Journal Articles
Blasi, S., Fano, S., Sedita, S. R., & Toschi, G. (2022). A network perspective of cognitive and geographical proximity of sustainable tourism organizations: evidence from Italy. International Journal of Contemporary Hospitality Management, (ahead-of-print).
S. Fano, G. Toschi. (2021). Covid-19 Pandemic and the Economy: Sentiment Analysis on Twitter Data, International Journal of computational economics and econometrics, 12(4), pag. 429-444.
S. Fano, S. Oliva (2021). Strategie di sostenibilità ambientale e sociale, Economia Trentina, LXX (1), pag. 59 - 64.
R. Cataldo, S. Fano, T. Venittelli, & A. Basile (2019). Student Evaluation of Teaching: a Partial Least Squares-Path Modeling Approach. Statistica e Applicazioni, 237.
F. Coccon, S. Fano (2020). Effects of a new waste collection policy on the population of yellow-legged gulls, Larus michahellis, in the historic centre of Venice (Italy). European Journal of Wildlife Research, 66, 1-11.
S. Fano, M. Li Calzi, P. Pellizzari, Convergence of outcomes and evolution of strategic behaviour in double auctions, Journal of Evolutionary Economics, July 2013, Volume 23, Issue 3, pp. 513 - 538.
Chapters in books / Collective volumes
S. Fano, D. Slanzi (2018). Evolution of workers' behaviour in dual labor markets, Italian Workshop on Artificial Life and Evolutionary Computation, Springer Cham. pag. 45-56.
S. Fano, D. Slanzi; Using Twitter data to monitor political campaigns and predict election results; De la Prieta, Vale, Antunus, Pinto, Campbell Eds.,Trends in scalable multi-agent systems. The PAAMS Collection, 15th International Conference, PAAMS2017, Springer, 2017, pp.
S. Fano, P. Pellizzari, Time-dependent trading strategies in continuous double auctions, Osinga, Hofstede, Verwaart (eds.), Emergent Results in Artificial Economics, LNEMS vol 652, Springer, 2011, pp. 165-175.
Conference Proceedings
S. Fano, D. Slanzi; Balancing Twitter Data with Survey Information to Predict Electoral Outcomes, in CM Stutzer, O Hellwig, O Tabino, M Thielsch, A Wachenfeld-Schell, Shaping On line Research. Proceedings of the 19th General Online Research Conference., March 2017, pp. 44, (ISBN 978-3-9815106-3-8)
A. Basile, R. Cataldo, S. Fano, (2019), Determinants of student performance in higher education , Statistical Methods for Service Quality Evaluation Book of short papers of IES 2019, Rome, Italy, July 4-5, Napoli, Cuzzolin, Convegno: IES 2019, Rome, Italy, July 4-5 (ISBN 978-88-86638-65-4)
A. Basile, R. Cataldo, S. Fano, T. Venittelli, (2019), Teaching evaluations: a structural equation modelling application , Statistical Methods for Service Quality Evaluation Book of short papers of IES 2019, Rome, Italy, July 4-5, Napoli, Cuzzolin, pp. 310-313, Convegno: IES 2019, Rome, Italy, July 4-5 (ISBN 978-88-86638-65-4)
Working papers
The Effects of Facebook Discussions on Academic Performance, joint Paolo Pellizzari
In this paper we investigate the effects of using a Facebook page exclusively devoted to a first year Mathematics course in a large Italian public university. Posts and discussions supported traditional face-to-face lectures and students could freely post queries and get help from professors and peers. We use a newly constructed dataset to measure how this influences the grade they achieved and the probability of getting a passing grade. We exploit a quasi-natural experinent to compare the performance of students having access to Facebook with that of a large sample of similar students who were not offered a support page in another branch of the university. Difference-in-difference estimates show that students who could access online discussions gain on average 1 additional point out of 30.
Work in progress
S. Fano, After the crisis, are workers allocated to more productive firms? Evidence from the CompNet data, mimeo
This papers takes advantage of CompNet dataset, using data of the 3rd round of data collection. We aim at studying the effect of the financial crisis on allocative efficiency, linking size and productivity of firms. We restrict the analysis to two countries: Belgium and Spain, for which we have representative samples of the population of firms and data up to the year 2011. The main findings can be summarized as follows: (i) the Op gap is higher for tradable than non-tradable sectors, in both Belgium and Spain; (ii) the Op gap is higher in Spain than in Belgium for most sectors; (iii) the financial crisis had a positive and significant effect on allocative efficiency only in Spain, not in Belgium. After the crisis, Spanish sectors are able to better allocate workers to more productive firms. Distinguishing between treadeble and non-tradable sectors, allocative efficiency decreased in tradable sectors and increased in non-tradables. The most inefficient firms in non-tradeble sectors could not survive the crisis while only the others stayed in the market, increasing the value of the allocative efficiency index.