetic Control Method with spatial data , Supervisor: Prof: G.Papadogeorgou
2019 - 2023, University of Florence, Ph.D. in Statistics
Methods for policy evaluation with panel data , Supervisor: Prof: A. Mattei
2014 - 2017, University of Florence, M.Sc. in Economics and Development - 110/110 cum laude
Thesis: Modelling inflation in a global perspective: a GVAR approach. Supervisor: Prof: G.M.Gallo
2011 - 2014, University of Florence, B.A. in Economics and Commerce - 102/110
Thesis: The Beveridge curve in EU: an econometric analysis with panel data. Supervisor: Prof: G.M.Gallo
Experience
02/2023-06/2023, Professor, Istituto Lorenzo de Medici
Statistics 101 - Introduction to Statistics, Undergraduate level
03/2022-06/2022, Data Mining and Architecture, University of Florence
Data architecture, cleaning and presentation of EU SILC database
Spring 2021 - 2022 - 2023/ Fall 2022 , Assistant teacher, University of Florence
Teachings: STATA Lab 2 - Regression Analysis, Statistics 101, Statistics 102
July 2018 - November 2019, Research Scholarship, IRPET - Regional Institute for Economic Planning of Tuscany
Research topics: Synthetic Control Methods in urban policy evaluation. Behavioural components of evasion, tax morale and compliance. Public system cooperation in fighting tax evasion
July 2017 - November 2018, Fellow, IRPET - Regional Institute for Economic Planning of Tuscany
Research topics: Evaluation of infrastructure construction on firms vitality. Evaluation of public policies against tax evasion
February 2017 - July 2017, Fellow, CIEO - Centre for Spatial and Organizational Dynamics, Faro, PT
Research topics: Determinants for tourism pull factor in Algarve, PT
October 2014 - June 2018, High school teacher, La base di San Lorenzo, Florence
Subjects: Economics. Business Administration & Accounting. Statistics
Communication Skills
Italian: Mother tongue. English: C1. Spanish:A2. Portuguese:B1
2023, Oral Presentation, SIS 2023 , Ancona- SMaC - Spatial matrix completion methods
2023, Poster Presentation, EuroCIM 2023 , Oslo - SMaC - Spatial matrix completion methods
2023, Invited Presentation, ENAR 2023, Nashville, TN - Direct and spillover effects using Synthetic Control Method
2022, Oral Presentation, IMS ICSDS , Florence- SMaC - Spatial matrix completion methods
2022, Invited seminar, UFlorida, Gainesville - Direct and spillover effects using Synthetic Control Method
2022, Oral Presentation, COMPIE2022, Mannheim- The policy is always greener: impact heterogeneity of Covid-19 vaccination in the US.
2022, Invited Speaker, SIS2022, Caserta- Bayesian Principal Stratification with longitudinal data and truncation by death.
2022, Invited Speaker, EcoSta2022, Kyoto - Bayesian Principal Stratification with longitudinal data and truncation by death.
2021, Seminar , University of Florence, Florence- Causal Inference with longitudinal data
2021, Invited Seminar , Ecole Polytechnique, Paris - Synthetic Control Group Methods in the Presence of Interference: towards a broader approach.
2020, Oral Presentation, SIET - Società Italiana Economia dei trasporti - Synthetic Control Group Methods in the Presence of Interference: Direct
and Spillover Effects of Light Rail on Neighborhood Retail Activity.
2020, Seminar , University of Florence, Florence- Causal Inference with longitudinal data
2020, Oral Presentation, European Causal Inference Meeting, Oslo - Bayesian Principal Stratification with longitudinal data and truncation by death.
2019, Oral Presentation, European Causal Inference Meeting, Bremen - Direct and spillover effects using the synthetic control method in the presence of interference
2019, Oral Presentation, 6th Shadow Economy Conference, Trento- Tax morale, institutional quality and personal aptitude on tax evasion behaviour.
2018, Oral Presentation, 30th SIEP, Padova - An analysis over the public policies in fighting evasion, the car tax example
2018, Poster, European Causal Inference Meeting, Florence. - Direct and spillover effects using the synthetic control method in the presence of interference
Publications
• Grossi, G. (2022) .The policy is always greener: impact heterogeneity of Covid-19 vaccination in the US. arXiv preprint arXiv:2203.14831
• Grossi, G., Lattarulo, P., Mariani, M., Mattei, A., Oner, O. (2020).Synthetic Control Group Methods in the Presence of Interference: The Direct and Spillover Effects of Light Rail on Neighborhood Retail Activity. arXiv preprint arXiv:2004.05027.
• Angeli, A., Grossi, G., Lattarulo, P., Pazienza, M.G., (2019), Se anche il comune va a caccia di evasori, https://www.lavoce.info/archives/61021/levasione-si-batte-con-la-collaborazione/
• Slides of ongoing research are available upon request
Ongoing research
Grossi, G. , Mattei, A., Papadogeorgou, G. (2023) .SMaC: Spatial Matrix Completion Method.
Brini, A. Grossi, G. (2023) . On the use of GNN in Causal Inference to assess network causal effects - Preliminary design phase
Grossi, G., Guarducci, G. (2023) . Assessing the impact of medical certificates on flu diffusion in Tuscany
Ballerini, V., Grossi, G., Mattei, A., Mealli, F., Menchetti, F. Evaluation of the impact of vocational training funding provided by the For.Te. Interprofessional Fund
Software Development Skills
R - Stata - Python- Eviews - Qgis
Computer Software
Latex - Office ambient - MySQL
Awards
2021-22, VSAE-Econometric Games, University of Amsterdam - Team Captain
2020, Best Young Trasport Economist, SIET - Società Italiana Economia dei Trasporti - Best paper presented by an under30 scholar
2019-2022 Full Scholarship, University of Florence
2011-2017, Merit Scholarship, University of Florence
Other informations
• Red Cross Volunteer (2015-2019)
• Driving Licence