Francesca Rossi

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Foto, December 22, 2021
Position
Associate Professor
Academic sector
SECS-P/05 - ECONOMETRICS
Office
Polo Santa Marta,  Floor 1,  Room 1.34
Telephone
045 802 8098
E-mail
francesca|rossi_02*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
https://sites.google.com/site/francescarossiphd
Curriculum

Dr Francesca Rossi received her Ph.D. from the London School of Economics in 2011. Her main field of research is econometrics, and in particular she works on theoretical analysis of spatial data. After working five years at the University of Southampton as an Assistant Professor, she joined the University of Verona in September 2016 under the scheme Rita Levi Montalcini.
 

Modules

Modules running in the period selected: 18.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Economics and Business Econometrics (2023/2024)   9  eLearning 9 
Bachelor's degree in Applied Mathematics Econometrics (2023/2024)   6  eLearning 6 
Ph.D. in Economics and Finance Financial Time Series (2023/2024)   5  eLearning 2.5 
Master’s degree in International Economics and Business Metodi Quantitativi per i Mercati Internazionali (2022/2023)   9  eLearning 9 
Bachelor's degree in Economics, Firms and International Markets Quantitative Methods for International Markets (2022/2023)   9  eLearning 9 
Master’s degree in International Economics and Business An introduction to multivariate statistical analysis using R - 2022/2023 (2022/2023)   1  eLearning 1 
Bachelor's degree in Economics and Business (Vicenza) Introductory econometrics (2021/2022)   6  eLearning 6 
Master’s degree in International Economics and Business Metodi Quantitativi per i Mercati Internazionali (2021/2022)   9  eLearning 9 
Master’s degree in International Economics and Business An introduction to multivariate statistical analysis using R - 2021/2022 (2021/2022)   1  eLearning 1 
Master’s degree in International Economics and Business Metodi Quantitativi per i Mercati Internazionali (2020/2021)   9  eLearning 9 
Bachelor's degree in Economics and Business (Vicenza) Statistics (2020/2021)   9  eLearning 7 
PhD in Economics and Management Econometrics for management (2020/2021)   7.5    2.5 
Master’s degree in International Economics and Business Introduction to the use of R - 2020/21 (2020/2021)   2  eLearning 2 
Bachelor's degree in Economics and Business (Vicenza) Statistics (2019/2020)   9  eLearning 9 
PhD in Economics and Management Econometrics for management (2019/2020)   4    1 
Bachelor's degree in Economics and Business (Vicenza) Statistics (2018/2019)   9  eLearning 7 
PhD in Economics and Management Lezioni Dottorandi (2017/2018)   10    1 
Bachelor's degree in Economics and Business (Vicenza) Statistics (2017/2018)   9  eLearning 7 

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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 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 C18 - Methodological Issues: General Derivation of properties of estimators and test statistics in large samples and their analytical corrections for small/medium samples. 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


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