Gaia BERTARELLI

Qualifica
Ricercatrice
E-mail
gaia.bertarelli@unive.it
SSD
Statistica sociale [STAT-03/B]
Sito web
www.unive.it/persone/gaia.bertarelli (scheda personale)
Struttura
Dipartimento di Economia
Sito web struttura: https://www.unive.it/dip.economia
Sede: San Giobbe
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity

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. 00, pp. 1-19 (ISSN 0964-1998)
DOI - URL correlato 2024, Articolo su rivista - Scheda ARCA: 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, Articolo su rivista - Scheda ARCA: 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, Articolo su rivista - Scheda ARCA: 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, Articolo su rivista - Scheda ARCA: 10278/5015265


Gaia Bertarelli , M. Giovanna Ranalli, Bartolucci Francesco, D'Alò Michele, Solari Fabrizio Small area estimation for unemployment using latent Markov models in SURVEY METHODOLOGY, vol. 44, pp. 167-192 (ISSN 0714-0045)
2018, Articolo su rivista - Scheda ARCA: 10278/5015204