Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


Struttura
Dipartimento di Economia, Società, Politica (DESP) Urbino Via Saffi, 42 francesco.vidoli@uniurb.it
Curriculum Sito web

Assistant professor (RTDB) in Statistic Economics @ University of Urbino Carlo Bo, my research interests cover the production efficiency in public services, new methods for construction of composite indicators and spatial heterogeneity streams; integrative course teacher (course on Data Envelopment Analysis) in Economic and Statistics at the Faculty of Political Science, University of Roma Tre, years 2004-2018; PhD in ”Economics, mathematics and statistics for social phenomena” at the University of Rome, La Sapienza; Winner of 2014 award for the best PhD thesis “Giorgio Leonardi” - XXVIII edition, AISRe.

Granted as Full professor in 2020 (Abilitazione Scientifica Nazionale, ASN, year 2020-2029) and as Associated professor in Economic statistics in 2017 - National Scientific Qualification (Abilitazione Scientifica Nazionale, ASN, year 2017-2023).

R developer and teacher: among others, author of the R package for composite indicator estimation (Compind), for semiparametric estimation of Stochastic Frontier Models (semsfa), for controlling the spatial heterogeneity in Stochastic Frontier Analysis (ssfa) and for the spatial regimes estimation (SpatialRegimes).

Fellow AISRe and SIS.

2022

Jacopo Canello and Francesco Vidoli. Formal cooperation and the performance of italian firms operating inside and outside industrial districts. Regional
Studies, 2022. ISSN 0034-3404. doi: https://doi.org/10.1080/00343404.2022.2054977

2022

Francesco Vidoli and Monica Auteri. Health-care demand and supply at municipal level: A spatial disaggregation approach. Socio-Economic Planning Sciences, page 101229, 2022. ISSN 0038-0121. doi: https://doi.org/10.1016/j.seps.2022.101229

2022

F. Vidoli, G. Pignataro, and R. Benedetti. Identification of spatial regimes of the production function of italian hospitals through spatially constrained cluster-wise regression. Socio-Economic Planning Sciences, page 101223, 2022. ISSN 0038-0121. doi: https://doi.org/10.1016/j.seps.2022.101223

2021
A.G. Billè, C. Salvioni, and F. Vidoli. "Spatial econometric modelling of farm data" In P. Postiglione, R. Benedetti, and F. Piersimoni, editors, Spatial Econometric Methods in Agricultural Economics Using R, chapter 9. CRC Press, 2021
?www.routledge.com/Spatial-Econometric-Methods-in-Agricultural-Economics-Using-R/Postiglione-Benedetti-Piersimoni/p/book/9781498766814

2020
Benedetti R., Piersimoni F, Pignataro G. Vidoli F. ”The identification of spatially constrained homogeneous clusters of Covid?19 transmission in Italy", Regional Science Policy & Practice, 12: 1169– 1187
https://rsaiconnect.onlinelibrary.wiley.com/doi/abs/10.1111/rsp3.12371

2020
Canello J., Vidoli F. ”Investigating space?time patterns of regional industrial resilience through a micro?level approach: an application to the Italian wine industry", Journal of Regional Science, 60: 653– 676
https://onlinelibrary.wiley.com/doi/abs/10.1111/jors.12480?af=R

2020
Fusco E., Vidoli F., Rogge N. ”Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: an application to Italian waste sector
”, Omega, vol. 94
 https://www.sciencedirect.com/science/article/pii/S0305048318308867?via%3Dihub

2019
Porcelli F., Vidoli F. ”A comprehensive model for the evaluation of standard expenditure needs and standard level of local services”, Local Government Studies, 46(5):734–762
https://doi.org/10.1080/03003930.2019.1682558

2019
Auteri M., Guccio M., Pammolli F., Pignataro G., Vidoli F. ”Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals”, Social Science & Medicine (in press)
 https://www.sciencedirect.com/science/article/pii/S0277953619305386?dgcid=author

2018
Vidoli F., Fusco E., ”Level of services, spatial dependence and allocative efficiency in local governments”, Local government studies, Vol. 44, Issue 6, pp. 848-873 https://doi.org/10.1080/03003930.2018.1512491

2018
Fusco E., Vidoli F., Sahoo B., ”Spatial heterogeneity in composite indicator: a methodological proposal”, Omega, Vol. 77, pp 1-14 https://doi.org/10.1016/j.omega.2017.04.007

2017
Ferrara G., Vidoli F., ”Semiparametric stochastic frontier models: a generalized additive model approach”, European Journal of Operational Research, Vol. 258, Issue 2, pp. 761-777
http://dx.doi.org/10.1016/j.ejor.2016.09.008

2016
Vidoli F., Cardillo C., Fusco E., Canello J. ”Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry”, Regional Science and Urban Economics, Vol. 61, pp. 153-164
[Link]

2016
Porcelli F., Vidoli F., Dispotico R, ”Public Sector Economics and the Need for Reforms, chapter A Simple Four Quadrants Model to Monitor the Performance of Local Governments. MIT Press, CESifo, May 2016, https://mitpress.mit.edu/books/public-sector-economics-and-need-reforms

2016
Vidoli F., Canello J., ”Controlling for spatial heterogeneity in nonparametric efficiency models: an empirical proposal”, European Journal of Operational Research, Volume 249(2), pp. 771–783
http://authors.elsevier.com/a/1S6f31LnJ6Ko3b.

 2015
Vidoli F., Fusco E., Mazziotta C., “Non-compensability in composite indicators: a robust directional frontier method”, Social Indicators Research, Springer Netherlands, Vol. 122, Issue 3, pp. 635-652, http://link.springer.com/article/10.1007%2Fs11205-014-0710-y and http://rdcu.be/mETf

Prodotti della Ricerca di Francesco Vidoli.

vedi

A.A.
A.Y.
Insegnamento
Course
2022/2023 DATA MANAGEMENT PER LO SVILUPPO DEI MERCATI
DATA MANAGEMENT FOR MARKET DEVELOPMENT
Course with optional materials in a foreign language
2022/2023 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES
mutuato
Course with optional materials in a foreign language
2022/2023 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE I MODULO
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES I
mutuato
Course with optional materials in a foreign language
2022/2023 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE II MODULO
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES II
Course with optional materials in a foreign language
2022/2023 STATISTICA ECONOMICA
ECONOMIC STATISTICS
Course with optional materials in a foreign language
2022/2023 STATISTICA ECONOMICA
ECONOMIC STATISTICS
mutuato
Course with optional materials in a foreign language
2022/2023 STATISTICA ECONOMICA
ECONOMIC STATISTICS
mutuato
Course with optional materials in a foreign language
2021/2022 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES
mutuato
Course with optional materials in a foreign language
2021/2022 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES
mutuato
Course with optional materials in a foreign language
2021/2022 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE I MODULO
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES I
Course with optional materials in a foreign language
2021/2022 INTRODUZIONE ALLA STATISTICA ECONOMICA PER LE SCIENZE GIURIDICHE II MODULO
INTRODUCTION TO ECONOMIC STATISTICS FOR LEGAL SCIENCES II
Course with optional materials in a foreign language
2021/2022 SISTEMI INFORMATIVI PER L'AZIENDA ED IL MERCATO
INFORMATION SYSTEMS FOR ENTERPRISES AND MARKETPLACES
2021/2022 STATISTICA ECONOMICA
ECONOMIC STATISTICS
2021/2022 STATISTICA ECONOMICA
ECONOMIC STATISTICS
mutuato

Condividi


Questo contenuto ha risposto alla tua domanda?


Il tuo feedback è importante

Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

Se sei vittima di violenza o stalking chiama il 1522

Il 1522 è un servizio pubblico promosso dalla Presidenza del Consiglio dei Ministri – Dipartimento per le Pari Opportunità. Il numero, gratuito è attivo 24 h su 24, accoglie con operatrici specializzate le richieste di aiuto e sostegno delle vittime di violenza e stalking.

Posta elettronica certificata

amministrazione@uniurb.legalmail.it

Social

Università degli Studi di Urbino Carlo Bo
Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
Partita IVA 00448830414 – Codice Fiscale 82002850418
2022 © Tutti i diritti sono riservati

Top