Federico Crescenzi

Statistica per il turismo e la gastronomia

Articles

• L. Correani, P. Morganti, I. Benedetti, and F. Crescenzi, “Insights on the social and economic factors ofthe circular economy: A study of the italian industrial and urban waste recycling sector,” WasteManagement, vol. 193, pp. 571–580, 2025. 

   

• F. Crescenzi and L. Mori, “On the estimation of fuzzy poverty indices using official survey data.variance estimation, robusteness and computational considerations,” Journal of Statistical Computationand Simulation, 2025, Accepted for publication.

   

•  F. Crescenzi, L. Mori, A. D’Agostino, G. Betti, F. Gagliardi, and L. Neri, “Fuzzypovertyr: An r packagefor estimating fuzzy poverty indices,” Journal of Applied Statistics, 2025.

   

•  F. Crescenzi, A. Nigri, and G. Betti, “The poverty free life expectancy in europe,” Journal of OfficialStatistics, 2025, Accepted for publication.

   

•  I. Benedetti, F. Crescenzi, T. Laureti, and L. Secondi, “Adopting the fuzzy approach to analyze foodpoverty in italy: A study on vulnerable households using household budget survey data,”Socio-Economic Planning Sciences, vol. 95, p. 102 006, 2024

   

• . G. Betti, F. Crescenzi, V. Molini, and L. Mori, “Estimation of multidimensional poverty in morocco: Asmall area estimation approach using meteorological and socio-economic covariates,” Social IndicatorsResearch, pp. 1–31, 2024.

   

•  F. Crescenzi, “Imputed price indices via matrix completion,” Annals of Operations Research, pp. 1–25,2024. 

   

• I. Benedetti and F. Crescenzi, “The role of income poverty and inequality indicators at regional level:An evaluation for italy and germany,” Socio-Economic Planning Sciences, vol. 87, p. 101 540, 2023.

   

•  F. Crescenzi, “Hedonic pricing modelling with unstructured predictors: An application to italianfashion industry,” AStA Advances in Statistical Analysis, vol. 107, no. 4, pp. 733–753, 2023

   

• F. Crescenzi and L. Neri, “Estimating fuzzy measures of deprivation at local level in tuscany,” Quality& Quantity, pp. 1–20, 2023.

   

• I. Benedetti, F. Crescenzi, and T. Laureti, “A model for measuring the accuracy in spatial pricestatistics using scanner data,” Review of Official Statistics, vol. 3, pp. 7–42, 2022.

   

• F. Crescenzi, C. Galluccio, and A. Petrucci, “The italian newspapers’ narrative on distance learningduring the covid-19 pandemic,” Statistica Applicata, 2021, issn: 2038-5587.

Conference proceedings

• I. Benedetti and F. Crescenzi, “Exploring small areas techniques to address uncertainty in spatial priceindexes,” in Book of the Short Papers, A. Balzanella, M. Bini, C. Cavicchia, and R. Verde, Eds., Presentedat the SIS Conference, 22-24 June 2022, Caserta, Italy: Pearson, 2022, isbn: 9788891932310. 
• I. Benedetti, F. Crescenzi, L. Palumbo, and A. Brunetti, “Exploring sustainable food purchasingbehaviour using italian scanner data,” in Book of Short Papers SIS, A. Balzanella, M. Bini, C. Cavicchia,and R. Verde, Eds., Presented at the SIS Conference, 22-24 June 2022, Caserta, Italy: Pearson, 2022, isbn:9788891932310. 
• I. Benedetti and F. Crescenzi, “A model for measuring the accuracy in spatial price statistics usingscanner data,” in Book of Short Papers SIS 2020, A. Pollice, N. Salvati, and F. Schirripa Spagnolo, Eds.,Pisa: Pearson, Jun. 2020, pp. 10–15, isbn: 9788891910776. 
• F. Crescenzi, M. Freo, and A. Luati, “Text based pricing modelling: An application to the fashionindustry,” in Smart Statistics for Smart Applications - Book of Short Papers 2019, G. Arbia, A. Peluso,G. Pini, and S. Rivellini, Eds., Presented at the conference in Milano, 18-21 June 2019, Milano: Pearson,Jun. 2019, pp. 775–780, isbn: 9788891915108.

Book Chapters

• G. Betti, F. Crescenzi, and F. Gagliardi, “Can a neighbouring region influence poverty? a fuzzy andlongitudinal approach,” in Analysis of Socio-Economic Conditions, Routledge, 2021, pp. 53–69.

   

• B. Bertaccini, S. Bacci, and F. Crescenzi, “A dynamic latent variable model for monitoring the santamaria del fiore dome behavior,” in Computational Science and Its Applications – ICCSA 2020, ser. LectureNotes in Computer Science, O. Gervasi and et al., Eds., vol. 12252, Springer, 2020, pp. 47–5

• Membro della Società Italiana di Statistica

[SIS 2021] Relatore invitato al convegno "SIS 2021 - meeting of the italian statistical society"Sessione: New perspectives on multidimensional child poverty (SOL.4). Chair: An-tonella D’Agostino Titolo: Estimating uncertainty for child poverty indicators: TheCase of Mediterranean Countries. Pisa 21-25/06/2021 Autori: Ilaria Benedetti, Fed-erico Crescenzi and Riccardo De Santis.

[SIS 2022 ] Sessione: SPE12 - small area estimation methods with socioeconomic applicationsChair: Maria Rosaria Ferrante Titolo: Exploring small area techniques to addressuncertainty in sparial price indexes Autori: Ilaria Benedetti, Federico Crescenzi

[SIS 2023 ] Relatore invitato al convegno "SIS 2023 - Statistical Learning, Sustainability and Im-pact Evaluation". Sessione: "Statistical learning for well-being analysis" Autori: GianniBetti, Federico Crescenzi, Antonella D’Agostino Titolo: "The fuzzy set approach asstatistical learning for the analysis of multidimensional well-being" Organizers:

[CMS-CFE 2023 ] Relatore invitato al convegno "CFE-CMS Statistics". Sessione EO324 Titolo "Thepoverty free life expectancy in Europe" Autori: Gianni Betti, Federico Crescenzi, An-drea Nigri 

[2024 ] Relatore al secondo convegno nazionale di statistica economica Titolo "Business Dig-italization in Italy: A Comprehensive Analysis Using Supplementary Fuzzy Set Ap-proach"

As Organizer (Past and Forthcoming)[ESRA2025 ]  ESRA Conference (European Survey Research Association) Session: al-ternative data sources and pseudo-inference in official statistics. 

[ESRA2025]: ESRA Conference (European Survey Research Association) Session:New development and applications in survey to survey imputation

[ERSA 2024 ] Conference: "International conference on regional science". Cuenca 16-18Ottobre, 2024.(https://reunionesdeestudiosregionales.org/cuenca2024/en/sesiones-especiales/) "SS13 Fuzzy methods for measuring sustainability and well-

• Analisi statistica di povertà e disuguaglianza
• Statistica ufficiale
• Statistica computazionale
• Indagini campionarie