Flavio Santi

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profilo, January 21, 2019
Position
Associate Professor
Academic sector
SECS-S/03 - ECONOMIC STATISTICS
Research sector (ERC)
PE1_14 - Statistics

Office
Polo Santa Marta,  Floor 1,  Room 1.56
Telephone
045 802 8239
E-mail
flavio|santi*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

On request by writing to flavio.santi@univr.it

Curriculum
  • pdf   CV en   (pdf, it, 67 KB, 30/08/20)
  • pdf   CV ita   (pdf, it, 65 KB, 30/08/20)

Flavio Santi is Associate Professor of economic statistics at the Department of Economics of the University of Verona since December 2021. He obtained a PhD at the Sapienza University of Rome in 2016 and conducted his research as a research assistant and post-doc researcher at the University of Trento until December 2018. From December 2018 to December 2021 he was assistant professor of economic statistics at the Department of Economics of the University of Verona.
His research interests are mainly focused on spatial econometrics and spatial statistics, and in particular on modelling and computational issues.

Modules

Modules running in the period selected: 13.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master’s degree in Marketing and Corporate Communication Business Statistics (2022/2023)   9    9 
Master's degree in Corporate governance and business administration Business Statistics (2022/2023)   6    3 
Master’s degree in Banking and Finance Financial statistics (2022/2023)   9    9 
PhD in European and International Law Basic statistics course (2021/2022)   2.5  eLearning 0.31 
Master's degree in Corporate governance and business administration Business Statistics (2021/2022)   6  eLearning 3 
Master’s degree in Marketing and Corporate Communication Business Statistics (2021/2022)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2021/2022)   9  eLearning 9 
PhD in European and International Law Intermediate statistics course (2021/2022)   2.5  eLearning 0.26 
Master’s degree in Business Administration and Corporate Law Business Statistics (2020/2021)   6  eLearning 6 
Bachelor's degree in Economics and Business (Verona) Statistics (2020/2021)   9  eLearning 2 
PhD in Economics and Management Software R (2020/2021)   2.5  eLearning 2.5 
Master’s degree in Business Administration and Corporate Law Business Statistics (2019/2020)   6  eLearning 6 
Bachelor's degree in Economics and Business (Verona) Statistics (2019/2020)   9  eLearning 2 

 
 
Research interests
Topic Description Research area
JEL C12 - Hypothesis Testing: General Hypotesis testing to detect spatial correlation and to assess whether models are correctly specified, development of analytical corrections to improve tests' performance in finite samples. Quantitative Methods for Economics
Econometric and Statistical Methods and Methodology: General
JEL C13 - Estimation: General Development and estimation of statistical models in finance, and for economic and social data; computationally intensive Monte Carlo estimation algorithms such as Monte Carlo EM and sequential Monte Carlo. Quantitative Methods for Economics
Econometric and Statistical Methods and Methodology: General
JEL C15 - Statistical Simulation Methods: General Computer intensive estimation methods based on Monte Carlo simulations, bootstrap and indirect inference. Also includes machine learning, and development of statistical software for the analysis of economic phenomena. Quantitative Methods for Economics
Econometric and Statistical Methods and Methodology: General
JEL C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions Inference for spatial data, teoretical analysis of the models known as spatial autoregressions and their application in empirical settings. Quantitative Methods for Economics
Single Equation Models; Single Variables
JEL C80 - General Implementazione e sviluppo software per l'analisi statistica ed econometrica, per il trattamento dati e per la rappresentazione grafica. Quantitative Methods for Economics
Data Collection and Data Estimation Methodology ; Computer Programs