Riccardo D'Alberto

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foto_website_rda, September 7, 2023
Position
Temporary Assistant Professor
Academic sector
STAT-02/A - Economic Statistics
Research sector (ERC-2024)
PE1_15 - Generic statistical methodology and modelling

SH1_8 - Econometrics, game theory, decision theory

SH7_5 - Sustainability sciences, environment and resources, ecosystem services

Office
Polo Santa Marta,  Floor 1,  Room 1.75
Telephone
045 8028248
E-mail
riccardo|dalberto*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

The teacher meets with the students in his office or online (Teams/Zoom), by prior arrangement and appointment to be agreed by e-mail.

Curriculum

Riccardo D'Alberto is a Senior Fixed-Term Researcher (RTD-B) at the Department of Economics of the University of Verona.

He obtained a Ph.D. in Statistical Sciences (SECS-S/03 – Economic Statistics) at the Department of Statistical Sciences "P. Fortunati" of the Alma Mater Studiorum – University of Bologna, defending a thesis entitled "Statistical Matching Imputation among Different Farm Data Sources", supervised by Professor Meri Raggi and Professor Davide Viaggi.

His main research interests include:

- Causal effects analysis and counterfactual estimation (with a focus on Propensity Score Matching, Diff-In-Diff, robust DID, and spatial methods) applied to policy impact evaluation in relation to socioeconomic and environmental issues and challenges at the regional scale.

- Different data sources integration (primary & secondary data, Official Statistics, microdata...) with a focus on businesses and consumer data.

- Imputation, Record Linkage, and data set building by means of non-parametric micro Statistical Matching.

- Hot deck techniques and distance functions.

- Benefit Transfer, with a focus on CVM and CE methods.

- Willingness to pay and willingness to accept estimation in relation to agri-environmental public goods.

Riccardo has been a project member in the following European projects funded by the Horizon 2020 program: PROVIDE (Grant Agreement No. 633838), LIFT (Grant Agreement No. 770747), and CONSOLE (Grant Agreement No. 817949). The PROVIDE and CONSOLE projects were coordinated by the research group of Professor Viaggi (Alma Mater Studiorum – University of Bologna). Riccardo also participated in the European project funded by the FP7 IMPRESA program (Grant Agreement No. 609448), and in the following European projects funded by the Horizon 2020 program: SUFISA (Grant Agreement No. 635577), RUBIZMO (Grant Agreement No. 773621). Finally, he was a paid consultant for the following European Commission Tender projects: AGRI/2020/OP/0004 (Contract No. Ares(2020)3784847), AGRI-2016-EVAL-04 (Contract No. 30-CE-0887790/00-21).

Modules

Modules running in the period selected: 5.
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 (2025/2026)   9    6 
Master’s degree in Marketing and Corporate Communication Business Statistics (2024/2025)   9  eLearning 6 
Master’s degree in Banking and Finance Financial statistics (2024/2025)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Business Statistics (2023/2024)   9  eLearning 6 
Master’s degree in Banking and Finance Financial statistics (2023/2024)   9  eLearning 9 

Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:

  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.
Research interests
Topic Description Research area
JEL C31 – Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models Cross-sectional and spatial models, including models for estimating the treatment effect, quantile regressions, and social interaction models. Quantitative Methods for Economics
Multiple or Simultaneous Equation Models; Multiple Variables
JEL C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Models;Diffusion Processes;State Space Models Robust estimation of model coefficients applied to financial and energy data odered by time. Analysis and prediction of prices collected on financial and electricity markets. Quantitative Methods for Economics
Multiple or Simultaneous Equation Models; Multiple Variables
JEL C33 – Panel Data Models • Spatio-temporal Models Panel data models; models for longitudinal data, and spatial time series. Quantitative Methods for Economics
Multiple or Simultaneous Equation Models; Multiple Variables
JEL C81 – Methodology for Collecting, Estimating, and Organizing Microeconomic Data • Data Access Methodologies for data collection, estimation and inference from different data sources; techniques for data organization (macro and micro data), including integration methods, data fusion techniques, record linkage, data anonymization, and data access. Quantitative Methods for Economics
Data Collection and Data Estimation Methodology ; Computer Programs



Riccardo D'Alberto
Office Collegial Body
member Economics Department Council - Department Economics
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