Gaia BERTARELLI
- Position
- Associate Professor
- Telephone
- 041 234 7658
-
gaia.bertarelli@unive.it
- Academic discipline
- Social statistics [STAT-03/B]
- Website
-
https://www.unive.it/web/en/19197/people/gaia.bertarelli(personal record)
- Office
-
Department of Economics
Website: https://www.unive.it/dep.economics
Where: San Giobbe
Office hours
Department of Economics - San Giobbe campus
Room 118, block C, first floor
Office hours 4°Period: Thursday from 2.30 pm to 4.30 pm (by appointment by email).
Accepting applications from students for bachelor's and master's thesis in the field of statistics / social statistics.
Personal website
Teaching activity current year
Teaching activity previous years
Activities and research skills
- Academic discipline
- Statistica sociale [STAT-03/B]
- Settore Scientifico Disciplinare (SSD) affine
- STATISTICA [SECS-S/01]
- Geographic areas in which the research experience mainly applies
- Internazionale: Europa
- Known languages
-
Inglese
(scritto: avanzato parlato: avanzato)
Francese (scritto: intermedio parlato: base)
Tedesco (scritto: base parlato: base)
Italiano (scritto: madrelingua parlato: madrelingua)
- Main departmental research areas and fields
-
Area:
Ambiente Linea:
Clima
Area: Ambiente Linea: Pianificazione territorio
Area: Statistica Linea: Not-for-profit - Modelli e metodi
Area: Statistica Linea: Not-for-profit - politiche e gestione
- STIMA PER PICCOLE AREE - SMALL AREA ESTIMATION
-
- Description:
- Metodi robusti ed M-quantile; Modelli Latent Markov; Modelli Finite Mixture; Modelli a classi latenti; Benchmarking; modelli Bayesiani Gerarchici; modelli per variabili binarie, Integrazione dati provenienti da più fonti di diversa natura
- Keywords:
- Socio-economic research
- CAMPIONAMENTO - SURVEY STATISTICS
-
- Description:
- Inferenza per popolazioni finite; Analisi di dati provenienti da campioni complessi; Metodi boostrap, Disegni campionari complessi
- MODELLI STATISTICI - STATISTICAL MODELS
-
- Description:
- Modelli Quantile ed M-quantile; Modelli a classi latenti; Modeli spazio-temporali; Modelli per poverty mapping
- VALUTAZIONE DI POLITICHE - POLICY EVALUATION
-
- Description:
- Targeting di politiche sanitarie e relative alla povertà
- INDICATORI COMPOSITI MULTIDIMENSIONALI - MULTIDIMENSIONAL COMPOSITE INDICATORS
- APPLICAZIONI IN AMBITO DI STATISTICA SOCIALE - SOCIAL STATISTICS
-
- Description:
- Statistiche ufficiali; statistiche sanitarie, indagini: sulle forze lavoro, sulle spese delle famiglie, sulle condizioni di salute dei cittadini, AVQ, EU-SILC; statistica di genere; povertà educativa, poverty mapping, multimorbidità
- Planet 4 Health
-
- SSD:
- SECS-S/05
- Other members of the research group:
-
Stefano CAMPOSTRINI
Mattia STIVAL
- Planet 4 Health
-
- Funding body:
- EU - Horizon
- Type:
- HorizonEurope - Global Challenges and European Industrial Competitiveness
- Role in the project:
- LD
- Sito di progetto:
- https://planet4health.eu/
- Starting date:
- Year: 2024 Length in months: 48
- Other members of the research group:
-
Stefano CAMPOSTRINI
Mattia STIVAL
- Servizi Educativi per l'Infanzia
-
- Funding body:
- Dipartimento di politiche per la famiglia
- Type:
- Altri finanziamenti per progetti di ricerca
- Role in the project:
- LD
- Starting date:
- Year: 2025 Length in months: 36
- Other members of the research group:
-
Angela ANDREELLA
Stefano CAMPOSTRINI
Andrea PASTORE
Publication highlights
Schirripa Spagnolo, Francesco; Salvati, Nicola; Bertarelli, Gaia; Haziza, David; Chambers, Ray Bias Control for M-quantile-based Small Area Estimators in JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 121, pp. 1671-1682 (ISSN 0162-1459)
DOI - URL correlato 2026,
Journal Article - ARCA card: 10278/5107549
Schirripa Spagnolo, Francesco; Bertarelli, Gaia; Summa, Donato; Scannapieco, Monica; Pratesi, Monica; Marchetti, Stefano; Salvati, Nicola Inference for big data assisted by small area methods: an application on sustainable development goals sensitivity of enterprises in Italy in JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, vol. 188, pp. 27-45 (ISSN 0964-1998)
DOI - URL correlato 2025,
Journal Article - ARCA card: 10278/5083971
Marchetti, Stefano; Giusti, Caterina; Schirripa Spagnolo, Francesco; Bertarelli, Gaia; Biggeri, Luigi The impact of local cost-of-living differences on relative poverty incidence: an application using retail scanner data and small area estimation models in STATISTICAL METHODS & APPLICATIONS, vol. 33, pp. 1117-1143 (ISSN 1618-2510)
DOI - URL correlato 2024,
Journal Article - ARCA card: 10278/5047138
Giovanni Tonutti; Gaia Bertarelli; Caterina Giusti; Monica Pratesi Disaggregation of poverty indicators by small area methods for assessing the targeting of the Reddito di Cittadinanza national policy in Italy in SOCIO-ECONOMIC PLANNING SCIENCES, vol. 82 (ISSN 0038-0121)
DOI - URL correlato 2022,
Journal Article - ARCA card: 10278/5014905
Bertarelli G.; Chambers R.; Salvati N. Outlier robust small domain estimation via bias correction and robust bootstrapping in STATISTICAL METHODS & APPLICATIONS, vol. 30, pp. 331-357 (ISSN 1618-2510)
DOI 2021,
Journal Article - ARCA card: 10278/5015265
List of publications
Curriculum vitae
Gaia Bertarelli is an Associate Professor of Social Statistics at the Department of Economics of the Ca’ Foscari University of Venice. She obtained a BSc in Mathematics and a Master degree in Biostatistics and Experimental Statistics from the University of Milano Bicocca. She enrolled in the doctoral program in Statistics of the University of Milano Bicocca in 2012. Under the supervision of Prof. Maria Giovanna Ranalli, she was awarded a PhD in December 2015. In the following years, she worked at the University of Perugia and at the University of Pisa as post-doc researcher; and at the Sant’Anna School of Advanced Studies of Pisa as junior assistant professor, before moving to Venice in February 2023 as tenure track assistant professor, and then from February, 2026, as Associate Professor.
Her research fields include small area estimation (SAE) methods, robust statistics, latent variable models, multidimensional composite indicators and integration methods for different types of data. The fields of application of her research mainly concern health systems, gender differences and multidimensional aspects of poverty and sustainable well-being. She is a consultant for FAO (The Food and Agriculture Organization of the United Nations) and for Save the Children ONLUS, and since 2018 she has been involved in several projects funded by the European Union. Since 2015 she has collaborated with ISTAT (National Institute of Statistics) on projects aimed at the methodological and applicative development of SAE models in official statistics and concerning the definition and measurement of educational poverty.
In 2019-2020 she was councilor and coordinator of the ySIS section, the group of statisticians under 35 of the SIS, Italian Statistical Society. For the two-year period 2024-2025 she is an elected member of the coordinating group of S2G, the SIS Survey Sampling group. Since 2024 she has been associate editor of the scientific journal "Statistical Methods and Applications" (fascia A - Area 13 - ANVUR) and editor of the "Book and Software" section of The Survey Statistician, the magazine of the IASS (International Association of Survey Statisticians).
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